{"id":91226,"date":"2026-09-07T09:19:37","date_gmt":"2026-09-07T06:19:37","guid":{"rendered":"https:\/\/twodots.gr\/?p=91226"},"modified":"2026-09-07T09:19:36","modified_gmt":"2026-09-07T06:19:36","slug":"cas-ai-search-agents-conformal-prediction","status":"publish","type":"post","link":"https:\/\/twodots.gr\/en\/cas-ai-search-agents-conformal-prediction\/","title":{"rendered":"CAS: \u03c0\u03ce\u03c2 \u03bf\u03b9 AI search agents \u03bc\u03b1\u03b8\u03b1\u03af\u03bd\u03bf\u03c5\u03bd \u03bd\u03b1 \u03c8\u03ac\u03c7\u03bd\u03bf\u03c5\u03bd \u03c7\u03c9\u03c1\u03af\u03c2 \u03bd\u03b1 \u03c0\u03b1\u03c1\u03b1\u03c3\u03cd\u03c1\u03bf\u03bd\u03c4\u03b1\u03b9"},"content":{"rendered":"<div class=\"td-article-lede\">\n<p><strong>\u03a4\u03bf CAS \u03b4\u03b5\u03af\u03c7\u03bd\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03bf\u03b9 AI search agents \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03cc \u03ad\u03bb\u03b5\u03b3\u03c7\u03bf \u03b3\u03b9\u03b1 \u03c4\u03bf \u03c0\u03cc\u03c3\u03b1 \u03c4\u03b5\u03ba\u03bc\u03ae\u03c1\u03b9\u03b1 \u03b1\u03bd\u03b1\u03ba\u03c4\u03bf\u03cd\u03bd \u03ba\u03b1\u03b9 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03cc \u03b3\u03b9\u03b1 \u03c4\u03bf \u03c0\u03bf\u03b9\u03b5\u03c2 \u03c3\u03c5\u03bc\u03c0\u03b5\u03c1\u03b9\u03c6\u03bf\u03c1\u03ad\u03c2 \u03b5\u03bd\u03b9\u03c3\u03c7\u03cd\u03bf\u03c5\u03bd \u03c3\u03c4\u03b7\u03bd \u03b5\u03ba\u03c0\u03b1\u03af\u03b4\u03b5\u03c5\u03c3\u03b7.<\/strong> \u039c\u03b5 APS \u03ba\u03b1\u03b9 ACI \u03ad\u03c6\u03c4\u03b1\u03c3\u03b5 \u03bc\u03ad\u03c3\u03bf Exact Match 0,464 \u03c3\u03b5 \u03b5\u03c0\u03c4\u03ac QA datasets, \u03b1\u03bb\u03bb\u03ac \u03c4\u03bf \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1 \u03c0\u03c1\u03bf\u03ad\u03c1\u03c7\u03b5\u03c4\u03b1\u03b9 \u03b1\u03c0\u03cc \u03b5\u03bb\u03b5\u03b3\u03c7\u03cc\u03bc\u03b5\u03bd\u03bf setup \u03ba\u03b1\u03b9 \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03ba\u03b1\u03b8\u03bf\u03bb\u03b9\u03ba\u03ae \u03b5\u03b3\u03b3\u03cd\u03b7\u03c3\u03b7. \u0393\u03b9\u03b1 \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03c3\u03b9\u03b1\u03ba\u03cc RAG, \u03c4\u03bf \u03bf\u03c5\u03c3\u03b9\u03b1\u03c3\u03c4\u03b9\u03ba\u03cc \u03bc\u03bf\u03c4\u03af\u03b2\u03bf \u03b5\u03af\u03bd\u03b1\u03b9 calibrated retrieval, \u03bc\u03ad\u03c4\u03c1\u03b7\u03c3\u03b7 \u03b8\u03bf\u03c1\u03cd\u03b2\u03bf\u03c5, \u03be\u03b5\u03c7\u03c9\u03c1\u03b9\u03c3\u03c4\u03cc answer confidence \u03ba\u03b1\u03b9 \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03b7 \u03b4\u03b9\u03b1\u03b4\u03c1\u03bf\u03bc\u03ae \u03cc\u03c4\u03b1\u03bd \u03c4\u03bf evidence \u03b4\u03b5\u03bd \u03b1\u03c1\u03ba\u03b5\u03af.<\/p>\n<\/div>\n<div class=\"td-article-toc\">\n<div class=\"td-toc-title\">Contents<\/div>\n<ul>\n<li><a href=\"#fixed-top-k-den-einai-engyisi\">\u03a4\u03bf fixed Top-K \u03b5\u03af\u03bd\u03b1\u03b9 \u03bc\u03b9\u03b1 \u03b2\u03bf\u03bb\u03b9\u03ba\u03ae \u03c1\u03cd\u03b8\u03bc\u03b9\u03c3\u03b7, \u03cc\u03c7\u03b9 \u03b5\u03b3\u03b3\u03cd\u03b7\u03c3\u03b7<\/a><\/li>\n<li><a href=\"#conformal-prediction\">\u03a4\u03b9 \u03c0\u03c1\u03bf\u03c3\u03b8\u03ad\u03c4\u03b5\u03b9 \u03c4\u03bf conformal prediction<\/a><\/li>\n<li><a href=\"#aps-adaptive-retrieval\">APS: \u03c4\u03bf context \u03bc\u03b5\u03b3\u03b1\u03bb\u03ce\u03bd\u03b5\u03b9 \u03bc\u03cc\u03bd\u03bf \u03cc\u03c4\u03b1\u03bd \u03c4\u03bf query \u03c4\u03bf \u03b1\u03c0\u03b1\u03b9\u03c4\u03b5\u03af<\/a><\/li>\n<li><a href=\"#aci-policy-weighting\">ACI: \u03c4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03b4\u03b5\u03bd \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b5\u03c0\u03b9\u03b2\u03c1\u03b1\u03b2\u03b5\u03cd\u03b5\u03c4\u03b1\u03b9 \u03b3\u03b9\u03b1 \u03ad\u03bd\u03b1 \u03c4\u03c5\u03c7\u03b5\u03c1\u03cc guess<\/a><\/li>\n<li><a href=\"#axiologisi-cas\">\u03a0\u03ce\u03c2 \u03b4\u03bf\u03ba\u03b9\u03bc\u03ac\u03c3\u03c4\u03b7\u03ba\u03b5 \u03c4\u03bf CAS<\/a><\/li>\n<li><a href=\"#sygkriseis-cas\">\u03a4\u03b9 \u03ad\u03b4\u03b5\u03b9\u03be\u03b1\u03bd \u03bf\u03b9 \u03c3\u03c5\u03b3\u03ba\u03c1\u03af\u03c3\u03b5\u03b9\u03c2<\/a><\/li>\n<li><a href=\"#kalypsi-kai-thoryvos\">\u03a4\u03bf \u03b4\u03cd\u03c3\u03ba\u03bf\u03bb\u03bf trade-off \u03b1\u03bd\u03ac\u03bc\u03b5\u03c3\u03b1 \u03c3\u03c4\u03b7\u03bd \u03ba\u03ac\u03bb\u03c5\u03c8\u03b7 \u03ba\u03b1\u03b9 \u03c4\u03bf\u03bd \u03b8\u03cc\u03c1\u03c5\u03b2\u03bf<\/a><\/li>\n<li><a href=\"#rag-agentic-workflows\">\u03a4\u03b9 \u03c3\u03b7\u03bc\u03b1\u03af\u03bd\u03b5\u03b9 \u03b1\u03c5\u03c4\u03cc \u03b3\u03b9\u03b1 RAG \u03ba\u03b1\u03b9 agentic workflows<\/a><\/li>\n<li><a href=\"#periorismoi-cas\">\u039f\u03b9 \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03b9\u03c3\u03bc\u03bf\u03af \u03c0\u03bf\u03c5 \u03b4\u03b5\u03bd \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03ba\u03c1\u03c5\u03c6\u03c4\u03bf\u03cd\u03bd<\/a><\/li>\n<li><a href=\"#asfales-pilot-epicheiriseis\">\u0388\u03bd\u03b1 \u03b1\u03c3\u03c6\u03b1\u03bb\u03ad\u03c2 \u03c0\u03bb\u03ac\u03bd\u03bf \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7\u03c2 \u03b3\u03b9\u03b1 \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03ae\u03c3\u03b5\u03b9\u03c2<\/a><\/li>\n<li><a href=\"#symperasma-ai-search-agents\">\u0391\u03c0\u03cc \u03c4\u03bf \u00ab\u03b2\u03c1\u03ae\u03ba\u03b5 \u03ba\u03ac\u03c4\u03b9\u00bb \u03c3\u03c4\u03bf \u00ab\u03b2\u03c1\u03ae\u03ba\u03b5 \u03b1\u03c1\u03ba\u03b5\u03c4\u03ac \u03ba\u03b1\u03b9 \u03b1\u03be\u03b9\u03cc\u03c0\u03b9\u03c3\u03c4\u03b1\u00bb<\/a><\/li>\n<\/ul>\n<\/div>\n<p>\u0388\u03bd\u03b1\u03c2 AI agent \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03ba\u03ac\u03bd\u03b5\u03b9 \u03b1\u03bd\u03b1\u03b6\u03ae\u03c4\u03b7\u03c3\u03b7, \u03bd\u03b1 \u03b1\u03bd\u03bf\u03af\u03b3\u03b5\u03b9 \u03c0\u03b7\u03b3\u03ad\u03c2 \u03ba\u03b1\u03b9 \u03bd\u03b1 \u03b5\u03c0\u03b9\u03c3\u03c4\u03c1\u03ad\u03c6\u03b5\u03b9 \u03bc\u03b9\u03b1 \u03c0\u03b5\u03b9\u03c3\u03c4\u03b9\u03ba\u03ae \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7. \u0391\u03c5\u03c4\u03cc \u03cc\u03bc\u03c9\u03c2 \u03b4\u03b5\u03bd \u03c3\u03b7\u03bc\u03b1\u03af\u03bd\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03b1\u03bd\u03b1\u03b6\u03ae\u03c4\u03b7\u03c3\u03b5 \u03c3\u03c9\u03c3\u03c4\u03ac. \u039c\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03c0\u03ae\u03c1\u03b5 \u03c0\u03bf\u03bb\u03cd \u03bb\u03af\u03b3\u03b1 \u03ad\u03b3\u03b3\u03c1\u03b1\u03c6\u03b1 \u03ba\u03b1\u03b9 \u03bd\u03b1 \u03ad\u03c7\u03b1\u03c3\u03b5 \u03c4\u03bf \u03ba\u03c1\u03af\u03c3\u03b9\u03bc\u03bf \u03c3\u03c4\u03bf\u03b9\u03c7\u03b5\u03af\u03bf, \u03bd\u03b1 \u03c0\u03ae\u03c1\u03b5 \u03c0\u03ac\u03c1\u03b1 \u03c0\u03bf\u03bb\u03bb\u03ac \u03ba\u03b1\u03b9 \u03bd\u03b1 \u03bc\u03c0\u03b5\u03c1\u03b4\u03b5\u03cd\u03c4\u03b7\u03ba\u03b5 \u03b1\u03c0\u03cc \u03c4\u03bf\u03bd \u03b8\u03cc\u03c1\u03c5\u03b2\u03bf \u03ae \u03bd\u03b1 \u03c3\u03c5\u03bd\u03ad\u03c7\u03b9\u03c3\u03b5 \u03bd\u03b1 \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03b5\u03af \u03b5\u03c1\u03b3\u03b1\u03bb\u03b5\u03af\u03b1 \u03b5\u03c0\u03b5\u03b9\u03b4\u03ae \u03b4\u03b5\u03bd \u00ab\u03ae\u03be\u03b5\u03c1\u03b5\u00bb \u03c0\u03cc\u03c4\u03b5 \u03b5\u03af\u03c7\u03b5 \u03b1\u03c1\u03ba\u03b5\u03c4\u03ae \u03c4\u03b5\u03ba\u03bc\u03b7\u03c1\u03af\u03c9\u03c3\u03b7. \u03a4\u03bf paper <em>CAS: Conformalized Agentic Search via Adaptive Retrieval and Policy Weighting<\/em> \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b5\u03af \u03bd\u03b1 \u03b1\u03bd\u03c4\u03b9\u03bc\u03b5\u03c4\u03c9\u03c0\u03af\u03c3\u03b5\u03b9 \u03b1\u03c5\u03c4\u03cc \u03c4\u03bf \u03c0\u03c1\u03cc\u03b2\u03bb\u03b7\u03bc\u03b1 \u03bc\u03b5 \u03ad\u03bd\u03b1\u03bd \u03bc\u03b7\u03c7\u03b1\u03bd\u03b9\u03c3\u03bc\u03cc \u03c0\u03bf\u03c5 \u03b4\u03b5\u03bd \u03b2\u03b1\u03c3\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 \u03b1\u03c0\u03bb\u03ce\u03c2 \u03c3\u03b5 \u03ad\u03bd\u03b1 \u03b1\u03ba\u03cc\u03bc\u03b7 prompt.<\/p>\n<p>\u039f\u03b9 \u03b5\u03c1\u03b5\u03c5\u03bd\u03b7\u03c4\u03ad\u03c2 \u03b5\u03b9\u03c3\u03ac\u03b3\u03bf\u03c5\u03bd \u03c4\u03bf conformal prediction, \u03bc\u03b9\u03b1 \u03c3\u03c4\u03b1\u03c4\u03b9\u03c3\u03c4\u03b9\u03ba\u03ae \u03c0\u03c1\u03bf\u03c3\u03ad\u03b3\u03b3\u03b9\u03c3\u03b7 \u03c0\u03bf\u03c3\u03bf\u03c4\u03b9\u03ba\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b7\u03c2 \u03b1\u03b2\u03b5\u03b2\u03b1\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1\u03c2, \u03c3\u03b5 \u03b4\u03cd\u03bf \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ac \u03c3\u03b7\u03bc\u03b5\u03af\u03b1 \u03c4\u03bf\u03c5 search agent. \u03a3\u03c4\u03bf retrieval, \u03c4\u03bf Adaptive Prediction Set \u03ae APS \u03b1\u03c0\u03bf\u03c6\u03b1\u03c3\u03af\u03b6\u03b5\u03b9 \u03b4\u03c5\u03bd\u03b1\u03bc\u03b9\u03ba\u03ac \u03c0\u03cc\u03c3\u03b1 \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03ad\u03c3\u03bc\u03b1\u03c4\u03b1 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03c0\u03b5\u03c1\u03ac\u03c3\u03bf\u03c5\u03bd \u03c3\u03c4\u03bf context. \u03a3\u03c4\u03b7\u03bd \u03b5\u03ba\u03c0\u03b1\u03af\u03b4\u03b5\u03c5\u03c3\u03b7, \u03c4\u03bf Adaptive Conformal Inference \u03ae ACI \u03c5\u03c0\u03bf\u03b2\u03b1\u03b8\u03bc\u03af\u03b6\u03b5\u03b9 \u03c4\u03b7\u03bd \u03b5\u03c0\u03b9\u03c1\u03c1\u03bf\u03ae trajectories \u03c7\u03b1\u03bc\u03b7\u03bb\u03ae\u03c2 \u03b5\u03bc\u03c0\u03b9\u03c3\u03c4\u03bf\u03c3\u03cd\u03bd\u03b7\u03c2 \u03bc\u03ad\u03c3\u03b1 \u03c3\u03c4\u03bf GRPO. \u0397 \u03b2\u03b1\u03c3\u03b9\u03ba\u03ae \u03b9\u03b4\u03ad\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c0\u03c1\u03b1\u03ba\u03c4\u03b9\u03ba\u03ae: \u03b4\u03b5\u03bd \u03b1\u03c1\u03ba\u03b5\u03af \u03bd\u03b1 \u03b1\u03bd\u03c4\u03b1\u03bc\u03b5\u03af\u03b2\u03b5\u03b9\u03c2 \u03c4\u03b7 \u03c3\u03c9\u03c3\u03c4\u03ae \u03c4\u03b5\u03bb\u03b9\u03ba\u03ae \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7. \u03a0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b5\u03bb\u03ad\u03b3\u03c7\u03b5\u03b9\u03c2 \u03ba\u03b1\u03b9 \u03c4\u03b7\u03bd \u03c0\u03bf\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1 \u03c4\u03b7\u03c2 \u03c0\u03bb\u03b7\u03c1\u03bf\u03c6\u03bf\u03c1\u03af\u03b1\u03c2 \u03c0\u03bf\u03c5 \u03bc\u03c0\u03b1\u03af\u03bd\u03b5\u03b9, \u03b1\u03bb\u03bb\u03ac \u03ba\u03b1\u03b9 \u03c0\u03cc\u03c3\u03bf \u03b1\u03be\u03b9\u03cc\u03c0\u03b9\u03c3\u03c4\u03b7 \u03ae\u03c4\u03b1\u03bd \u03b7 \u03b4\u03b9\u03b1\u03b4\u03c1\u03bf\u03bc\u03ae \u03c0\u03bf\u03c5 \u03bf\u03b4\u03ae\u03b3\u03b7\u03c3\u03b5 \u03c3\u03c4\u03b7\u03bd \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7.<\/p>\n<h2 id=\"fixed-top-k-den-einai-engyisi\">\u03a4\u03bf fixed Top-K \u03b5\u03af\u03bd\u03b1\u03b9 \u03bc\u03b9\u03b1 \u03b2\u03bf\u03bb\u03b9\u03ba\u03ae \u03c1\u03cd\u03b8\u03bc\u03b9\u03c3\u03b7, \u03cc\u03c7\u03b9 \u03b5\u03b3\u03b3\u03cd\u03b7\u03c3\u03b7<\/h2>\n<p>\u03a0\u03bf\u03bb\u03bb\u03ac <a href=\"https:\/\/twodots.gr\/private-chatbot-rag-knowledge-base-business\/\">RAG \u03c3\u03c5\u03c3\u03c4\u03ae\u03bc\u03b1\u03c4\u03b1<\/a> \u03ba\u03b1\u03b9 agentic search \u03c3\u03c5\u03c3\u03c4\u03ae\u03bc\u03b1\u03c4\u03b1 \u03ba\u03c1\u03b1\u03c4\u03bf\u03cd\u03bd \u03c4\u03b1 \u03c0\u03c1\u03ce\u03c4\u03b1 K \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03ad\u03c3\u03bc\u03b1\u03c4\u03b1 \u03bc\u03b9\u03b1\u03c2 \u03b1\u03bd\u03b1\u03b6\u03ae\u03c4\u03b7\u03c3\u03b7\u03c2. \u0397 \u03c1\u03cd\u03b8\u03bc\u03b9\u03c3\u03b7 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03c0\u03bb\u03ae \u03ba\u03b1\u03b9 \u03c0\u03c1\u03bf\u03b2\u03bb\u03ad\u03c8\u03b9\u03bc\u03b7 \u03b1\u03c0\u03cc \u03c0\u03bb\u03b5\u03c5\u03c1\u03ac\u03c2 \u03ba\u03cc\u03c3\u03c4\u03bf\u03c5\u03c2, \u03b1\u03bb\u03bb\u03ac \u03b1\u03bd\u03c4\u03b9\u03bc\u03b5\u03c4\u03c9\u03c0\u03af\u03b6\u03b5\u03b9 \u03cc\u03bb\u03b5\u03c2 \u03c4\u03b9\u03c2 \u03b5\u03c1\u03c9\u03c4\u03ae\u03c3\u03b5\u03b9\u03c2 \u03c3\u03b1\u03bd \u03bd\u03b1 \u03ad\u03c7\u03bf\u03c5\u03bd \u03c4\u03b7\u03bd \u03af\u03b4\u03b9\u03b1 \u03b4\u03c5\u03c3\u03ba\u03bf\u03bb\u03af\u03b1. \u039c\u03b9\u03b1 \u03c3\u03b1\u03c6\u03ae\u03c2, \u03bc\u03bf\u03bd\u03bf\u03c3\u03ae\u03bc\u03b1\u03bd\u03c4\u03b7 \u03b5\u03c1\u03ce\u03c4\u03b7\u03c3\u03b7 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03ad\u03bd\u03b1 \u03ae \u03b4\u03cd\u03bf \u03ba\u03b1\u03bb\u03ac \u03ad\u03b3\u03b3\u03c1\u03b1\u03c6\u03b1. \u039c\u03b9\u03b1 multi-hop \u03b5\u03c1\u03ce\u03c4\u03b7\u03c3\u03b7, \u03cc\u03c0\u03bf\u03c5 \u03b7 \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7 \u03c0\u03c1\u03bf\u03ba\u03cd\u03c0\u03c4\u03b5\u03b9 \u03b1\u03c0\u03cc \u03b4\u03b9\u03b1\u03b4\u03bf\u03c7\u03b9\u03ba\u03ad\u03c2 \u03c3\u03c5\u03bd\u03b4\u03ad\u03c3\u03b5\u03b9\u03c2, \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03bc\u03b5\u03b3\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03bf \u03c3\u03cd\u03bd\u03bf\u03bb\u03bf \u03b1\u03c0\u03bf\u03b4\u03b5\u03af\u03be\u03b5\u03c9\u03bd.<\/p>\n<p>\u03a4\u03bf \u03c0\u03c1\u03cc\u03b2\u03bb\u03b7\u03bc\u03b1 \u03b5\u03bc\u03c6\u03b1\u03bd\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 \u03ba\u03b1\u03b9 \u03c3\u03c4\u03b9\u03c2 \u03b4\u03cd\u03bf \u03ba\u03b1\u03c4\u03b5\u03c5\u03b8\u03cd\u03bd\u03c3\u03b5\u03b9\u03c2. \u0391\u03bd \u03c4\u03bf K \u03b5\u03af\u03bd\u03b1\u03b9 \u03bc\u03b9\u03ba\u03c1\u03cc, \u03c4\u03bf \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03ba\u03cc\u03c8\u03b5\u03b9 \u03c4\u03bf \u03ad\u03b3\u03b3\u03c1\u03b1\u03c6\u03bf \u03c0\u03bf\u03c5 \u03c0\u03b5\u03c1\u03b9\u03ad\u03c7\u03b5\u03b9 \u03c4\u03bf \u03ba\u03c1\u03af\u03c3\u03b9\u03bc\u03bf \u03b3\u03b5\u03b3\u03bf\u03bd\u03cc\u03c2. \u0391\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03bc\u03b5\u03b3\u03ac\u03bb\u03bf, \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b3\u03b5\u03bc\u03af\u03c3\u03b5\u03b9 \u03c4\u03bf context \u03bc\u03b5 \u03bf\u03bd\u03cc\u03bc\u03b1\u03c4\u03b1, \u03b7\u03bc\u03b5\u03c1\u03bf\u03bc\u03b7\u03bd\u03af\u03b5\u03c2 \u03ae \u03ad\u03bd\u03bd\u03bf\u03b9\u03b5\u03c2 \u03c0\u03bf\u03c5 \u03bc\u03bf\u03b9\u03ac\u03b6\u03bf\u03c5\u03bd \u03c3\u03c7\u03b5\u03c4\u03b9\u03ba\u03ad\u03c2 \u03b1\u03bb\u03bb\u03ac \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9. \u03a4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03c4\u03cc\u03c4\u03b5 \u03b4\u03b5\u03bd \u03ad\u03c7\u03b5\u03b9 \u03b1\u03c0\u03bb\u03ce\u03c2 \u00ab\u03c0\u03b5\u03c1\u03b9\u03c3\u03c3\u03cc\u03c4\u03b5\u03c1\u03b7 \u03b3\u03bd\u03ce\u03c3\u03b7\u00bb. \u0388\u03c7\u03b5\u03b9 \u03c0\u03b5\u03c1\u03b9\u03c3\u03c3\u03cc\u03c4\u03b5\u03c1\u03b1 \u03c3\u03b7\u03bc\u03b5\u03af\u03b1 \u03c3\u03c4\u03b1 \u03bf\u03c0\u03bf\u03af\u03b1 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03c3\u03c4\u03b7\u03c1\u03af\u03be\u03b5\u03b9 \u03bc\u03b9\u03b1 \u03bb\u03ac\u03b8\u03bf\u03c2 \u03c3\u03cd\u03bd\u03b4\u03b5\u03c3\u03b7.<\/p>\n<p>\u0393\u03b9\u03b1 \u03bc\u03b9\u03b1 \u03b5\u03c0\u03b9\u03c7\u03b5\u03af\u03c1\u03b7\u03c3\u03b7, \u03b1\u03c5\u03c4\u03cc \u03bc\u03b5\u03c4\u03b1\u03c6\u03c1\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c3\u03b5 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc \u03c3\u03c7\u03b5\u03b4\u03b9\u03b1\u03c3\u03c4\u03b9\u03ba\u03cc \u03c1\u03af\u03c3\u03ba\u03bf. \u0388\u03bd\u03b1 bot \u03c5\u03c0\u03bf\u03c3\u03c4\u03ae\u03c1\u03b9\u03be\u03b7\u03c2, \u03ad\u03bd\u03b1\u03c2 \u03b2\u03bf\u03b7\u03b8\u03cc\u03c2 \u03c0\u03c9\u03bb\u03ae\u03c3\u03b5\u03c9\u03bd \u03ae \u03ad\u03bd\u03b1 <a href=\"https:\/\/twodots.gr\/hybrid-ai-search-papers-with-code\/\">\u03b5\u03c1\u03b3\u03b1\u03bb\u03b5\u03af\u03bf \u03c5\u03b2\u03c1\u03b9\u03b4\u03b9\u03ba\u03ae\u03c2 \u03ad\u03c1\u03b5\u03c5\u03bd\u03b1\u03c2 \u03b1\u03b3\u03bf\u03c1\u03ac\u03c2<\/a> \u03b4\u03b5\u03bd \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b1\u03bd\u03b1\u03ba\u03c4\u03ac \u03bc\u03b7\u03c7\u03b1\u03bd\u03b9\u03ba\u03ac \u03c4\u03bf \u03af\u03b4\u03b9\u03bf \u03c0\u03bb\u03ae\u03b8\u03bf\u03c2 chunks \u03b3\u03b9\u03b1 \u03ba\u03ac\u03b8\u03b5 \u03b1\u03af\u03c4\u03b7\u03bc\u03b1. \u03a4\u03bf CAS \u03b4\u03b5\u03bd \u03b1\u03c0\u03bf\u03b4\u03b5\u03b9\u03ba\u03bd\u03cd\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03b7 \u03b4\u03b9\u03ba\u03ae \u03c4\u03bf\u03c5 \u03bb\u03cd\u03c3\u03b7 \u03bb\u03b5\u03b9\u03c4\u03bf\u03c5\u03c1\u03b3\u03b5\u03af \u03ae\u03b4\u03b7 \u03c3\u03b5 \u03c4\u03ad\u03c4\u03bf\u03b9\u03b5\u03c2 \u03c0\u03b1\u03c1\u03b1\u03b3\u03c9\u03b3\u03b9\u03ba\u03ad\u03c2 \u03b5\u03c6\u03b1\u03c1\u03bc\u03bf\u03b3\u03ad\u03c2, \u03b1\u03bb\u03bb\u03ac \u03c4\u03b5\u03ba\u03bc\u03b7\u03c1\u03b9\u03ce\u03bd\u03b5\u03b9 \u03ba\u03b1\u03b8\u03b1\u03c1\u03ac \u03b3\u03b9\u03b1\u03c4\u03af \u03b7 \u03c3\u03c4\u03b1\u03c4\u03b9\u03ba\u03ae \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ae context \u03b1\u03be\u03af\u03b6\u03b5\u03b9 \u03bd\u03b1 \u03b1\u03bd\u03c4\u03b9\u03bc\u03b5\u03c4\u03c9\u03c0\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c9\u03c2 \u03c5\u03c0\u03cc\u03b8\u03b5\u03c3\u03b7 \u03c0\u03bf\u03c5 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b5\u03bb\u03b5\u03b3\u03c7\u03b8\u03b5\u03af.<\/p>\n<h2 id=\"conformal-prediction\">\u03a4\u03b9 \u03c0\u03c1\u03bf\u03c3\u03b8\u03ad\u03c4\u03b5\u03b9 \u03c4\u03bf conformal prediction<\/h2>\n<p>\u03a4\u03bf conformal prediction \u03b4\u03b7\u03bc\u03b9\u03bf\u03c5\u03c1\u03b3\u03b5\u03af \u03c3\u03cd\u03bd\u03bf\u03bb\u03b1 \u03c0\u03c1\u03bf\u03b2\u03bb\u03ad\u03c8\u03b5\u03c9\u03bd \u03bc\u03b5 \u03c0\u03c1\u03bf\u03ba\u03b1\u03b8\u03bf\u03c1\u03b9\u03c3\u03bc\u03ad\u03bd\u03bf \u03c3\u03c4\u03cc\u03c7\u03bf \u03ba\u03ac\u03bb\u03c5\u03c8\u03b7\u03c2. \u0391\u03bd \u03bf \u03c7\u03c1\u03ae\u03c3\u03c4\u03b7\u03c2 \u03bf\u03c1\u03af\u03c3\u03b5\u03b9 \u03c0\u03bf\u03c3\u03bf\u03c3\u03c4\u03cc \u03c3\u03c6\u03ac\u03bb\u03bc\u03b1\u03c4\u03bf\u03c2 \u03b1, \u03b7 \u03c4\u03c5\u03c0\u03b9\u03ba\u03ae \u03b4\u03b9\u03b1\u03c4\u03cd\u03c0\u03c9\u03c3\u03b7 \u03c3\u03c4\u03bf\u03c7\u03b5\u03cd\u03b5\u03b9 \u03c3\u03b5 \u03bf\u03c1\u03b9\u03b1\u03ba\u03ae \u03ba\u03ac\u03bb\u03c5\u03c8\u03b7 \u03c4\u03bf\u03c5\u03bb\u03ac\u03c7\u03b9\u03c3\u03c4\u03bf\u03bd 1-\u03b1, \u03c5\u03c0\u03cc \u03c4\u03b9\u03c2 \u03b1\u03c0\u03b1\u03b9\u03c4\u03bf\u03cd\u03bc\u03b5\u03bd\u03b5\u03c2 \u03c5\u03c0\u03bf\u03b8\u03ad\u03c3\u03b5\u03b9\u03c2 \u03b2\u03b1\u03b8\u03bc\u03bf\u03bd\u03cc\u03bc\u03b7\u03c3\u03b7\u03c2. \u0391\u03bd\u03c4\u03af \u03bd\u03b1 \u03b6\u03b7\u03c4\u03ac \u03b1\u03c0\u03cc \u03c4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03bd\u03b1 \u03b4\u03b7\u03bb\u03ce\u03c3\u03b5\u03b9 \u03bc\u03b5 \u03bc\u03b9\u03b1 \u03b1\u03c5\u03b8\u03b1\u03af\u03c1\u03b5\u03c4\u03b7 \u03ba\u03bb\u03af\u03bc\u03b1\u03ba\u03b1 \u03c0\u03cc\u03c3\u03bf \u03c3\u03af\u03b3\u03bf\u03c5\u03c1\u03bf \u03b5\u03af\u03bd\u03b1\u03b9, \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03b5\u03af scores \u03bc\u03b7 \u03c3\u03c5\u03bc\u03bc\u03cc\u03c1\u03c6\u03c9\u03c3\u03b7\u03c2 \u03ba\u03b1\u03b9 \u03ad\u03bd\u03b1 calibration set \u03b3\u03b9\u03b1 \u03bd\u03b1 \u03c5\u03c0\u03bf\u03bb\u03bf\u03b3\u03af\u03c3\u03b5\u03b9 \u03ba\u03b1\u03c4\u03ce\u03c6\u03bb\u03b9.<\/p>\n<p>\u0397 \u03bb\u03ad\u03be\u03b7 \u00ab\u03bf\u03c1\u03b9\u03b1\u03ba\u03ae\u00bb \u03ad\u03c7\u03b5\u03b9 \u03c3\u03b7\u03bc\u03b1\u03c3\u03af\u03b1. \u0397 \u03b5\u03b3\u03b3\u03cd\u03b7\u03c3\u03b7 \u03b1\u03c6\u03bf\u03c1\u03ac \u03c4\u03b7 \u03c3\u03c5\u03bc\u03c0\u03b5\u03c1\u03b9\u03c6\u03bf\u03c1\u03ac \u03c3\u03b5 \u03ad\u03bd\u03b1 \u03c3\u03cd\u03bd\u03bf\u03bb\u03bf \u03c0\u03b5\u03c1\u03b9\u03c0\u03c4\u03ce\u03c3\u03b5\u03c9\u03bd, \u03cc\u03c7\u03b9 \u03b2\u03b5\u03b2\u03b1\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1 \u03b3\u03b9\u03b1 \u03ba\u03ac\u03b8\u03b5 \u03bc\u03b5\u03bc\u03bf\u03bd\u03c9\u03bc\u03ad\u03bd\u03bf query. \u0395\u03c0\u03af\u03c3\u03b7\u03c2, \u03c4\u03bf \u03ba\u03bb\u03b1\u03c3\u03b9\u03ba\u03cc conformal prediction \u03c3\u03c4\u03b7\u03c1\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c3\u03b5 \u03b1\u03bd\u03c4\u03b1\u03bb\u03bb\u03b1\u03be\u03b9\u03bc\u03cc\u03c4\u03b7\u03c4\u03b1 \u03c4\u03c9\u03bd \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03c9\u03bd. \u03a3\u03c4\u03bf reinforcement learning \u03b7 \u03c0\u03bf\u03bb\u03b9\u03c4\u03b9\u03ba\u03ae \u03b1\u03bb\u03bb\u03ac\u03b6\u03b5\u03b9 \u03c3\u03c5\u03bd\u03b5\u03c7\u03ce\u03c2, \u03ac\u03c1\u03b1 \u03b7 \u03ba\u03b1\u03c4\u03b1\u03bd\u03bf\u03bc\u03ae \u03c4\u03c9\u03bd \u03bd\u03ad\u03c9\u03bd trajectories \u03b4\u03b5\u03bd \u03bc\u03ad\u03bd\u03b5\u03b9 \u03c3\u03c4\u03b1\u03b8\u03b5\u03c1\u03ae. \u0393\u03b9\u2019 \u03b1\u03c5\u03c4\u03cc \u03c4\u03bf CAS \u03b4\u03b5\u03bd \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03b5\u03af \u03ad\u03bd\u03b1\u03bd \u03bc\u03cc\u03bd\u03bf \u03c3\u03c4\u03b1\u03c4\u03b9\u03ba\u03cc \u03bc\u03b7\u03c7\u03b1\u03bd\u03b9\u03c3\u03bc\u03cc \u03c0\u03b1\u03bd\u03c4\u03bf\u03cd.<\/p>\n<p>\u03a4\u03bf paper \u03c3\u03c5\u03bd\u03b4\u03c5\u03ac\u03b6\u03b5\u03b9 \u03b4\u03cd\u03bf \u03c5\u03bb\u03bf\u03c0\u03bf\u03b9\u03ae\u03c3\u03b5\u03b9\u03c2: APS \u03b3\u03b9\u03b1 \u03c4\u03bf retrieval \u03ba\u03b1\u03b9 ACI \u03b3\u03b9\u03b1 \u03c4\u03b7 \u03c1\u03bf\u03ae \u03b5\u03ba\u03c0\u03b1\u03af\u03b4\u03b5\u03c5\u03c3\u03b7\u03c2. \u0391\u03c5\u03c4\u03ae \u03b7 \u03b4\u03b9\u03ac\u03ba\u03c1\u03b9\u03c3\u03b7 \u03b5\u03af\u03bd\u03b1\u03b9 \u03bf\u03c5\u03c3\u03b9\u03b1\u03c3\u03c4\u03b9\u03ba\u03cc\u03c4\u03b5\u03c1\u03b7 \u03b1\u03c0\u03cc \u03c4\u03b7\u03bd \u03bf\u03c1\u03bf\u03bb\u03bf\u03b3\u03af\u03b1. \u03a4\u03bf \u03c0\u03c1\u03ce\u03c4\u03bf \u03b5\u03bb\u03ad\u03b3\u03c7\u03b5\u03b9 \u03c0\u03bf\u03b9\u03b1 \u03b5\u03be\u03c9\u03c4\u03b5\u03c1\u03b9\u03ba\u03ae \u03c0\u03bb\u03b7\u03c1\u03bf\u03c6\u03bf\u03c1\u03af\u03b1 \u03c6\u03c4\u03ac\u03bd\u03b5\u03b9 \u03c3\u03c4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf. \u03a4\u03bf \u03b4\u03b5\u03cd\u03c4\u03b5\u03c1\u03bf \u03b5\u03bb\u03ad\u03b3\u03c7\u03b5\u03b9 \u03c0\u03bf\u03b9\u03b1 \u03c3\u03c5\u03bc\u03c0\u03b5\u03c1\u03b9\u03c6\u03bf\u03c1\u03ac \u03b5\u03bd\u03b9\u03c3\u03c7\u03cd\u03b5\u03c4\u03b1\u03b9 \u03cc\u03c4\u03b1\u03bd \u03c4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03b5\u03ba\u03c0\u03b1\u03b9\u03b4\u03b5\u03cd\u03b5\u03c4\u03b1\u03b9 \u03b1\u03c0\u03cc \u03b1\u03bd\u03c4\u03b1\u03bc\u03bf\u03b9\u03b2\u03ad\u03c2.<\/p>\n<h2 id=\"aps-adaptive-retrieval\">APS: \u03c4\u03bf context \u03bc\u03b5\u03b3\u03b1\u03bb\u03ce\u03bd\u03b5\u03b9 \u03bc\u03cc\u03bd\u03bf \u03cc\u03c4\u03b1\u03bd \u03c4\u03bf query \u03c4\u03bf \u03b1\u03c0\u03b1\u03b9\u03c4\u03b5\u03af<\/h2>\n<p>\u03a3\u03c4\u03b7\u03bd \u03c0\u03bb\u03b5\u03c5\u03c1\u03ac \u03c4\u03b7\u03c2 \u03b1\u03bd\u03b1\u03b6\u03ae\u03c4\u03b7\u03c3\u03b7\u03c2, \u03c4\u03bf \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1 \u03bb\u03b1\u03bc\u03b2\u03ac\u03bd\u03b5\u03b9 \u03c4\u03b1 \u03b1\u03c1\u03c7\u03b9\u03ba\u03ac \u03ad\u03b3\u03b3\u03c1\u03b1\u03c6\u03b1 \u03ba\u03b1\u03b9 \u03bc\u03b5\u03c4\u03b1\u03c4\u03c1\u03ad\u03c0\u03b5\u03b9 \u03c4\u03b1 retrieval scores \u03c3\u03b5 \u03c0\u03b9\u03b8\u03b1\u03bd\u03cc\u03c4\u03b7\u03c4\u03b5\u03c2 \u03bc\u03ad\u03c3\u03c9 softmax. \u0388\u03c0\u03b5\u03b9\u03c4\u03b1 \u03c0\u03c1\u03bf\u03c3\u03b8\u03ad\u03c4\u03b5\u03b9 \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03ad\u03c3\u03bc\u03b1\u03c4\u03b1 \u03ba\u03b1\u03c4\u03ac \u03c3\u03b5\u03b9\u03c1\u03ac \u03bc\u03ad\u03c7\u03c1\u03b9 \u03b7 \u03c3\u03c9\u03c1\u03b5\u03c5\u03c4\u03b9\u03ba\u03ae \u03c0\u03b9\u03b8\u03b1\u03bd\u03cc\u03c4\u03b7\u03c4\u03b1 \u03bd\u03b1 \u03be\u03b5\u03c0\u03b5\u03c1\u03ac\u03c3\u03b5\u03b9 \u03c4\u03bf \u03b2\u03b1\u03b8\u03bc\u03bf\u03bd\u03bf\u03bc\u03b7\u03bc\u03ad\u03bd\u03bf \u03ba\u03b1\u03c4\u03ce\u03c6\u03bb\u03b9. \u0388\u03bd\u03b1 query \u03bc\u03b5 \u03ba\u03b1\u03b8\u03b1\u03c1\u03cc \u03ba\u03bf\u03c1\u03c5\u03c6\u03b1\u03af\u03bf \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03c0\u03ac\u03c1\u03b5\u03b9 \u03bc\u03b9\u03ba\u03c1\u03cc \u03c3\u03cd\u03bd\u03bf\u03bb\u03bf. \u0388\u03bd\u03b1 \u03b1\u03bc\u03c6\u03af\u03b2\u03bf\u03bb\u03bf query, \u03cc\u03c0\u03bf\u03c5 \u03b7 \u03c0\u03b9\u03b8\u03b1\u03bd\u03cc\u03c4\u03b7\u03c4\u03b1 \u03bc\u03bf\u03b9\u03c1\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c3\u03b5 \u03c0\u03b5\u03c1\u03b9\u03c3\u03c3\u03cc\u03c4\u03b5\u03c1\u03b1 \u03ad\u03b3\u03b3\u03c1\u03b1\u03c6\u03b1, \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03c0\u03ac\u03c1\u03b5\u03b9 \u03bc\u03b5\u03b3\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03bf.<\/p>\n<p>\u03a3\u03c4\u03bf \u03c0\u03c1\u03bf\u03b5\u03c0\u03b9\u03bb\u03b5\u03b3\u03bc\u03ad\u03bd\u03bf \u03c0\u03b5\u03af\u03c1\u03b1\u03bc\u03b1, \u03c4\u03bf APS significance level \u03ae\u03c4\u03b1\u03bd 0,20 \u03ba\u03b1\u03b9 \u03b7 \u03b1\u03bd\u03ac\u03ba\u03c4\u03b7\u03c3\u03b7 \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03b9\u03b6\u03cc\u03c4\u03b1\u03bd \u03b1\u03c0\u03cc \u03ad\u03bd\u03b1 \u03ad\u03c9\u03c2 \u03c0\u03ad\u03bd\u03c4\u03b5 \u03ad\u03b3\u03b3\u03c1\u03b1\u03c6\u03b1. \u03a4\u03bf calibration set \u03c4\u03bf\u03c5 APS \u03c0\u03b5\u03c1\u03b9\u03b5\u03af\u03c7\u03b5 239 queries. \u03a0\u03c1\u03bf\u03ad\u03ba\u03c5\u03c8\u03b5 \u03b1\u03c0\u03cc 150 \u03b1\u03c1\u03c7\u03b9\u03ba\u03ad\u03c2 \u03b5\u03c1\u03c9\u03c4\u03ae\u03c3\u03b5\u03b9\u03c2, \u03cc\u03c0\u03bf\u03c5 \u03ad\u03bd\u03b1 \u03b9\u03c3\u03c7\u03c5\u03c1\u03cc \u03b5\u03be\u03c9\u03c4\u03b5\u03c1\u03b9\u03ba\u03cc \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf, \u03c4\u03bf DeepSeek-V3.2, \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03ae\u03b8\u03b7\u03ba\u03b5 \u03c4\u03cc\u03c3\u03bf \u03b3\u03b9\u03b1 decomposition \u03c4\u03c9\u03bd multi-hop \u03b5\u03c1\u03c9\u03c4\u03ae\u03c3\u03b5\u03c9\u03bd \u03cc\u03c3\u03bf \u03ba\u03b1\u03b9 \u03b3\u03b9\u03b1 \u03b5\u03bd\u03c4\u03bf\u03c0\u03b9\u03c3\u03bc\u03cc \u03c4\u03c9\u03bd \u03b5\u03b3\u03b3\u03c1\u03ac\u03c6\u03c9\u03bd \u03c0\u03bf\u03c5 \u03c5\u03c0\u03bf\u03c3\u03c4\u03ae\u03c1\u03b9\u03b6\u03b1\u03bd \u03c4\u03b7 \u03c3\u03c9\u03c3\u03c4\u03ae \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7.<\/p>\n<p>\u0397 \u03b5\u03c5\u03b1\u03b9\u03c3\u03b8\u03b7\u03c3\u03af\u03b1 \u03c4\u03b7\u03c2 \u03c1\u03cd\u03b8\u03bc\u03b9\u03c3\u03b7\u03c2 \u03c6\u03b1\u03af\u03bd\u03b5\u03c4\u03b1\u03b9 \u03c3\u03c4\u03b1 \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03ad\u03c3\u03bc\u03b1\u03c4\u03b1. \u039c\u03b5 \u03b1=0,20 \u03b1\u03bd\u03b1\u03ba\u03c4\u03ae\u03b8\u03b7\u03ba\u03b1\u03bd \u03ba\u03b1\u03c4\u03ac \u03bc\u03ad\u03c3\u03bf \u03cc\u03c1\u03bf 3,4 \u03ad\u03b3\u03b3\u03c1\u03b1\u03c6\u03b1. \u039c\u03b5 \u03b1=0,35 \u03bf \u03bc\u03ad\u03c3\u03bf\u03c2 \u03cc\u03c1\u03bf\u03c2 \u03ad\u03c0\u03b5\u03c3\u03b5 \u03c3\u03c4\u03b1 2,4, \u03b5\u03bd\u03ce \u03bc\u03b5 \u03b1=0,05 \u03b1\u03bd\u03ad\u03b2\u03b7\u03ba\u03b5 \u03c3\u03c4\u03b1 4,8. \u0397 \u03c4\u03b5\u03bb\u03b5\u03c5\u03c4\u03b1\u03af\u03b1 \u03c1\u03cd\u03b8\u03bc\u03b9\u03c3\u03b7 \u03b1\u03bd\u03c4\u03b9\u03c3\u03c4\u03bf\u03b9\u03c7\u03b5\u03af \u03c3\u03b5 \u03c3\u03c4\u03cc\u03c7\u03bf \u03bf\u03c1\u03b9\u03b1\u03ba\u03ae\u03c2 \u03ba\u03ac\u03bb\u03c5\u03c8\u03b7\u03c2 95%, \u03b1\u03bb\u03bb\u03ac \u03c3\u03c4\u03bf \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03bf \u03c0\u03b5\u03af\u03c1\u03b1\u03bc\u03b1 \u03b7 \u03b5\u03c0\u03b9\u03c0\u03bb\u03ad\u03bf\u03bd \u03c0\u03bb\u03b7\u03c1\u03bf\u03c6\u03bf\u03c1\u03af\u03b1 \u03ad\u03b2\u03bb\u03b1\u03c8\u03b5 \u03c3\u03bf\u03b2\u03b1\u03c1\u03ac \u03c4\u03b9\u03c2 multi-hop \u03b5\u03c0\u03b9\u03b4\u03cc\u03c3\u03b5\u03b9\u03c2. \u03a0\u03b5\u03c1\u03b9\u03c3\u03c3\u03cc\u03c4\u03b5\u03c1\u03b7 \u03ba\u03ac\u03bb\u03c5\u03c8\u03b7 \u03b4\u03b5\u03bd \u03c3\u03ae\u03bc\u03b1\u03b9\u03bd\u03b5 \u03b1\u03c5\u03c4\u03cc\u03bc\u03b1\u03c4\u03b1 \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03b7 \u03bb\u03bf\u03b3\u03b9\u03ba\u03ae \u03b5\u03c0\u03b5\u03be\u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1.<\/p>\n<h2 id=\"aci-policy-weighting\">ACI: \u03c4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03b4\u03b5\u03bd \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b5\u03c0\u03b9\u03b2\u03c1\u03b1\u03b2\u03b5\u03cd\u03b5\u03c4\u03b1\u03b9 \u03b3\u03b9\u03b1 \u03ad\u03bd\u03b1 \u03c4\u03c5\u03c7\u03b5\u03c1\u03cc guess<\/h2>\n<p>\u0397 \u03b4\u03b5\u03cd\u03c4\u03b5\u03c1\u03b7 \u03c0\u03bb\u03b5\u03c5\u03c1\u03ac \u03c4\u03bf\u03c5 CAS \u03b1\u03c6\u03bf\u03c1\u03ac \u03c4\u03b7\u03bd \u03b5\u03ba\u03c0\u03b1\u03af\u03b4\u03b5\u03c5\u03c3\u03b7. \u039f\u03b9 authors \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03bf\u03cd\u03bd \u03c4\u03bf Negative Log-Likelihood \u03c4\u03c9\u03bd tokens \u03bc\u03ad\u03c3\u03b1 \u03c3\u03c4\u03b7\u03bd \u03c4\u03b5\u03bb\u03b9\u03ba\u03ae \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7 \u03c9\u03c2 score \u03bc\u03b7 \u03c3\u03c5\u03bc\u03bc\u03cc\u03c1\u03c6\u03c9\u03c3\u03b7\u03c2. \u03a4\u03bf ACI \u03c0\u03b1\u03c1\u03b1\u03ba\u03bf\u03bb\u03bf\u03c5\u03b8\u03b5\u03af \u03ad\u03bd\u03b1 \u03ba\u03b9\u03bd\u03bf\u03cd\u03bc\u03b5\u03bd\u03bf calibration window \u03ba\u03b1\u03b9 \u03c0\u03c1\u03bf\u03c3\u03b1\u03c1\u03bc\u03cc\u03b6\u03b5\u03b9 \u03b4\u03c5\u03bd\u03b1\u03bc\u03b9\u03ba\u03ac \u03c4\u03bf \u03ba\u03b1\u03c4\u03ce\u03c6\u03bb\u03b9 \u03ce\u03c3\u03c4\u03b5 \u03b7 \u03c3\u03c5\u03c7\u03bd\u03cc\u03c4\u03b7\u03c4\u03b1 \u03c7\u03b1\u03bc\u03b7\u03bb\u03ae\u03c2 \u03b5\u03bc\u03c0\u03b9\u03c3\u03c4\u03bf\u03c3\u03cd\u03bd\u03b7\u03c2 \u03bd\u03b1 \u03ba\u03b9\u03bd\u03b5\u03af\u03c4\u03b1\u03b9 \u03c0\u03c1\u03bf\u03c2 \u03c4\u03bf\u03bd \u03c3\u03c4\u03cc\u03c7\u03bf. \u0397 \u03bc\u03ad\u03b8\u03bf\u03b4\u03bf\u03c2 \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03b5\u03af \u03b5\u03be\u03bf\u03bc\u03ac\u03bb\u03c5\u03bd\u03c3\u03b7 \u03c4\u03c9\u03bd \u03c0\u03c1\u03cc\u03c3\u03c6\u03b1\u03c4\u03c9\u03bd \u03c3\u03c6\u03b1\u03bb\u03bc\u03ac\u03c4\u03c9\u03bd \u03b5\u03c0\u03b5\u03b9\u03b4\u03ae \u03c4\u03bf RL \u03b4\u03b7\u03bc\u03b9\u03bf\u03c5\u03c1\u03b3\u03b5\u03af \u03bc\u03b7 \u03c3\u03c4\u03b1\u03c4\u03b9\u03ba\u03ae \u03c1\u03bf\u03ae \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03c9\u03bd.<\/p>\n<p>\u039c\u03ad\u03c3\u03b1 \u03c3\u03c4\u03bf GRPO, \u03ba\u03ac\u03b8\u03b5 trajectory \u03ad\u03c7\u03b5\u03b9 \u03c0\u03bb\u03b5\u03bf\u03bd\u03ad\u03ba\u03c4\u03b7\u03bc\u03b1 \u03c0\u03bf\u03c5 \u03c0\u03c1\u03bf\u03ba\u03cd\u03c0\u03c4\u03b5\u03b9 \u03b1\u03c0\u03cc \u03c4\u03b7 \u03c3\u03c7\u03b5\u03c4\u03b9\u03ba\u03ae \u03b1\u03bd\u03c4\u03b1\u03bc\u03bf\u03b9\u03b2\u03ae \u03c4\u03bf\u03c5 \u03c3\u03c4\u03b7\u03bd \u03bf\u03bc\u03ac\u03b4\u03b1. \u0391\u03bd \u03bc\u03b9\u03b1 trajectory \u03c0\u03b5\u03c4\u03cd\u03c7\u03b5\u03b9 \u03c3\u03c9\u03c3\u03c4\u03ae \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7 \u03b1\u03bb\u03bb\u03ac \u03b5\u03bc\u03c6\u03b1\u03bd\u03af\u03b6\u03b5\u03b9 \u03c7\u03b1\u03bc\u03b7\u03bb\u03ae \u03b5\u03bc\u03c0\u03b9\u03c3\u03c4\u03bf\u03c3\u03cd\u03bd\u03b7, \u03c4\u03bf \u03b8\u03b5\u03c4\u03b9\u03ba\u03cc learning signal \u03bc\u03b5\u03b9\u03ce\u03bd\u03b5\u03c4\u03b1\u03b9 \u03bc\u03b5 \u03c3\u03c5\u03bd\u03c4\u03b5\u03bb\u03b5\u03c3\u03c4\u03ae \u03b7=0,5. \u039c\u03b5 \u03ac\u03bb\u03bb\u03b1 \u03bb\u03cc\u03b3\u03b9\u03b1, \u03c4\u03bf \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1 \u03c0\u03c1\u03bf\u03c3\u03c0\u03b1\u03b8\u03b5\u03af \u03bd\u03b1 \u03bc\u03b7\u03bd \u03bc\u03ac\u03b8\u03b5\u03b9 \u03c5\u03c0\u03b5\u03c1\u03b2\u03bf\u03bb\u03b9\u03ba\u03ac \u03b1\u03c0\u03cc \u03ad\u03bd\u03b1 \u03c4\u03c5\u03c7\u03b5\u03c1\u03cc \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1. \u0391\u03bd\u03c4\u03af\u03b8\u03b5\u03c4\u03b1, \u03bc\u03b9\u03b1 \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7 \u03c0\u03bf\u03c5 \u03b5\u03af\u03bd\u03b1\u03b9 \u03bb\u03b1\u03bd\u03b8\u03b1\u03c3\u03bc\u03ad\u03bd\u03b7 \u03b5\u03bd\u03ce \u03c4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03b5\u03bc\u03c6\u03b1\u03bd\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 \u03b2\u03ad\u03b2\u03b1\u03b9\u03bf \u03b4\u03ad\u03c7\u03b5\u03c4\u03b1\u03b9 \u03c4\u03b7\u03bd \u03c0\u03bb\u03ae\u03c1\u03b7 \u03b1\u03c1\u03bd\u03b7\u03c4\u03b9\u03ba\u03ae \u03b5\u03c0\u03af\u03b4\u03c1\u03b1\u03c3\u03b7.<\/p>\n<p>\u0391\u03c5\u03c4\u03cc \u03b5\u03af\u03bd\u03b1\u03b9 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03cc \u03b1\u03c0\u03cc \u03ad\u03bd\u03b1 \u03b1\u03c0\u03bb\u03cc confidence badge \u03c3\u03c4\u03bf interface. \u0397 \u03b5\u03bc\u03c0\u03b9\u03c3\u03c4\u03bf\u03c3\u03cd\u03bd\u03b7 \u03b4\u03b5\u03bd \u03b5\u03bc\u03c6\u03b1\u03bd\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 \u03bc\u03cc\u03bd\u03bf \u03b1\u03c6\u03bf\u03cd \u03bf\u03bb\u03bf\u03ba\u03bb\u03b7\u03c1\u03c9\u03b8\u03b5\u03af \u03b7 \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7. \u0395\u03c0\u03b7\u03c1\u03b5\u03ac\u03b6\u03b5\u03b9 \u03c4\u03bf \u03c0\u03bf\u03b9\u03b1 trajectories \u03b8\u03b1 \u03b4\u03b9\u03b1\u03bc\u03bf\u03c1\u03c6\u03ce\u03c3\u03bf\u03c5\u03bd \u03c4\u03b7\u03bd \u03af\u03b4\u03b9\u03b1 \u03c4\u03b7\u03bd policy. \u0397 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7 \u03c5\u03c0\u03bf\u03c3\u03c4\u03b7\u03c1\u03af\u03b6\u03b5\u03b9 \u03b5\u03c0\u03af\u03c3\u03b7\u03c2 \u03cc\u03c4\u03b9 \u03bf \u03bc\u03b7\u03c7\u03b1\u03bd\u03b9\u03c3\u03bc\u03cc\u03c2 \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03af\u03b6\u03b5\u03b9 \u03b4\u03cd\u03bf \u03b1\u03bd\u03c4\u03af\u03b8\u03b5\u03c4\u03b5\u03c2 \u03b1\u03c3\u03c4\u03bf\u03c7\u03af\u03b5\u03c2: \u03c4\u03b7\u03bd \u03c5\u03c0\u03b5\u03c1\u03b2\u03bf\u03bb\u03b9\u03ba\u03ae \u03b2\u03b5\u03b2\u03b1\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1 \u03c0\u03bf\u03c5 \u03bf\u03b4\u03b7\u03b3\u03b5\u03af \u03c3\u03b5 hallucinations \u03ba\u03b1\u03b9 \u03c4\u03b7\u03bd \u03ac\u03c3\u03ba\u03bf\u03c0\u03b7 \u03b1\u03b2\u03b5\u03b2\u03b1\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1 \u03c0\u03bf\u03c5 \u03bf\u03b4\u03b7\u03b3\u03b5\u03af \u03c3\u03b5 \u03b5\u03c0\u03b1\u03bd\u03b1\u03bb\u03b1\u03bc\u03b2\u03b1\u03bd\u03cc\u03bc\u03b5\u03bd\u03b5\u03c2 \u03b1\u03bd\u03b1\u03b6\u03b7\u03c4\u03ae\u03c3\u03b5\u03b9\u03c2.<\/p>\n<h2 id=\"axiologisi-cas\">\u03a0\u03ce\u03c2 \u03b4\u03bf\u03ba\u03b9\u03bc\u03ac\u03c3\u03c4\u03b7\u03ba\u03b5 \u03c4\u03bf CAS<\/h2>\n<p>\u0397 \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7 \u03ba\u03b1\u03bb\u03cd\u03c0\u03c4\u03b5\u03b9 \u03b5\u03c0\u03c4\u03ac open-domain question answering datasets: NQ, TriviaQA, PopQA, HotpotQA, 2WikiMultiHopQA, MuSiQue \u03ba\u03b1\u03b9 Bamboogle. \u0393\u03b9\u03b1 \u03c4\u03b7\u03bd \u03b5\u03ba\u03c0\u03b1\u03af\u03b4\u03b5\u03c5\u03c3\u03b7 \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03ae\u03b8\u03b7\u03ba\u03b5 \u03bc\u03af\u03b3\u03bc\u03b1 \u03b1\u03c0\u03cc \u03c4\u03b1 training splits \u03c4\u03c9\u03bd NQ \u03ba\u03b1\u03b9 HotpotQA. \u03a4\u03b1 backbones \u03ae\u03c4\u03b1\u03bd Qwen2.5-3B-Instruct \u03ba\u03b1\u03b9 Qwen3-8B, \u03b5\u03bd\u03ce \u03c4\u03bf retrieval \u03b2\u03b1\u03c3\u03af\u03c3\u03c4\u03b7\u03ba\u03b5 \u03c3\u03c4\u03bf\u03bd dense retriever E5 \u03ba\u03b1\u03b9 \u03c3\u03b5 Wikipedia dump \u03c4\u03bf\u03c5 2018.<\/p>\n<p>\u03a4\u03bf \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1 \u03ad\u03c0\u03b1\u03b9\u03c1\u03bd\u03b5 512 prompts \u03b1\u03bd\u03ac training step, \u03b4\u03b7\u03bc\u03b9\u03bf\u03c5\u03c1\u03b3\u03bf\u03cd\u03c3\u03b5 \u03bf\u03bc\u03ac\u03b4\u03b1 \u03c0\u03ad\u03bd\u03c4\u03b5 trajectories \u03b1\u03bd\u03ac prompt \u03ba\u03b1\u03b9 \u03b5\u03c0\u03ad\u03c4\u03c1\u03b5\u03c0\u03b5 \u03ad\u03c9\u03c2 \u03c4\u03ad\u03c3\u03c3\u03b5\u03c1\u03b9\u03c2 \u03b3\u03cd\u03c1\u03bf\u03c5\u03c2 \u03b1\u03bb\u03bb\u03b7\u03bb\u03b5\u03c0\u03af\u03b4\u03c1\u03b1\u03c3\u03b7\u03c2 \u03bc\u03b5 \u03c4\u03b7\u03bd \u03b1\u03bd\u03b1\u03b6\u03ae\u03c4\u03b7\u03c3\u03b7. \u0397 \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7 \u03ad\u03b3\u03b9\u03bd\u03b5 \u03bc\u03b5 Exact Match, \u03ad\u03bd\u03b1 \u03b1\u03c5\u03c3\u03c4\u03b7\u03c1\u03cc metric \u03c0\u03bf\u03c5 \u03bc\u03b5\u03c4\u03c1\u03ac \u03b1\u03bd \u03b7 \u03c4\u03b5\u03bb\u03b9\u03ba\u03ae \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7 \u03c4\u03b1\u03b9\u03c1\u03b9\u03ac\u03b6\u03b5\u03b9 \u03c3\u03c4\u03b7\u03bd \u03b1\u03bd\u03b1\u03bc\u03b5\u03bd\u03cc\u03bc\u03b5\u03bd\u03b7. \u039f\u03b9 baselines \u03c0\u03b5\u03c1\u03b9\u03bb\u03ac\u03bc\u03b2\u03b1\u03bd\u03b1\u03bd direct inference, chain-of-thought, \u03ba\u03bb\u03b1\u03c3\u03b9\u03ba\u03cc RAG, IRCoT, Search-o1, supervised fine-tuning, RL \u03c7\u03c9\u03c1\u03af\u03c2 search, rejection sampling, Search-R1 \u03ba\u03b1\u03b9 Search-R2.<\/p>\n<p>\u039f\u03b9 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03b5\u03c2 \u03c4\u03b5\u03c7\u03bd\u03b9\u03ba\u03ad\u03c2 \u03bb\u03b5\u03c0\u03c4\u03bf\u03bc\u03ad\u03c1\u03b5\u03b9\u03b5\u03c2 \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03af\u03b6\u03bf\u03c5\u03bd \u03ba\u03b1\u03b9 \u03c4\u03b7 \u03b3\u03b5\u03bd\u03af\u03ba\u03b5\u03c5\u03c3\u03b7 \u03c4\u03c9\u03bd \u03c3\u03c5\u03bc\u03c0\u03b5\u03c1\u03b1\u03c3\u03bc\u03ac\u03c4\u03c9\u03bd. \u03a4\u03bf CAS \u03b1\u03be\u03b9\u03bf\u03bb\u03bf\u03b3\u03b5\u03af\u03c4\u03b1\u03b9 \u03c3\u03b5 \u03ad\u03bd\u03b1 \u03b5\u03bb\u03b5\u03b3\u03c7\u03cc\u03bc\u03b5\u03bd\u03bf QA \u03c0\u03b5\u03c1\u03b9\u03b2\u03ac\u03bb\u03bb\u03bf\u03bd \u03bc\u03b5 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03bf retriever, knowledge base, \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03b1 \u03ba\u03b1\u03b9 metric. \u0394\u03b5\u03bd \u03b4\u03bf\u03ba\u03b9\u03bc\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03b5\u03b4\u03ce \u03c3\u03b5 \u03b1\u03bd\u03bf\u03b9\u03c7\u03c4\u03cc web \u03bc\u03b5 \u03bc\u03b5\u03c4\u03b1\u03b2\u03b1\u03bb\u03bb\u03cc\u03bc\u03b5\u03bd\u03b5\u03c2 \u03c3\u03b5\u03bb\u03af\u03b4\u03b5\u03c2, \u03c3\u03b5 proprietary knowledge base, \u03c3\u03b5 <a href=\"https:\/\/twodots.gr\/6-ai-agents-customer-support-gia-epicheiriseis\/\">customer support \u03bc\u03b5 AI agents<\/a> \u03ae \u03c3\u03b5 \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03c3\u03b9\u03b1\u03ba\u03ad\u03c2 \u03b1\u03c0\u03bf\u03c6\u03ac\u03c3\u03b5\u03b9\u03c2 \u03cc\u03c0\u03bf\u03c5 \u03bc\u03b9\u03b1 \u03bc\u03b5\u03c1\u03b9\u03ba\u03ce\u03c2 \u03c3\u03c9\u03c3\u03c4\u03ae \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03ad\u03c7\u03b5\u03b9 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03cc \u03ba\u03cc\u03c3\u03c4\u03bf\u03c2 \u03b1\u03c0\u03cc \u03bc\u03b9\u03b1 \u03b1\u03c0\u03cc\u03bb\u03c5\u03c4\u03b1 \u03bb\u03b1\u03bd\u03b8\u03b1\u03c3\u03bc\u03ad\u03bd\u03b7.<\/p>\n<h2 id=\"sygkriseis-cas\">\u03a4\u03b9 \u03ad\u03b4\u03b5\u03b9\u03be\u03b1\u03bd \u03bf\u03b9 \u03c3\u03c5\u03b3\u03ba\u03c1\u03af\u03c3\u03b5\u03b9\u03c2<\/h2>\n<p>\u03a3\u03c4\u03bf\u03bd Qwen3-8B, \u03c4\u03bf CAS \u03c0\u03ad\u03c4\u03c5\u03c7\u03b5 \u03bc\u03ad\u03c3\u03bf Exact Match 0,464 \u03c3\u03c4\u03b1 \u03b5\u03c0\u03c4\u03ac datasets. \u03a4\u03bf Search-R2 \u03b5\u03af\u03c7\u03b5 0,446 \u03ba\u03b1\u03b9 \u03c4\u03bf Search-R1 0,400. \u03a3\u03c4\u03bf\u03bd Qwen2.5-3B-Instruct, \u03c4\u03bf CAS \u03ad\u03c6\u03c4\u03b1\u03c3\u03b5 0,401 \u03ad\u03bd\u03b1\u03bd\u03c4\u03b9 0,336 \u03c4\u03bf\u03c5 Search-R1. \u0397 \u03b1\u03c0\u03cc\u03bb\u03c5\u03c4\u03b7 \u03b2\u03b5\u03bb\u03c4\u03af\u03c9\u03c3\u03b7 \u03c3\u03c4\u03bf\u03bd \u03bc\u03b9\u03ba\u03c1\u03cc\u03c4\u03b5\u03c1\u03bf backbone \u03ae\u03c4\u03b1\u03bd 0,065 \u03c3\u03c5\u03bd\u03bf\u03bb\u03b9\u03ba\u03ac, \u03bc\u03b5 0,047 \u03c3\u03c4\u03bf general QA \u03ba\u03b1\u03b9 0,079 \u03c3\u03c4\u03bf multi-hop QA.<\/p>\n<p>\u03a3\u03c4\u03bf\u03bd 8B backbone, \u03b7 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03ac \u03b1\u03c0\u03cc \u03c4\u03bf Search-R1 \u03ae\u03c4\u03b1\u03bd 0,064 \u03c3\u03c5\u03bd\u03bf\u03bb\u03b9\u03ba\u03ac \u03ba\u03b1\u03b9 0,078 \u03c3\u03c4\u03bf multi-hop QA. \u0391\u03c0\u03ad\u03bd\u03b1\u03bd\u03c4\u03b9 \u03c3\u03c4\u03bf \u03b9\u03c3\u03c7\u03c5\u03c1\u03cc\u03c4\u03b5\u03c1\u03bf Search-R2, \u03b7 \u03c3\u03c5\u03bd\u03bf\u03bb\u03b9\u03ba\u03ae \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03ac \u03ae\u03c4\u03b1\u03bd 0,018, \u03b5\u03bd\u03ce \u03c3\u03c4\u03bf multi-hop QA \u03ae\u03c4\u03b1\u03bd 0,032. \u03a3\u03c4\u03bf general QA \u03b7 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03ac \u03b1\u03c0\u03cc \u03c4\u03bf Search-R2 \u03ae\u03c4\u03b1\u03bd \u03bc\u03cc\u03bb\u03b9\u03c2 0,001. \u0386\u03c1\u03b1 \u03c4\u03bf \u03b9\u03c3\u03c7\u03c5\u03c1\u03cc\u03c4\u03b5\u03c1\u03bf \u03c3\u03ae\u03bc\u03b1 \u03c4\u03bf\u03c5 paper \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03bc\u03b9\u03b1 \u03bf\u03bc\u03bf\u03b9\u03cc\u03bc\u03bf\u03c1\u03c6\u03b7 \u03c5\u03c0\u03b5\u03c1\u03bf\u03c7\u03ae \u03c3\u03b5 \u03ba\u03ac\u03b8\u03b5 \u03ba\u03b1\u03c4\u03b7\u03b3\u03bf\u03c1\u03af\u03b1, \u03b1\u03bb\u03bb\u03ac \u03b7 \u03b2\u03b5\u03bb\u03c4\u03af\u03c9\u03c3\u03b7 \u03c3\u03c4\u03b1 \u03c0\u03b9\u03bf \u03c3\u03cd\u03bd\u03b8\u03b5\u03c4\u03b1 multi-step \u03b5\u03c1\u03c9\u03c4\u03ae\u03bc\u03b1\u03c4\u03b1.<\/p>\n<p>\u03a4\u03bf ablation \u03b5\u03bd\u03b9\u03c3\u03c7\u03cd\u03b5\u03b9 \u03c4\u03bf\u03bd \u03b9\u03c3\u03c7\u03c5\u03c1\u03b9\u03c3\u03bc\u03cc \u03cc\u03c4\u03b9 \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03ba\u03b1\u03b9 \u03bf\u03b9 \u03b4\u03cd\u03bf \u03bc\u03b7\u03c7\u03b1\u03bd\u03b9\u03c3\u03bc\u03bf\u03af. \u03a3\u03c4\u03bf\u03bd 3B backbone, \u03b7 \u03c0\u03bb\u03ae\u03c1\u03b7\u03c2 \u03bc\u03ad\u03b8\u03bf\u03b4\u03bf\u03c2 \u03b5\u03af\u03c7\u03b5 0,401. \u03a7\u03c9\u03c1\u03af\u03c2 ACI \u03ad\u03c0\u03b5\u03c3\u03b5 \u03c3\u03c4\u03bf 0,384 \u03ba\u03b1\u03b9 \u03c7\u03c9\u03c1\u03af\u03c2 APS \u03c3\u03c4\u03bf 0,389. \u03a3\u03cd\u03bc\u03c6\u03c9\u03bd\u03b1 \u03bc\u03b5 \u03c4\u03b7\u03bd \u03b1\u03bd\u03ac\u03bb\u03c5\u03c3\u03b7 \u03c4\u03c9\u03bd authors, \u03b7 \u03b1\u03c6\u03b1\u03af\u03c1\u03b5\u03c3\u03b7 \u03c4\u03bf\u03c5 ACI \u03c3\u03c5\u03bd\u03b4\u03ad\u03b8\u03b7\u03ba\u03b5 \u03bc\u03b5 \u03c0\u03b5\u03c1\u03b9\u03c3\u03c3\u03cc\u03c4\u03b5\u03c1\u03b5\u03c2 \u03ba\u03b1\u03b9 \u03c0\u03b9\u03bf \u03b1\u03c3\u03c4\u03b1\u03b8\u03b5\u03af\u03c2 \u03ba\u03bb\u03ae\u03c3\u03b5\u03b9\u03c2 \u03b5\u03c1\u03b3\u03b1\u03bb\u03b5\u03af\u03c9\u03bd, \u03b5\u03bd\u03ce \u03b7 \u03b1\u03c6\u03b1\u03af\u03c1\u03b5\u03c3\u03b7 \u03c4\u03bf\u03c5 APS \u03b5\u03c0\u03b1\u03bd\u03ad\u03c6\u03b5\u03c1\u03b5 fixed top-3 context \u03ba\u03b1\u03b9 \u03b1\u03cd\u03be\u03b7\u03c3\u03b5 \u03b5\u03af\u03c4\u03b5 \u03c4\u03bf\u03bd \u03b8\u03cc\u03c1\u03c5\u03b2\u03bf \u03b5\u03af\u03c4\u03b5 \u03c4\u03b7\u03bd \u03ad\u03bb\u03bb\u03b5\u03b9\u03c8\u03b7 \u03c3\u03c4\u03bf\u03b9\u03c7\u03b5\u03af\u03c9\u03bd.<\/p>\n<div class=\"td-chart td-chart--metrics\">\n<div class=\"td-chart-head\">\n<p class=\"td-chart-title\">\u03a4\u03ad\u03c3\u03c3\u03b5\u03c1\u03b1 \u03b5\u03c0\u03b1\u03bb\u03b7\u03b8\u03b5\u03c5\u03bc\u03ad\u03bd\u03b1 \u03bc\u03b5\u03b3\u03ad\u03b8\u03b7 \u03c4\u03bf\u03c5 CAS<\/p>\n<p class=\"td-chart-subtitle\">\u039f\u03b9 \u03c4\u03b9\u03bc\u03ad\u03c2 \u03c0\u03c1\u03bf\u03ad\u03c1\u03c7\u03bf\u03bd\u03c4\u03b1\u03b9 \u03b1\u03c0\u03cc \u03b5\u03bb\u03b5\u03b3\u03c7\u03cc\u03bc\u03b5\u03bd\u03b1 open-domain QA \u03c0\u03b5\u03b9\u03c1\u03ac\u03bc\u03b1\u03c4\u03b1 \u03c4\u03b7\u03c2 \u03c0\u03c1\u03bf\u03b4\u03b7\u03bc\u03bf\u03c3\u03af\u03b5\u03c5\u03c3\u03b7\u03c2\u00b7 \u03b4\u03b5\u03bd \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03bf\u03cd\u03bd \u03c0\u03c1\u03cc\u03b2\u03bb\u03b5\u03c8\u03b7 \u03c0\u03b1\u03c1\u03b1\u03b3\u03c9\u03b3\u03b9\u03ba\u03ae\u03c2 \u03b1\u03c0\u03cc\u03b4\u03bf\u03c3\u03b7\u03c2.<\/p>\n<\/div>\n<div class=\"td-chart-body\">\n<div class=\"td-metric-grid\">\n<div class=\"td-metric-card\"><span class=\"td-metric-value\">7 datasets<\/span><span class=\"td-metric-label\">single-hop \u03ba\u03b1\u03b9 multi-hop question answering \u03c3\u03c4\u03b7\u03bd \u03ba\u03bf\u03b9\u03bd\u03ae \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7<\/span><\/div>\n<div class=\"td-metric-card\"><span class=\"td-metric-value\">0,464 EM<\/span><span class=\"td-metric-label\">\u03bc\u03ad\u03c3\u03bf Exact Match \u03c4\u03bf\u03c5 CAS \u03bc\u03b5 Qwen3-8B \u03c3\u03c4\u03b1 \u03b5\u03c0\u03c4\u03ac datasets<\/span><\/div>\n<div class=\"td-metric-card\"><span class=\"td-metric-value\">+0,078<\/span><span class=\"td-metric-label\">\u03b1\u03c0\u03cc\u03bb\u03c5\u03c4\u03b7 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03ac \u03ad\u03bd\u03b1\u03bd\u03c4\u03b9 Search-R1 \u03c3\u03c4\u03b1 multi-hop tasks \u03c4\u03bf\u03c5 8B backbone<\/span><\/div>\n<div class=\"td-metric-card\"><span class=\"td-metric-value\">1\u20135 \u03ad\u03b3\u03b3\u03c1\u03b1\u03c6\u03b1<\/span><span class=\"td-metric-label\">\u03c4\u03bf \u03b5\u03c0\u03b9\u03c4\u03c1\u03b5\u03c0\u03cc\u03bc\u03b5\u03bd\u03bf \u03c0\u03c1\u03bf\u03c3\u03b1\u03c1\u03bc\u03bf\u03b6\u03cc\u03bc\u03b5\u03bd\u03bf \u03b5\u03cd\u03c1\u03bf\u03c2 \u03c4\u03bf\u03c5 APS retrieval<\/span><\/div>\n<\/div>\n<\/div>\n<\/div>\n<aside class=\"td-article-note\">\n<p><strong>\u03a4\u03bf 0,464 \u03b5\u03af\u03bd\u03b1\u03b9 Exact Match, \u03cc\u03c7\u03b9 \u03c0\u03bf\u03c3\u03bf\u03c3\u03c4\u03cc \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03c3\u03b9\u03b1\u03ba\u03ae\u03c2 \u03b1\u03be\u03b9\u03bf\u03c0\u03b9\u03c3\u03c4\u03af\u03b1\u03c2.<\/strong> \u0397 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c0\u03c1\u03bf\u03b4\u03b7\u03bc\u03bf\u03c3\u03af\u03b5\u03c5\u03c3\u03b7, \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03b5\u03af \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03b1 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03b1 \u03ba\u03b1\u03b9 Wikipedia \u03c4\u03bf\u03c5 2018. \u0393\u03b9\u03b1 product, support \u03ae e-commerce search \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03bd\u03ad\u03bf corpus, \u03b4\u03b9\u03ba\u03cc \u03bc\u03b1\u03c2 ground truth \u03ba\u03b1\u03b9 \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03bf\u03c2 \u03ad\u03bb\u03b5\u03b3\u03c7\u03bf\u03c2 \u03c4\u03c9\u03bd \u03c3\u03c5\u03bd\u03b5\u03c0\u03b5\u03b9\u03ce\u03bd.<\/p>\n<\/aside>\n<h2 id=\"kalypsi-kai-thoryvos\">\u03a4\u03bf \u03b4\u03cd\u03c3\u03ba\u03bf\u03bb\u03bf trade-off \u03b1\u03bd\u03ac\u03bc\u03b5\u03c3\u03b1 \u03c3\u03c4\u03b7\u03bd \u03ba\u03ac\u03bb\u03c5\u03c8\u03b7 \u03ba\u03b1\u03b9 \u03c4\u03bf\u03bd \u03b8\u03cc\u03c1\u03c5\u03b2\u03bf<\/h2>\n<p>\u0388\u03bd\u03b1 \u03b1\u03c0\u03cc \u03c4\u03b1 \u03c0\u03b9\u03bf \u03c7\u03c1\u03ae\u03c3\u03b9\u03bc\u03b1 \u03b5\u03c5\u03c1\u03ae\u03bc\u03b1\u03c4\u03b1 \u03b3\u03b9\u03b1 \u03bf\u03bc\u03ac\u03b4\u03b5\u03c2 \u03c0\u03c1\u03bf\u03ca\u03cc\u03bd\u03c4\u03bf\u03c2 \u03b5\u03af\u03bd\u03b1\u03b9 \u03cc\u03c4\u03b9 \u03b7 \u00ab\u03b1\u03c3\u03c6\u03b1\u03bb\u03ad\u03c3\u03c4\u03b5\u03c1\u03b7\u00bb \u03c1\u03cd\u03b8\u03bc\u03b9\u03c3\u03b7 \u03b4\u03b5\u03bd \u03ae\u03c4\u03b1\u03bd \u03b7 \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03b7 \u03c0\u03b1\u03bd\u03c4\u03bf\u03cd. \u039c\u03b5 \u03b1 APS \u03af\u03c3\u03bf \u03bc\u03b5 0,05, \u03c4\u03bf \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1 \u03c3\u03c4\u03cc\u03c7\u03b5\u03c5\u03b5 \u03c3\u03b5 95% \u03bf\u03c1\u03b9\u03b1\u03ba\u03ae \u03ba\u03ac\u03bb\u03c5\u03c8\u03b7 \u03ba\u03b1\u03b9 \u03b1\u03bd\u03b1\u03ba\u03c4\u03bf\u03cd\u03c3\u03b5 4,8 \u03ad\u03b3\u03b3\u03c1\u03b1\u03c6\u03b1 \u03ba\u03b1\u03c4\u03ac \u03bc\u03ad\u03c3\u03bf \u03cc\u03c1\u03bf. \u03a4\u03bf general QA \u03b2\u03b5\u03bb\u03c4\u03b9\u03ce\u03b8\u03b7\u03ba\u03b5 \u03b5\u03bb\u03b1\u03c6\u03c1\u03ac \u03c3\u03b5 \u03c3\u03c7\u03ad\u03c3\u03b7 \u03bc\u03b5 \u03c4\u03bf default, \u03b1\u03bb\u03bb\u03ac \u03c4\u03bf multi-hop QA \u03ad\u03c0\u03b5\u03c3\u03b5 \u03b1\u03c0\u03cc 0,328 \u03c3\u03b5 0,234. \u03a4\u03bf \u03c0\u03c1\u03cc\u03c3\u03b8\u03b5\u03c4\u03bf context \u03c0\u03b5\u03c1\u03b9\u03b5\u03af\u03c7\u03b5 \u03b8\u03cc\u03c1\u03c5\u03b2\u03bf \u03c0\u03bf\u03c5 \u03b4\u03c5\u03c3\u03ba\u03cc\u03bb\u03b5\u03c5\u03b5 \u03c4\u03b7 \u03c3\u03cd\u03bd\u03b8\u03b5\u03c4\u03b7 \u03c3\u03c5\u03bb\u03bb\u03bf\u03b3\u03b9\u03c3\u03c4\u03b9\u03ba\u03ae.<\/p>\n<p>\u0391\u03c0\u03cc \u03c4\u03b7\u03bd \u03ac\u03bb\u03bb\u03b7, \u03b7 \u03b5\u03c0\u03b9\u03b8\u03b5\u03c4\u03b9\u03ba\u03ae \u03c0\u03b5\u03c1\u03b9\u03ba\u03bf\u03c0\u03ae \u03bc\u03b5 \u03b1=0,35 \u03ad\u03b4\u03b9\u03bd\u03b5 2,4 \u03ad\u03b3\u03b3\u03c1\u03b1\u03c6\u03b1 \u03ba\u03b1\u03c4\u03ac \u03bc\u03ad\u03c3\u03bf \u03cc\u03c1\u03bf \u03ba\u03b1\u03b9 \u03c3\u03c5\u03bd\u03bf\u03bb\u03b9\u03ba\u03cc score 0,372. \u0394\u03b5\u03bd \u03c5\u03c0\u03ae\u03c1\u03c7\u03b5 \u03b1\u03c1\u03ba\u03b5\u03c4\u03ae \u03c5\u03c0\u03bf\u03c3\u03c4\u03ae\u03c1\u03b9\u03be\u03b7 \u03b3\u03b9\u03b1 \u03bf\u03c1\u03b9\u03c3\u03bc\u03ad\u03bd\u03b1 \u03b5\u03c1\u03c9\u03c4\u03ae\u03bc\u03b1\u03c4\u03b1. \u03a4\u03bf default \u03b1=0,20, \u03bc\u03b5 3,4 \u03ad\u03b3\u03b3\u03c1\u03b1\u03c6\u03b1, \u03ad\u03b4\u03c9\u03c3\u03b5 \u03c4\u03bf \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03bf \u03c3\u03c5\u03bd\u03bf\u03bb\u03b9\u03ba\u03cc \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1 0,401 \u03c3\u03c4\u03bf \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03bf sensitivity test.<\/p>\n<p>\u03a0\u03b1\u03c1\u03cc\u03bc\u03bf\u03b9\u03bf trade-off \u03c5\u03c0\u03ae\u03c1\u03c7\u03b5 \u03c3\u03c4\u03bf ACI. \u03a3\u03c4\u03cc\u03c7\u03bf\u03c2 \u03c1=0,4 \u03c7\u03b1\u03c1\u03b1\u03ba\u03c4\u03ae\u03c1\u03b9\u03b6\u03b5 \u03c0\u03b5\u03c1\u03af\u03c0\u03bf\u03c5 40% \u03c4\u03c9\u03bd trajectories \u03c9\u03c2 \u03c7\u03b1\u03bc\u03b7\u03bb\u03ae\u03c2 \u03b5\u03bc\u03c0\u03b9\u03c3\u03c4\u03bf\u03c3\u03cd\u03bd\u03b7\u03c2 \u03ba\u03b1\u03b9 \u03b1\u03c0\u03bf\u03b4\u03c5\u03bd\u03ac\u03bc\u03c9\u03bd\u03b5 \u03c5\u03c0\u03b5\u03c1\u03b2\u03bf\u03bb\u03b9\u03ba\u03ac \u03c4\u03bf learning signal. \u03a3\u03c4\u03cc\u03c7\u03bf\u03c2 \u03c1=0,1 \u03b5\u03c0\u03b7\u03c1\u03ad\u03b1\u03b6\u03b5 \u03bc\u03cc\u03bd\u03bf \u03c0\u03b5\u03c1\u03af\u03c0\u03bf\u03c5 10% \u03ba\u03b1\u03b9 \u03b4\u03b5\u03bd \u03c0\u03b1\u03c1\u03b5\u03af\u03c7\u03b5 \u03b1\u03c1\u03ba\u03b5\u03c4\u03ae \u03ba\u03b1\u03b8\u03bf\u03b4\u03ae\u03b3\u03b7\u03c3\u03b7. \u0397 \u03bc\u03b5\u03c3\u03b1\u03af\u03b1 \u03c1\u03cd\u03b8\u03bc\u03b9\u03c3\u03b7 0,25 \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03ae\u03b8\u03b7\u03ba\u03b5 \u03c9\u03c2 default. \u0393\u03b9\u03b1 \u03bc\u03b9\u03b1 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae \u03b5\u03c0\u03b9\u03c7\u03b5\u03af\u03c1\u03b7\u03c3\u03b7, \u03c4\u03bf \u03bc\u03ac\u03b8\u03b7\u03bc\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03cc\u03c4\u03b9 \u03bf\u03b9 \u03c0\u03b1\u03c1\u03ac\u03bc\u03b5\u03c4\u03c1\u03bf\u03b9 \u03b1\u03be\u03b9\u03bf\u03c0\u03b9\u03c3\u03c4\u03af\u03b1\u03c2 \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 validation \u03c3\u03c4\u03bf \u03b4\u03b9\u03ba\u03cc \u03c4\u03b7\u03c2 workload, \u03cc\u03c7\u03b9 \u03b1\u03bd\u03c4\u03b9\u03b3\u03c1\u03b1\u03c6\u03ae \u03b1\u03c0\u03cc \u03ad\u03bd\u03b1 paper.<\/p>\n<div class=\"td-comparison td-comparison-cards td-comparison-cards--horizontal\">\n<div class=\"td-comparison-grid td-comparison-grid--three\">\n<div class=\"td-platform-card\">\n<p class=\"td-comparison-title\">Fixed Top-K<\/p>\n<p>\u03a3\u03c4\u03b1\u03b8\u03b5\u03c1\u03cc \u03c0\u03bb\u03ae\u03b8\u03bf\u03c2 chunks \u03ba\u03b1\u03b9 \u03c0\u03c1\u03bf\u03b2\u03bb\u03ad\u03c8\u03b9\u03bc\u03bf budget, \u03b1\u03bb\u03bb\u03ac \u03af\u03b4\u03b9\u03bf context \u03b3\u03b9\u03b1 \u03b5\u03cd\u03ba\u03bf\u03bb\u03b1 \u03ba\u03b1\u03b9 \u03c3\u03cd\u03bd\u03b8\u03b5\u03c4\u03b1 queries. \u039c\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03ba\u03cc\u03c8\u03b5\u03b9 evidence \u03ae \u03bd\u03b1 \u03b5\u03b9\u03c3\u03b1\u03b3\u03ac\u03b3\u03b5\u03b9 \u03b8\u03cc\u03c1\u03c5\u03b2\u03bf.<\/p>\n<div class=\"td-badge-row\"><span class=\"td-badge\">Simple baseline<\/span><span class=\"td-badge\">Static context<\/span><\/div>\n<\/div>\n<div class=\"td-platform-card td-platform-card--navy\">\n<p class=\"td-comparison-title\">APS retrieval<\/p>\n<p>\u03a0\u03c1\u03bf\u03c3\u03b1\u03c1\u03bc\u03cc\u03b6\u03b5\u03b9 \u03c4\u03bf \u03bc\u03ad\u03b3\u03b5\u03b8\u03bf\u03c2 \u03c4\u03bf\u03c5 prediction set \u03c3\u03c4\u03b1 retrieval scores \u03ba\u03b1\u03b9 \u03c3\u03b5 calibrated threshold. \u0398\u03ad\u03bb\u03b5\u03b9 \u03b1\u03be\u03b9\u03cc\u03c0\u03b9\u03c3\u03c4\u03bf relevance ground truth \u03ba\u03b1\u03b9 \u03b5\u03c0\u03b1\u03bd\u03b1\u03b2\u03b1\u03b8\u03bc\u03bf\u03bd\u03cc\u03bc\u03b7\u03c3\u03b7.<\/p>\n<div class=\"td-badge-row\"><span class=\"td-badge\">Adaptive evidence<\/span><span class=\"td-badge\">Coverage target<\/span><\/div>\n<\/div>\n<div class=\"td-platform-card\">\n<p class=\"td-comparison-title\">ACI training<\/p>\n<p>\u039c\u03b5\u03c4\u03b1\u03b2\u03ac\u03bb\u03bb\u03b5\u03b9 \u03c4\u03bf \u03b2\u03ac\u03c1\u03bf\u03c2 \u03c7\u03b1\u03bc\u03b7\u03bb\u03ae\u03c2 \u03b5\u03bc\u03c0\u03b9\u03c3\u03c4\u03bf\u03c3\u03cd\u03bd\u03b7\u03c2 trajectories \u03bc\u03ad\u03c3\u03b1 \u03c3\u03c4\u03bf GRPO. \u0394\u03b5\u03bd \u03b1\u03c0\u03bf\u03b4\u03b5\u03b9\u03ba\u03bd\u03cd\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03c4\u03bf reasoning path \u03ae \u03ba\u03ac\u03b8\u03b5 \u03c4\u03b5\u03bb\u03b9\u03ba\u03ae \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c3\u03c9\u03c3\u03c4\u03ac.<\/p>\n<div class=\"td-badge-row\"><span class=\"td-badge\">Policy weighting<\/span><span class=\"td-badge\">Outcome limit<\/span><\/div>\n<\/div>\n<\/div>\n<\/div>\n<h2 id=\"rag-agentic-workflows\">\u03a4\u03b9 \u03c3\u03b7\u03bc\u03b1\u03af\u03bd\u03b5\u03b9 \u03b1\u03c5\u03c4\u03cc \u03b3\u03b9\u03b1 RAG \u03ba\u03b1\u03b9 agentic workflows<\/h2>\n<p>\u0397 \u03c0\u03c1\u03ce\u03c4\u03b7 \u03c0\u03c1\u03b1\u03ba\u03c4\u03b9\u03ba\u03ae \u03c3\u03c5\u03bd\u03ad\u03c0\u03b5\u03b9\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03bd\u03b1 \u03bc\u03b5\u03c4\u03c1\u03ac\u03bc\u03b5 \u03c4\u03b7\u03bd \u03b1\u03bd\u03b1\u03b6\u03ae\u03c4\u03b7\u03c3\u03b7 \u03c9\u03c2 \u03be\u03b5\u03c7\u03c9\u03c1\u03b9\u03c3\u03c4\u03cc \u03c5\u03c0\u03bf\u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1, \u03cc\u03c0\u03c9\u03c2 \u03b4\u03b5\u03af\u03c7\u03bd\u03b5\u03b9 \u03ba\u03b1\u03b9 \u03b7 <a href=\"https:\/\/twodots.gr\/searchauditor-ai-search-agents-apotygchanoun-apantisi\/\">\u03b1\u03bd\u03ac\u03bb\u03c5\u03c3\u03b7 \u03b1\u03c3\u03c4\u03bf\u03c7\u03b9\u03ce\u03bd \u03c4\u03c9\u03bd AI search agents<\/a>. \u0397 \u03c4\u03b5\u03bb\u03b9\u03ba\u03ae \u03b1\u03ba\u03c1\u03af\u03b2\u03b5\u03b9\u03b1 \u03b4\u03b5\u03bd \u03b1\u03c0\u03bf\u03ba\u03b1\u03bb\u03cd\u03c0\u03c4\u03b5\u03b9 \u03b1\u03bd \u03c4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03b2\u03c1\u03ae\u03ba\u03b5 \u03c4\u03b1 \u03c3\u03c9\u03c3\u03c4\u03ac \u03c4\u03b5\u03ba\u03bc\u03ae\u03c1\u03b9\u03b1 \u03bc\u03b5 \u03bc\u03af\u03b1 \u03ba\u03bb\u03ae\u03c3\u03b7, \u03b1\u03bd \u03ad\u03ba\u03b1\u03bd\u03b5 \u03c0\u03bf\u03bb\u03bb\u03ad\u03c2 \u03c0\u03b5\u03c1\u03b9\u03c4\u03c4\u03ad\u03c2 \u03b1\u03bd\u03b1\u03b6\u03b7\u03c4\u03ae\u03c3\u03b5\u03b9\u03c2 \u03ae \u03b1\u03bd \u03ad\u03c6\u03c4\u03b1\u03c3\u03b5 \u03c3\u03c9\u03c3\u03c4\u03ac \u03b1\u03c0\u03cc \u03c4\u03cd\u03c7\u03b7. \u03a7\u03c1\u03b5\u03b9\u03ac\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 <a href=\"https:\/\/twodots.gr\/ai-agents-behavioral-testing\/\">behavioral metrics \u03b3\u03b9\u03b1 AI agents<\/a>: evidence coverage, context size, search-call count \u03ba\u03b1\u03b9 \u03c3\u03c5\u03bc\u03c0\u03b5\u03c1\u03b9\u03c6\u03bf\u03c1\u03ac \u03b1\u03bd\u03ac \u03ba\u03b1\u03c4\u03b7\u03b3\u03bf\u03c1\u03af\u03b1 \u03b4\u03c5\u03c3\u03ba\u03bf\u03bb\u03af\u03b1\u03c2.<\/p>\n<p>\u0397 \u03b4\u03b5\u03cd\u03c4\u03b5\u03c1\u03b7 \u03b5\u03af\u03bd\u03b1\u03b9 \u03bd\u03b1 \u03b4\u03b9\u03b1\u03c7\u03c9\u03c1\u03af\u03b6\u03bf\u03c5\u03bc\u03b5 \u03c4\u03b7\u03bd <a href=\"https:\/\/twodots.gr\/why2speak-exigisi-ai-agent-allazei-apofasi\/\">\u03b1\u03b2\u03b5\u03b2\u03b1\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1 retrieval \u03b1\u03c0\u03cc \u03c4\u03b7\u03bd \u03b1\u03b2\u03b5\u03b2\u03b1\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1 \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7\u03c2<\/a>. \u0388\u03bd\u03b1 \u03b9\u03c3\u03c7\u03c5\u03c1\u03cc document score \u03b4\u03b5\u03bd \u03b5\u03b3\u03b3\u03c5\u03ac\u03c4\u03b1\u03b9 \u03cc\u03c4\u03b9 \u03bf agent \u03c3\u03c5\u03bd\u03ad\u03b8\u03b5\u03c3\u03b5 \u03c3\u03c9\u03c3\u03c4\u03ac \u03c4\u03b1 \u03c3\u03c4\u03bf\u03b9\u03c7\u03b5\u03af\u03b1. \u0391\u03bd\u03c4\u03af\u03c3\u03c4\u03c1\u03bf\u03c6\u03b1, \u03bc\u03b9\u03b1 \u03b3\u03bb\u03c9\u03c3\u03c3\u03b9\u03ba\u03ac \u03ba\u03b1\u03b8\u03b1\u03c1\u03ae \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7 \u03b4\u03b5\u03bd \u03b1\u03c0\u03bf\u03b4\u03b5\u03b9\u03ba\u03bd\u03cd\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03c4\u03bf context \u03c0\u03b5\u03c1\u03b9\u03b5\u03af\u03c7\u03b5 \u03b5\u03c0\u03b1\u03c1\u03ba\u03ae \u03c4\u03b5\u03ba\u03bc\u03b7\u03c1\u03af\u03c9\u03c3\u03b7. \u03a4\u03bf CAS \u03b5\u03af\u03bd\u03b1\u03b9 \u03b5\u03bd\u03b4\u03b9\u03b1\u03c6\u03ad\u03c1\u03bf\u03bd \u03b1\u03ba\u03c1\u03b9\u03b2\u03ce\u03c2 \u03b5\u03c0\u03b5\u03b9\u03b4\u03ae \u03c4\u03bf\u03c0\u03bf\u03b8\u03b5\u03c4\u03b5\u03af \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03cc \u03ad\u03bb\u03b5\u03b3\u03c7\u03bf \u03c0\u03c1\u03b9\u03bd \u03b1\u03c0\u03cc \u03c4\u03bf reasoning \u03ba\u03b1\u03b9 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03cc \u03ad\u03bb\u03b5\u03b3\u03c7\u03bf \u03bc\u03ad\u03c3\u03b1 \u03c3\u03c4\u03b7\u03bd \u03b5\u03ba\u03c0\u03b1\u03af\u03b4\u03b5\u03c5\u03c3\u03b7.<\/p>\n<p>\u0397 \u03c4\u03c1\u03af\u03c4\u03b7 \u03b5\u03af\u03bd\u03b1\u03b9 \u03bd\u03b1 \u03b1\u03bd\u03c4\u03b9\u03bc\u03b5\u03c4\u03c9\u03c0\u03af\u03b6\u03bf\u03c5\u03bc\u03b5 \u03c4\u03bf \u03ba\u03cc\u03c3\u03c4\u03bf\u03c2 \u03b5\u03c1\u03b3\u03b1\u03bb\u03b5\u03af\u03c9\u03bd \u03c9\u03c2 \u03b4\u03b5\u03af\u03ba\u03c4\u03b7 \u03c0\u03bf\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1\u03c2 \u03ba\u03b1\u03b9 \u03cc\u03c7\u03b9 \u03bc\u03cc\u03bd\u03bf \u03c9\u03c2 \u03bb\u03bf\u03b3\u03b1\u03c1\u03b9\u03b1\u03c3\u03bc\u03cc API. \u039c\u03b9\u03b1 \u03c0\u03c4\u03ce\u03c3\u03b7 \u03c3\u03c4\u03b9\u03c2 \u03ba\u03bb\u03ae\u03c3\u03b5\u03b9\u03c2 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03c3\u03b7\u03bc\u03b1\u03af\u03bd\u03b5\u03b9 \u03bc\u03b5\u03b3\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03b7 \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03b5\u03c3\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc\u03c4\u03b7\u03c4\u03b1, \u03b1\u03bb\u03bb\u03ac \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03b5\u03c0\u03af\u03c3\u03b7\u03c2 \u03bd\u03b1 \u03c3\u03b7\u03bc\u03b1\u03af\u03bd\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03c4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03c3\u03c4\u03b1\u03bc\u03ac\u03c4\u03b7\u03c3\u03b5 \u03bd\u03b1 \u03c8\u03ac\u03c7\u03bd\u03b5\u03b9. \u03a3\u03c4\u03bf \u03c0\u03b1\u03c1\u03ac\u03c1\u03c4\u03b7\u03bc\u03b1, \u03bf\u03b9 authors \u03b1\u03bd\u03b1\u03c6\u03ad\u03c1\u03bf\u03c5\u03bd \u03cc\u03c4\u03b9 thinking mode \u03bf\u03b4\u03ae\u03b3\u03b7\u03c3\u03b5 \u03c4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03bd\u03b1 \u03bb\u03cd\u03bd\u03b5\u03b9 \u03c0\u03bf\u03bb\u03bb\u03ad\u03c2 single-hop \u03b5\u03c1\u03c9\u03c4\u03ae\u03c3\u03b5\u03b9\u03c2 \u03b5\u03c3\u03c9\u03c4\u03b5\u03c1\u03b9\u03ba\u03ac \u03ba\u03b1\u03b9 \u03c4\u03b5\u03bb\u03b9\u03ba\u03ac \u03bd\u03b1 \u03c0\u03b1\u03cd\u03b5\u03b9 \u03c4\u03b7\u03bd \u03b5\u03bd\u03b5\u03c1\u03b3\u03ae \u03b1\u03bd\u03b1\u03b6\u03ae\u03c4\u03b7\u03c3\u03b7, \u03ba\u03ac\u03bd\u03bf\u03bd\u03c4\u03b1\u03c2 \u03c4\u03b7\u03bd \u03b5\u03ba\u03c0\u03b1\u03af\u03b4\u03b5\u03c5\u03c3\u03b7 \u03b1\u03ba\u03b1\u03c4\u03ac\u03bb\u03bb\u03b7\u03bb\u03b7 \u03b3\u03b9\u03b1 \u03c4\u03bf\u03bd \u03c3\u03ba\u03bf\u03c0\u03cc \u03c4\u03bf\u03c5 search-integrated task. \u0397 \u03c3\u03c9\u03c3\u03c4\u03ae \u03bc\u03ad\u03c4\u03c1\u03b7\u03c3\u03b7 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03c3\u03c5\u03bd\u03b4\u03ad\u03b5\u03b9 \u03ba\u03bb\u03ae\u03c3\u03b5\u03b9\u03c2, \u03b1\u03ba\u03c1\u03af\u03b2\u03b5\u03b9\u03b1 \u03ba\u03b1\u03b9 \u03c4\u03b5\u03ba\u03bc\u03b7\u03c1\u03af\u03c9\u03c3\u03b7.<\/p>\n<h2 id=\"periorismoi-cas\">\u039f\u03b9 \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03b9\u03c3\u03bc\u03bf\u03af \u03c0\u03bf\u03c5 \u03b4\u03b5\u03bd \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03ba\u03c1\u03c5\u03c6\u03c4\u03bf\u03cd\u03bd<\/h2>\n<p>\u039f\u03b9 authors \u03b1\u03bd\u03b1\u03b3\u03bd\u03c9\u03c1\u03af\u03b6\u03bf\u03c5\u03bd \u03c4\u03c1\u03b5\u03b9\u03c2 \u03b2\u03b1\u03c3\u03b9\u03ba\u03bf\u03cd\u03c2 \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03b9\u03c3\u03bc\u03bf\u03cd\u03c2. \u03a0\u03c1\u03ce\u03c4\u03bf\u03bd, \u03c4\u03b1 \u03c0\u03b5\u03b9\u03c1\u03ac\u03bc\u03b1\u03c4\u03b1 \u03b5\u03c3\u03c4\u03b9\u03ac\u03b6\u03bf\u03c5\u03bd \u03c3\u03b5 \u03b3\u03b5\u03bd\u03b9\u03ba\u03ac open-domain QA tasks. \u0394\u03b5\u03bd \u03ad\u03c7\u03b5\u03b9 \u03b5\u03c0\u03b9\u03b2\u03b5\u03b2\u03b1\u03b9\u03c9\u03b8\u03b5\u03af \u03b7 \u03b5\u03c6\u03b1\u03c1\u03bc\u03bf\u03b3\u03ae \u03c3\u03b5 \u03b5\u03be\u03b5\u03b9\u03b4\u03b9\u03ba\u03b5\u03c5\u03bc\u03ad\u03bd\u03bf\u03c5\u03c2 \u03b5\u03c0\u03b1\u03b3\u03b3\u03b5\u03bb\u03bc\u03b1\u03c4\u03b9\u03ba\u03bf\u03cd\u03c2 \u03c4\u03bf\u03bc\u03b5\u03af\u03c2. \u0388\u03bd\u03b1 \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1 \u03b3\u03b9\u03b1 \u03bd\u03bf\u03bc\u03b9\u03ba\u03ae \u03ad\u03c1\u03b5\u03c5\u03bd\u03b1, \u03b9\u03b1\u03c4\u03c1\u03b9\u03ba\u03ae \u03c4\u03b5\u03ba\u03bc\u03b7\u03c1\u03af\u03c9\u03c3\u03b7, \u03bf\u03b9\u03ba\u03bf\u03bd\u03bf\u03bc\u03b9\u03ba\u03ad\u03c2 \u03b1\u03c0\u03bf\u03c6\u03ac\u03c3\u03b5\u03b9\u03c2 \u03ae enterprise support \u03b8\u03b1 \u03c7\u03c1\u03b5\u03b9\u03b1\u03c3\u03c4\u03b5\u03af \u03bd\u03ad\u03b1 \u03b2\u03b1\u03b8\u03bc\u03bf\u03bd\u03cc\u03bc\u03b7\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7 \u03bc\u03b5 \u03b4\u03b9\u03ba\u03ac \u03c4\u03bf\u03c5 \u03ba\u03c1\u03b9\u03c4\u03ae\u03c1\u03b9\u03b1.<\/p>\n<p>\u0394\u03b5\u03cd\u03c4\u03b5\u03c1\u03bf\u03bd, \u03b7 \u03ba\u03b1\u03c4\u03b1\u03c3\u03ba\u03b5\u03c5\u03ae \u03c4\u03bf\u03c5 APS calibration set \u03b5\u03be\u03b1\u03c1\u03c4\u03ac\u03c4\u03b1\u03b9 \u03b1\u03c0\u03cc \u03b9\u03c3\u03c7\u03c5\u03c1\u03cc \u03b5\u03be\u03c9\u03c4\u03b5\u03c1\u03b9\u03ba\u03cc teacher model. \u03a4\u03bf DeepSeek-V3.2 \u03ba\u03ac\u03bd\u03b5\u03b9 decomposition \u03ba\u03b1\u03b9 \u03bb\u03b5\u03b9\u03c4\u03bf\u03c5\u03c1\u03b3\u03b5\u03af \u03c9\u03c2 relevance judge. \u0391\u03bd \u03bf teacher \u03ba\u03ac\u03bd\u03b5\u03b9 \u03c3\u03c5\u03c3\u03c4\u03b7\u03bc\u03b1\u03c4\u03b9\u03ba\u03ac \u03bb\u03ac\u03b8\u03b7, \u03b1\u03c5\u03c4\u03ac \u03bc\u03c0\u03bf\u03c1\u03bf\u03cd\u03bd \u03bd\u03b1 \u03b5\u03c0\u03b7\u03c1\u03b5\u03ac\u03c3\u03bf\u03c5\u03bd \u03c4\u03bf \u03ba\u03b1\u03c4\u03ce\u03c6\u03bb\u03b9 \u03ba\u03b1\u03b9 \u03c4\u03b7\u03bd \u03ad\u03bd\u03bd\u03bf\u03b9\u03b1 \u03c4\u03bf\u03c5 \u00ab\u03c3\u03c9\u03c3\u03c4\u03bf\u03cd\u00bb \u03b5\u03b3\u03b3\u03c1\u03ac\u03c6\u03bf\u03c5. \u0397 \u03b1\u03c5\u03c4\u03bf\u03bc\u03b1\u03c4\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b7 \u03bb\u03bf\u03b9\u03c0\u03cc\u03bd \u03b4\u03b5\u03bd \u03b1\u03c6\u03b1\u03b9\u03c1\u03b5\u03af \u03c4\u03b7\u03bd \u03b1\u03bd\u03ac\u03b3\u03ba\u03b7 \u03b3\u03b9\u03b1 \u03b1\u03be\u03b9\u03cc\u03c0\u03b9\u03c3\u03c4\u03b7 \u03b4\u03b9\u03b1\u03b4\u03b9\u03ba\u03b1\u03c3\u03af\u03b1 \u03b4\u03b7\u03bc\u03b9\u03bf\u03c5\u03c1\u03b3\u03af\u03b1\u03c2 ground truth.<\/p>\n<p>\u03a4\u03c1\u03af\u03c4\u03bf\u03bd, \u03bf\u03b9 \u03c3\u03c4\u03b1\u03c4\u03b9\u03c3\u03c4\u03b9\u03ba\u03ad\u03c2 \u03b5\u03b3\u03b3\u03c5\u03ae\u03c3\u03b5\u03b9\u03c2 \u03b1\u03c6\u03bf\u03c1\u03bf\u03cd\u03bd \u03ba\u03c5\u03c1\u03af\u03c9\u03c2 \u03c4\u03bf outcome \u03ba\u03b1\u03b9 \u03cc\u03c7\u03b9 \u03c4\u03b1 \u03b5\u03bd\u03b4\u03b9\u03ac\u03bc\u03b5\u03c3\u03b1 \u03b2\u03ae\u03bc\u03b1\u03c4\u03b1 reasoning. \u0388\u03bd\u03b1\u03c2 agent \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03c6\u03c4\u03ac\u03c3\u03b5\u03b9 \u03c3\u03c4\u03b7 \u03c3\u03c9\u03c3\u03c4\u03ae \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7 \u03bc\u03ad\u03c3\u03b1 \u03b1\u03c0\u03cc \u03c0\u03c1\u03bf\u03b2\u03bb\u03b7\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae \u03bb\u03bf\u03b3\u03b9\u03ba\u03ae \u03ae \u03bd\u03b1 \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03ae\u03c3\u03b5\u03b9 \u03b1\u03bd\u03b5\u03c0\u03b1\u03c1\u03ba\u03ce\u03c2 \u03b1\u03b9\u03c4\u03b9\u03bf\u03bb\u03bf\u03b3\u03b7\u03bc\u03ad\u03bd\u03b5\u03c2 \u03b5\u03bd\u03b4\u03b9\u03ac\u03bc\u03b5\u03c3\u03b5\u03c2 \u03c3\u03c5\u03bd\u03b4\u03ad\u03c3\u03b5\u03b9\u03c2. \u03a4\u03bf paper \u03c0\u03c1\u03bf\u03c4\u03b5\u03af\u03bd\u03b5\u03b9 \u03c9\u03c2 \u03b5\u03c0\u03cc\u03bc\u03b5\u03bd\u03bf \u03c0\u03b5\u03b4\u03af\u03bf \u03c4\u03b7\u03bd \u03b5\u03c0\u03b1\u03bb\u03b7\u03b8\u03b5\u03cd\u03c3\u03b9\u03bc\u03b7 \u03b1\u03be\u03b9\u03bf\u03c0\u03b9\u03c3\u03c4\u03af\u03b1 \u03c4\u03b7\u03c2 \u03b4\u03b9\u03b1\u03b4\u03b9\u03ba\u03b1\u03c3\u03af\u03b1\u03c2, \u03cc\u03c7\u03b9 \u03bc\u03cc\u03bd\u03bf \u03c4\u03bf\u03c5 \u03c4\u03b5\u03bb\u03b9\u03ba\u03bf\u03cd \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03ad\u03c3\u03bc\u03b1\u03c4\u03bf\u03c2.<\/p>\n<aside class=\"td-article-note\">\n<p><strong>\u0397 \u03b2\u03b1\u03b8\u03bc\u03bf\u03bd\u03cc\u03bc\u03b7\u03c3\u03b7 \u03b4\u03b5\u03bd \u03b1\u03bd\u03c4\u03b9\u03ba\u03b1\u03b8\u03b9\u03c3\u03c4\u03ac provenance \u03ae process verification.<\/strong> \u03a4\u03bf CAS \u03b5\u03be\u03b1\u03c1\u03c4\u03ac\u03c4\u03b1\u03b9 \u03b1\u03c0\u03cc teacher model \u03b3\u03b9\u03b1 \u03c4\u03bf APS calibration set \u03ba\u03b1\u03b9 \u03b4\u03b5\u03bd \u03b5\u03c0\u03b5\u03ba\u03c4\u03b5\u03af\u03bd\u03b5\u03b9 \u03c4\u03b9\u03c2 \u03b5\u03b3\u03b3\u03c5\u03ae\u03c3\u03b5\u03b9\u03c2 \u03c3\u03c4\u03b1 \u03b5\u03bd\u03b4\u03b9\u03ac\u03bc\u03b5\u03c3\u03b1 reasoning steps. \u03a3\u03b5 \u03c5\u03c8\u03b7\u03bb\u03bf\u03cd \u03c1\u03af\u03c3\u03ba\u03bf\u03c5 workflow \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 source-level citations, logging, \u03b4\u03b9\u03ba\u03b1\u03af\u03c9\u03bc\u03b1 abstention \u03ba\u03b1\u03b9 \u03bf\u03bd\u03bf\u03bc\u03b1\u03c3\u03bc\u03ad\u03bd\u03bf\u03c2 \u03ac\u03bd\u03b8\u03c1\u03c9\u03c0\u03bf\u03c2 approver.<\/p>\n<\/aside>\n<h2 id=\"asfales-pilot-epicheiriseis\">\u0388\u03bd\u03b1 \u03b1\u03c3\u03c6\u03b1\u03bb\u03ad\u03c2 \u03c0\u03bb\u03ac\u03bd\u03bf \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7\u03c2 \u03b3\u03b9\u03b1 \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03ae\u03c3\u03b5\u03b9\u03c2<\/h2>\n<p>\u039c\u03b9\u03b1 \u03bf\u03bc\u03ac\u03b4\u03b1 \u03c0\u03bf\u03c5 \u03b8\u03ad\u03bb\u03b5\u03b9 \u03bd\u03b1 \u03b5\u03be\u03b5\u03c4\u03ac\u03c3\u03b5\u03b9 \u03c0\u03b1\u03c1\u03cc\u03bc\u03bf\u03b9\u03b1 \u03bb\u03bf\u03b3\u03b9\u03ba\u03ae \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03be\u03b5\u03ba\u03b9\u03bd\u03ae\u03c3\u03b5\u03b9 \u03c7\u03c9\u03c1\u03af\u03c2 \u03bd\u03b1 \u03b9\u03c3\u03c7\u03c5\u03c1\u03b9\u03c3\u03c4\u03b5\u03af \u03cc\u03c4\u03b9 \u03ad\u03c7\u03b5\u03b9 \u03ae\u03b4\u03b7 \u00ab\u03bb\u03cd\u03c3\u03b5\u03b9\u00bb \u03c4\u03b7\u03bd \u03b1\u03be\u03b9\u03bf\u03c0\u03b9\u03c3\u03c4\u03af\u03b1. \u03a0\u03c1\u03ce\u03c4\u03b1 \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 dataset \u03b1\u03c0\u03cc \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ac \u03b5\u03c1\u03c9\u03c4\u03ae\u03bc\u03b1\u03c4\u03b1, \u03bc\u03b5 \u03b5\u03bb\u03b5\u03b3\u03bc\u03ad\u03bd\u03b5\u03c2 \u03c0\u03b7\u03b3\u03ad\u03c2 \u03ba\u03b1\u03b9 \u03c3\u03b7\u03bc\u03b5\u03b9\u03c9\u03bc\u03ad\u03bd\u03b1 \u03ad\u03b3\u03b3\u03c1\u03b1\u03c6\u03b1 \u03c0\u03bf\u03c5 \u03b5\u03c0\u03b1\u03c1\u03ba\u03bf\u03cd\u03bd \u03b3\u03b9\u03b1 \u03ba\u03ac\u03b8\u03b5 \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7. \u0388\u03c0\u03b5\u03b9\u03c4\u03b1 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03c7\u03c9\u03c1\u03af\u03c3\u03b5\u03b9 \u03c4\u03b1 queries \u03c3\u03b5 \u03ba\u03b1\u03c4\u03b7\u03b3\u03bf\u03c1\u03af\u03b5\u03c2 \u03b4\u03c5\u03c3\u03ba\u03bf\u03bb\u03af\u03b1\u03c2 \u03ba\u03b1\u03b9 \u03bd\u03b1 \u03c3\u03c5\u03b3\u03ba\u03c1\u03af\u03bd\u03b5\u03b9 fixed Top-K \u03bc\u03b5 \u03c0\u03c1\u03bf\u03c3\u03b1\u03c1\u03bc\u03bf\u03b6\u03cc\u03bc\u03b5\u03bd\u03bf retrieval, \u03ba\u03c1\u03b1\u03c4\u03ce\u03bd\u03c4\u03b1\u03c2 \u03c3\u03c4\u03b1\u03b8\u03b5\u03c1\u03cc \u03c4\u03bf \u03c5\u03c0\u03cc\u03bb\u03bf\u03b9\u03c0\u03bf pipeline.<\/p>\n<p>\u0397 \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03ba\u03b1\u03c4\u03b1\u03b3\u03c1\u03ac\u03c6\u03b5\u03b9 \u03c4\u03bf\u03c5\u03bb\u03ac\u03c7\u03b9\u03c3\u03c4\u03bf\u03bd \u03c4\u03b7\u03bd \u03ba\u03ac\u03bb\u03c5\u03c8\u03b7 \u03c3\u03c9\u03c3\u03c4\u03ce\u03bd \u03c4\u03b5\u03ba\u03bc\u03b7\u03c1\u03af\u03c9\u03bd, \u03c4\u03bf\u03bd \u03b8\u03cc\u03c1\u03c5\u03b2\u03bf \u03c3\u03c4\u03bf context, \u03c4\u03b9\u03c2 \u03ba\u03bb\u03ae\u03c3\u03b5\u03b9\u03c2 \u03b5\u03c1\u03b3\u03b1\u03bb\u03b5\u03af\u03c9\u03bd, \u03c4\u03b7\u03bd \u03c4\u03b5\u03bb\u03b9\u03ba\u03ae \u03b1\u03ba\u03c1\u03af\u03b2\u03b5\u03b9\u03b1 \u03ba\u03b1\u03b9 \u03c4\u03b9\u03c2 \u03c0\u03b5\u03c1\u03b9\u03c0\u03c4\u03ce\u03c3\u03b5\u03b9\u03c2 \u03cc\u03c0\u03bf\u03c5 \u03c4\u03bf \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1 \u03ad\u03c0\u03c1\u03b5\u03c0\u03b5 \u03bd\u03b1 \u03b1\u03c1\u03bd\u03b7\u03b8\u03b5\u03af \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7. \u0393\u03b9\u03b1 e-commerce \u03ae marketing workflows \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03ba\u03b1\u03b9 business-specific \u03b5\u03be\u03ad\u03c4\u03b1\u03c3\u03b7: \u03b1\u03bd \u03b7 \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7 \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03b5\u03af \u03c3\u03c9\u03c3\u03c4\u03cc product data, \u03b1\u03bd \u03b1\u03c0\u03bf\u03c6\u03b5\u03cd\u03b3\u03b5\u03b9 \u03bc\u03b7 \u03b4\u03b9\u03b1\u03b8\u03ad\u03c3\u03b9\u03bc\u03b5\u03c2 \u03c5\u03c0\u03bf\u03c3\u03c7\u03ad\u03c3\u03b5\u03b9\u03c2 \u03ba\u03b1\u03b9 \u03b1\u03bd \u03b4\u03b9\u03b1\u03ba\u03c1\u03af\u03bd\u03b5\u03b9 \u03b5\u03c0\u03b1\u03bb\u03b7\u03b8\u03b5\u03c5\u03bc\u03ad\u03bd\u03b1 facts \u03b1\u03c0\u03cc recommendation.<\/p>\n<p>\u03a4\u03ad\u03bb\u03bf\u03c2, \u03c4\u03bf calibration \u03b4\u03b5\u03bd \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b1\u03bd\u03c4\u03b9\u03bc\u03b5\u03c4\u03c9\u03c0\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c9\u03c2 \u03b5\u03c6\u03ac\u03c0\u03b1\u03be \u03b2\u03ae\u03bc\u03b1. \u03a4\u03b1 \u03c0\u03c1\u03bf\u03ca\u03cc\u03bd\u03c4\u03b1, \u03bf\u03b9 \u03c0\u03bf\u03bb\u03b9\u03c4\u03b9\u03ba\u03ad\u03c2, \u03c4\u03b1 \u03ad\u03b3\u03b3\u03c1\u03b1\u03c6\u03b1 \u03ba\u03b1\u03b9 \u03bf\u03b9 \u03b1\u03bd\u03b1\u03b6\u03b7\u03c4\u03ae\u03c3\u03b5\u03b9\u03c2 \u03b1\u03bb\u03bb\u03ac\u03b6\u03bf\u03c5\u03bd. \u0397 \u03bb\u03bf\u03b3\u03b9\u03ba\u03ae \u03c4\u03bf\u03c5 ACI \u03b5\u03af\u03bd\u03b1\u03b9 \u03c3\u03c7\u03b5\u03c4\u03b9\u03ba\u03ae \u03b5\u03c0\u03b5\u03b9\u03b4\u03ae \u03b1\u03bd\u03b1\u03b3\u03bd\u03c9\u03c1\u03af\u03b6\u03b5\u03b9 \u03c4\u03b7 \u03bc\u03b5\u03c4\u03b1\u03b2\u03bf\u03bb\u03ae \u03c4\u03b7\u03c2 \u03c1\u03bf\u03ae\u03c2. \u0391\u03ba\u03cc\u03bc\u03b7 \u03ba\u03b1\u03b9 \u03c7\u03c9\u03c1\u03af\u03c2 \u03c0\u03bb\u03ae\u03c1\u03b7 \u03c5\u03bb\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b7 \u03c4\u03bf\u03c5 CAS, \u03bc\u03b9\u03b1 \u03b5\u03c0\u03b9\u03c7\u03b5\u03af\u03c1\u03b7\u03c3\u03b7 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03c5\u03b9\u03bf\u03b8\u03b5\u03c4\u03ae\u03c3\u03b5\u03b9 \u03c4\u03b7\u03bd \u03b1\u03c1\u03c7\u03ae: <a href=\"https:\/\/twodots.gr\/consilience-ai-agent-communication-control\/\">\u03c0\u03b1\u03c1\u03b1\u03ba\u03bf\u03bb\u03bf\u03cd\u03b8\u03b7\u03c3\u03b7 drift \u03ba\u03b1\u03b9 uncertainty<\/a>, \u03c0\u03b5\u03c1\u03b9\u03bf\u03b4\u03b9\u03ba\u03ae \u03b5\u03c0\u03b1\u03bd\u03b1\u03b2\u03b1\u03b8\u03bc\u03bf\u03bd\u03cc\u03bc\u03b7\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03c7\u03c9\u03c1\u03b9\u03c3\u03c4\u03cc\u03c2 \u03ad\u03bb\u03b5\u03b3\u03c7\u03bf\u03c2 retrieval \u03ba\u03b1\u03b9 generation.<\/p>\n<div class=\"td-step-list\">\n<p class=\"td-step-list-title\">\u0391\u03c0\u03cc \u03c4\u03bf fixed Top-K \u03c3\u03b5 \u03b5\u03bb\u03b5\u03b3\u03c7\u03cc\u03bc\u03b5\u03bd\u03bf adaptive retrieval pilot<\/p>\n<ol>\n<li><span class=\"td-step-kicker\">Step 1<\/span><strong>\u039f\u03c1\u03af\u03c3\u03c4\u03b5 workload \u03ba\u03b1\u03b9 \u03ba\u03cc\u03c3\u03c4\u03bf\u03c2 \u03bb\u03ac\u03b8\u03bf\u03c5\u03c2<\/strong>\n<p>\u03a7\u03c9\u03c1\u03af\u03c3\u03c4\u03b5 product search, support, research \u03ba\u03b1\u03b9 compliance queries. \u039a\u03b1\u03c4\u03b1\u03b3\u03c1\u03ac\u03c8\u03c4\u03b5 \u03c0\u03cc\u03c4\u03b5 \u03b7 \u03ad\u03bb\u03bb\u03b5\u03b9\u03c8\u03b7 evidence, \u03bf \u03b8\u03cc\u03c1\u03c5\u03b2\u03bf\u03c2 \u03ae \u03bc\u03b9\u03b1 \u03b2\u03ad\u03b2\u03b1\u03b9\u03b7 \u03bb\u03b1\u03bd\u03b8\u03b1\u03c3\u03bc\u03ad\u03bd\u03b7 \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7 \u03ad\u03c7\u03b5\u03b9 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ae \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03c3\u03b9\u03b1\u03ba\u03ae \u03c3\u03c5\u03bd\u03ad\u03c0\u03b5\u03b9\u03b1.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">Step 2<\/span><strong>\u03a7\u03c4\u03af\u03c3\u03c4\u03b5 ground truth \u03c4\u03b5\u03ba\u03bc\u03b7\u03c1\u03af\u03c9\u03bd<\/strong>\n<p>\u03a3\u03c5\u03bd\u03b4\u03ad\u03c3\u03c4\u03b5 \u03b1\u03bd\u03c4\u03b9\u03c0\u03c1\u03bf\u03c3\u03c9\u03c0\u03b5\u03c5\u03c4\u03b9\u03ba\u03ac queries \u03bc\u03b5 \u03c4\u03b1 \u03b5\u03bb\u03ac\u03c7\u03b9\u03c3\u03c4\u03b1 \u03b5\u03c0\u03b1\u03c1\u03ba\u03ae \u03ad\u03b3\u03b3\u03c1\u03b1\u03c6\u03b1, \u03ba\u03c1\u03b1\u03c4\u03ce\u03bd\u03c4\u03b1\u03c2 \u03b5\u03ba\u03b4\u03cc\u03c3\u03b5\u03b9\u03c2, \u03b7\u03bc\u03b5\u03c1\u03bf\u03bc\u03b7\u03bd\u03af\u03b5\u03c2 \u03ba\u03b1\u03b9 \u03b4\u03b9\u03ba\u03b1\u03b9\u03ce\u03bc\u03b1\u03c4\u03b1 \u03c0\u03c1\u03cc\u03c3\u03b2\u03b1\u03c3\u03b7\u03c2. \u0397 \u03b2\u03b1\u03b8\u03bc\u03bf\u03bd\u03cc\u03bc\u03b7\u03c3\u03b7 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c4\u03cc\u03c3\u03bf \u03b1\u03be\u03b9\u03cc\u03c0\u03b9\u03c3\u03c4\u03b7 \u03cc\u03c3\u03bf \u03c4\u03bf relevance set \u03c4\u03b7\u03c2.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">Step 3<\/span><strong>\u039c\u03b5\u03c4\u03c1\u03ae\u03c3\u03c4\u03b5 \u03c0\u03c1\u03ce\u03c4\u03b1 \u03c4\u03bf fixed Top-K baseline<\/strong>\n<p>\u039a\u03c1\u03b1\u03c4\u03ae\u03c3\u03c4\u03b5 \u03c3\u03c4\u03b1\u03b8\u03b5\u03c1\u03cc retriever, model \u03ba\u03b1\u03b9 prompts. \u039c\u03b5\u03c4\u03c1\u03ae\u03c3\u03c4\u03b5 evidence recall, \u03bc\u03b7 \u03c3\u03c7\u03b5\u03c4\u03b9\u03ba\u03cc context, \u03c4\u03b5\u03bb\u03b9\u03ba\u03cc accuracy, search calls, latency \u03ba\u03b1\u03b9 \u03c0\u03b5\u03c1\u03b9\u03c0\u03c4\u03ce\u03c3\u03b5\u03b9\u03c2 \u03cc\u03c0\u03bf\u03c5 \u03c4\u03bf \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1 \u03ad\u03c0\u03c1\u03b5\u03c0\u03b5 \u03bd\u03b1 \u03c3\u03c4\u03b1\u03bc\u03b1\u03c4\u03ae\u03c3\u03b5\u03b9.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">Step 4<\/span><strong>\u0392\u03b1\u03b8\u03bc\u03bf\u03bd\u03bf\u03bc\u03ae\u03c3\u03c4\u03b5 \u03c0\u03c1\u03bf\u03c3\u03b1\u03c1\u03bc\u03bf\u03b6\u03cc\u03bc\u03b5\u03bd\u03bf retrieval<\/strong>\n<p>\u0394\u03bf\u03ba\u03b9\u03bc\u03ac\u03c3\u03c4\u03b5 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03bf\u03cd\u03c2 \u03c3\u03c4\u03cc\u03c7\u03bf\u03c5\u03c2 \u03ba\u03ac\u03bb\u03c5\u03c8\u03b7\u03c2 \u03ba\u03b1\u03b9 \u03cc\u03c1\u03b9\u03b1 context \u03b1\u03bd\u03ac \u03ba\u03b1\u03c4\u03b7\u03b3\u03bf\u03c1\u03af\u03b1 query. \u039c\u03b7\u03bd \u03b1\u03bd\u03c4\u03b9\u03b3\u03c1\u03ac\u03c8\u03b5\u03c4\u03b5 \u03b1=0,20 \u03ae \u03b5\u03cd\u03c1\u03bf\u03c2 1\u20135 \u03c7\u03c9\u03c1\u03af\u03c2 \u03bd\u03b1 \u03b4\u03b5\u03af\u03c4\u03b5 \u03c0\u03ce\u03c2 \u03b1\u03bb\u03bb\u03ac\u03b6\u03bf\u03c5\u03bd \u03c4\u03b1 \u03b4\u03b9\u03ba\u03ac \u03c3\u03b1\u03c2 multi-hop \u03ba\u03b1\u03b9 long-tail cases.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">Step 5<\/span><strong>\u03a7\u03c9\u03c1\u03af\u03c3\u03c4\u03b5 retrieval confidence \u03b1\u03c0\u03cc answer confidence<\/strong>\n<p>\u039a\u03b1\u03c4\u03b1\u03b3\u03c1\u03ac\u03c8\u03c4\u03b5 \u03b1\u03bd \u03c4\u03bf \u03c3\u03c9\u03c3\u03c4\u03cc evidence \u03b2\u03c1\u03ad\u03b8\u03b7\u03ba\u03b5, \u03b1\u03bd \u03c0\u03ad\u03c1\u03b1\u03c3\u03b5 \u03c3\u03c4\u03bf context \u03ba\u03b1\u03b9 \u03b1\u03bd \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03ae\u03b8\u03b7\u03ba\u03b5 \u03c3\u03c9\u03c3\u03c4\u03ac. \u0397 \u03ba\u03b1\u03bb\u03ae \u03b2\u03b1\u03b8\u03bc\u03bf\u03bb\u03bf\u03b3\u03af\u03b1 \u03b5\u03b3\u03b3\u03c1\u03ac\u03c6\u03bf\u03c5 \u03b4\u03b5\u03bd \u03c0\u03b9\u03c3\u03c4\u03bf\u03c0\u03bf\u03b9\u03b5\u03af \u03c4\u03b7 \u03c3\u03cd\u03bd\u03b8\u03b5\u03c3\u03b7 \u03c4\u03b7\u03c2 \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7\u03c2.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">Step 6<\/span><strong>\u0394\u03bf\u03ba\u03b9\u03bc\u03ac\u03c3\u03c4\u03b5 abstention \u03ba\u03b1\u03b9 \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03b7 \u03b4\u03b9\u03b1\u03b4\u03c1\u03bf\u03bc\u03ae<\/strong>\n<p>\u0392\u03ac\u03bb\u03c4\u03b5 adversarial, stale \u03ba\u03b1\u03b9 \u03b5\u03bb\u03bb\u03b9\u03c0\u03ae queries. \u039f agent \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b6\u03b7\u03c4\u03ac \u03b4\u03b9\u03b5\u03c5\u03ba\u03c1\u03af\u03bd\u03b9\u03c3\u03b7 \u03ae \u03ad\u03b3\u03ba\u03c1\u03b9\u03c3\u03b7 \u03cc\u03c4\u03b1\u03bd \u03b7 \u03c4\u03b5\u03ba\u03bc\u03b7\u03c1\u03af\u03c9\u03c3\u03b7 \u03b4\u03b5\u03bd \u03b5\u03c0\u03b1\u03c1\u03ba\u03b5\u03af, \u03cc\u03c7\u03b9 \u03bd\u03b1 \u03b3\u03b5\u03bc\u03af\u03b6\u03b5\u03b9 \u03c4\u03bf \u03ba\u03b5\u03bd\u03cc \u03bc\u03b5 \u03c0\u03b5\u03b9\u03c3\u03c4\u03b9\u03ba\u03ae \u03c0\u03c1\u03cc\u03b6\u03b1.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">Step 7<\/span><strong>\u03a0\u03b1\u03c1\u03b1\u03ba\u03bf\u03bb\u03bf\u03c5\u03b8\u03ae\u03c3\u03c4\u03b5 drift \u03ba\u03b1\u03b9 rollback<\/strong>\n<p>\u0395\u03bb\u03ad\u03b3\u03c7\u03b5\u03c4\u03b5 coverage, noise, calls \u03ba\u03b1\u03b9 failure modes \u03bc\u03b5\u03c4\u03ac \u03b1\u03c0\u03cc \u03b1\u03bb\u03bb\u03b1\u03b3\u03ad\u03c2 \u03c3\u03b5 catalog, corpus, retriever \u03ae model. \u039a\u03c1\u03b1\u03c4\u03ae\u03c3\u03c4\u03b5 versioned thresholds \u03ba\u03b1\u03b9 \u03b3\u03c1\u03ae\u03b3\u03bf\u03c1\u03b7 \u03b5\u03c0\u03b9\u03c3\u03c4\u03c1\u03bf\u03c6\u03ae \u03c3\u03c4\u03bf \u03b1\u03c3\u03c6\u03b1\u03bb\u03ad\u03c2 baseline.<\/p>\n<\/li>\n<\/ol>\n<\/div>\n<div class=\"td-decision-band\">\n<p class=\"td-decision-band-kicker\">\u0391\u03c0\u03cc\u03c6\u03b1\u03c3\u03b7 \u03b1\u03c1\u03c7\u03b9\u03c4\u03b5\u03ba\u03c4\u03bf\u03bd\u03b9\u03ba\u03ae\u03c2<\/p>\n<h3>\u03a4\u03c1\u03af\u03b1 \u03be\u03b5\u03c7\u03c9\u03c1\u03b9\u03c3\u03c4\u03ac controls, \u03cc\u03c7\u03b9 \u03ad\u03bd\u03b1 confidence score<\/h3>\n<p>\u03a7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03ae\u03c3\u03c4\u03b5 retrieval calibration \u03b3\u03b9\u03b1 \u03c4\u03bf evidence set, answer evaluation \u03b3\u03b9\u03b1 \u03c4\u03b7 \u03c3\u03cd\u03bd\u03b8\u03b5\u03c3\u03b7 \u03ba\u03b1\u03b9 governance \u03b3\u03b9\u03b1 provenance, permissions, abstention \u03ba\u03b1\u03b9 \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03b7 \u03ad\u03b3\u03ba\u03c1\u03b9\u03c3\u03b7. \u03a3\u03c5\u03bd\u03b4\u03ad\u03c3\u03c4\u03b5 \u03c4\u03b1 \u03c3\u03b5 \u03ba\u03bf\u03b9\u03bd\u03cc failure log, \u03b1\u03bb\u03bb\u03ac \u03bc\u03b7\u03bd \u03c4\u03b1 \u03c3\u03c5\u03bc\u03c0\u03c4\u03cd\u03c3\u03c3\u03b5\u03c4\u03b5 \u03c3\u03b5 \u03ad\u03bd\u03b1\u03bd \u03b1\u03c1\u03b9\u03b8\u03bc\u03cc \u03c0\u03bf\u03c5 \u03ba\u03c1\u03cd\u03b2\u03b5\u03b9 \u03c0\u03bf\u03cd \u03b3\u03b5\u03bd\u03bd\u03ae\u03b8\u03b7\u03ba\u03b5 \u03c4\u03bf \u03bb\u03ac\u03b8\u03bf\u03c2.<\/p>\n<\/div>\n<h2 id=\"symperasma-ai-search-agents\">\u0391\u03c0\u03cc \u03c4\u03bf \u00ab\u03b2\u03c1\u03ae\u03ba\u03b5 \u03ba\u03ac\u03c4\u03b9\u00bb \u03c3\u03c4\u03bf \u00ab\u03b2\u03c1\u03ae\u03ba\u03b5 \u03b1\u03c1\u03ba\u03b5\u03c4\u03ac \u03ba\u03b1\u03b9 \u03b1\u03be\u03b9\u03cc\u03c0\u03b9\u03c3\u03c4\u03b1\u00bb<\/h2>\n<p>\u03a4\u03bf CAS \u03bc\u03b5\u03c4\u03b1\u03ba\u03b9\u03bd\u03b5\u03af \u03c4\u03b7 \u03c3\u03c5\u03b6\u03ae\u03c4\u03b7\u03c3\u03b7 \u03b1\u03c0\u03cc \u03c4\u03bf \u03c0\u03cc\u03c3\u03bf \u03c3\u03c5\u03c7\u03bd\u03ac \u03ad\u03bd\u03b1\u03c2 agent \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03b5\u03af search \u03c0\u03c1\u03bf\u03c2 \u03c4\u03bf \u03b1\u03bd \u03b7 \u03c0\u03bf\u03c3\u03cc\u03c4\u03b7\u03c4\u03b1 \u03ba\u03b1\u03b9 \u03b7 \u03c0\u03bf\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1 \u03c4\u03b7\u03c2 \u03b1\u03bd\u03b1\u03b6\u03ae\u03c4\u03b7\u03c3\u03b7\u03c2 \u03b5\u03af\u03bd\u03b1\u03b9 \u03ba\u03b1\u03c4\u03ac\u03bb\u03bb\u03b7\u03bb\u03b5\u03c2 \u03b3\u03b9\u03b1 \u03c4\u03bf \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03bf query. \u03a4\u03b1 \u03c0\u03b5\u03b9\u03c1\u03ac\u03bc\u03b1\u03c4\u03b1 \u03b4\u03b5\u03af\u03c7\u03bd\u03bf\u03c5\u03bd \u03b2\u03b5\u03bb\u03c4\u03b9\u03ce\u03c3\u03b5\u03b9\u03c2 \u03c3\u03b5 \u03b5\u03c0\u03c4\u03ac QA datasets \u03ba\u03b1\u03b9 \u03c0\u03b9\u03bf \u03ba\u03b1\u03b8\u03b1\u03c1\u03cc \u03cc\u03c6\u03b5\u03bb\u03bf\u03c2 \u03c3\u03c4\u03b1 multi-hop tasks. \u0394\u03b5\u03af\u03c7\u03bd\u03bf\u03c5\u03bd \u03b5\u03c0\u03af\u03c3\u03b7\u03c2 \u03cc\u03c4\u03b9 \u03b7 \u03c5\u03c0\u03b5\u03c1\u03b2\u03bf\u03bb\u03b9\u03ba\u03ae \u03ba\u03ac\u03bb\u03c5\u03c8\u03b7 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03bc\u03b5\u03c4\u03b1\u03c4\u03c1\u03b1\u03c0\u03b5\u03af \u03c3\u03b5 \u03b8\u03cc\u03c1\u03c5\u03b2\u03bf \u03ba\u03b1\u03b9 \u03cc\u03c4\u03b9 \u03b7 \u03c5\u03c0\u03b5\u03c1\u03b2\u03bf\u03bb\u03b9\u03ba\u03ae \u03c4\u03b9\u03bc\u03c9\u03c1\u03af\u03b1 \u03c7\u03b1\u03bc\u03b7\u03bb\u03ae\u03c2 \u03b5\u03bc\u03c0\u03b9\u03c3\u03c4\u03bf\u03c3\u03cd\u03bd\u03b7\u03c2 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b1\u03c0\u03bf\u03b4\u03c5\u03bd\u03b1\u03bc\u03ce\u03c3\u03b5\u03b9 \u03c4\u03b7\u03bd \u03b5\u03ba\u03c0\u03b1\u03af\u03b4\u03b5\u03c5\u03c3\u03b7.<\/p>\n<p>\u0393\u03b9\u03b1 \u03b5\u03c0\u03b1\u03b3\u03b3\u03b5\u03bb\u03bc\u03b1\u03c4\u03af\u03b5\u03c2 \u03c0\u03bf\u03c5 \u03c3\u03c7\u03b5\u03b4\u03b9\u03ac\u03b6\u03bf\u03c5\u03bd AI workflows, \u03c4\u03bf \u03c0\u03b9\u03bf \u03c3\u03b7\u03bc\u03b1\u03bd\u03c4\u03b9\u03ba\u03cc \u03c3\u03c5\u03bc\u03c0\u03ad\u03c1\u03b1\u03c3\u03bc\u03b1 \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03bd\u03b1 \u03b1\u03bd\u03c4\u03b9\u03b3\u03c1\u03ac\u03c8\u03bf\u03c5\u03bd \u03c4\u03b9\u03c2 \u03c4\u03b9\u03bc\u03ad\u03c2 0,20 \u03ae 0,25. \u0395\u03af\u03bd\u03b1\u03b9 \u03bd\u03b1 \u03c0\u03ac\u03c8\u03bf\u03c5\u03bd \u03bd\u03b1 \u03b1\u03bd\u03c4\u03b9\u03bc\u03b5\u03c4\u03c9\u03c0\u03af\u03b6\u03bf\u03c5\u03bd \u03c4\u03bf retrieval \u03c9\u03c2 \u03c3\u03c4\u03b1\u03b8\u03b5\u03c1\u03cc \u03c3\u03c9\u03bb\u03ae\u03bd\u03b1 \u03ba\u03b1\u03b9 \u03c4\u03b7\u03bd confidence \u03c9\u03c2 \u03b4\u03b9\u03b1\u03ba\u03bf\u03c3\u03bc\u03b7\u03c4\u03b9\u03ba\u03cc score. \u0397 \u03b1\u03be\u03b9\u03bf\u03c0\u03b9\u03c3\u03c4\u03af\u03b1 \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03bc\u03b5\u03c4\u03c1\u03ae\u03c3\u03b9\u03bc\u03b7 \u03ba\u03ac\u03bb\u03c5\u03c8\u03b7, \u03ad\u03bb\u03b5\u03b3\u03c7\u03bf \u03b8\u03bf\u03c1\u03cd\u03b2\u03bf\u03c5, \u03b2\u03b1\u03b8\u03bc\u03bf\u03bd\u03cc\u03bc\u03b7\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03c0\u03b1\u03c1\u03b1\u03ba\u03bf\u03bb\u03bf\u03cd\u03b8\u03b7\u03c3\u03b7 \u03c4\u03bf\u03c5 \u03c4\u03c1\u03cc\u03c0\u03bf\u03c5 \u03bc\u03b5 \u03c4\u03bf\u03bd \u03bf\u03c0\u03bf\u03af\u03bf \u03b7 \u03b5\u03ba\u03c0\u03b1\u03af\u03b4\u03b5\u03c5\u03c3\u03b7 \u03b5\u03bd\u03b9\u03c3\u03c7\u03cd\u03b5\u03b9 \u03ae \u03b1\u03c0\u03bf\u03b8\u03b1\u03c1\u03c1\u03cd\u03bd\u03b5\u03b9 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03b5\u03c2 \u03c3\u03c5\u03bc\u03c0\u03b5\u03c1\u03b9\u03c6\u03bf\u03c1\u03ad\u03c2.<\/p>\n<section class=\"td-service-cta\">\n<div class=\"td-service-cta-content\">\n<p class=\"td-service-cta-kicker\">\u0391\u03c0\u03cc \u03c4\u03bf retrieval \u03c3\u03c4\u03bf \u03b5\u03bb\u03b5\u03b3\u03c7\u03cc\u03bc\u03b5\u03bd\u03bf \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1<\/p>\n<h3>\u03a3\u03c7\u03b5\u03b4\u03b9\u03ac\u03c3\u03c4\u03b5 AI search agents \u03c0\u03bf\u03c5 \u03be\u03ad\u03c1\u03bf\u03c5\u03bd \u03c0\u03cc\u03c4\u03b5 \u03ad\u03c7\u03bf\u03c5\u03bd \u03b1\u03c1\u03ba\u03b5\u03c4\u03ac \u03c4\u03b5\u03ba\u03bc\u03ae\u03c1\u03b9\u03b1<\/h3>\n<p>\u0397 TWO DOTS \u03c7\u03b1\u03c1\u03c4\u03bf\u03b3\u03c1\u03b1\u03c6\u03b5\u03af corpus, permissions, adaptive retrieval, evaluation sets, abstention, monitoring \u03ba\u03b1\u03b9 \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03b1 approvals, \u03ce\u03c3\u03c4\u03b5 \u03ba\u03ac\u03b8\u03b5 RAG \u03ae agentic workflow \u03bd\u03b1 \u03b4\u03b5\u03af\u03c7\u03bd\u03b5\u03b9 \u03c4\u03b9 \u03b2\u03c1\u03ae\u03ba\u03b5, \u03c4\u03b9 \u03b1\u03b3\u03bd\u03cc\u03b7\u03c3\u03b5 \u03ba\u03b1\u03b9 \u03c0\u03cc\u03c4\u03b5 \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c0\u03b1\u03c1\u03ad\u03bc\u03b2\u03b1\u03c3\u03b7.<\/p>\n<div class=\"td-service-cta-actions\"><a class=\"td-service-cta-button\" href=\"https:\/\/twodots.gr\/aftomatismoi-epicheiriseon-ai\/\">Check out Business Automation &amp; AI<\/a><\/div>\n<\/div>\n<\/section>\n<section id=\"sychnes-erotiseis\" class=\"td-faq-section\">\n<div class=\"td-faq\">\n<p class=\"td-faq-heading\">Frequently Asked Questions (FAQs)<\/p>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a4\u03b9 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c4\u03bf CAS \u03b3\u03b9\u03b1 \u03c4\u03bf\u03c5\u03c2 AI search agents;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u03a4\u03bf CAS \u03b5\u03af\u03bd\u03b1\u03b9 \u03b5\u03c1\u03b5\u03c5\u03bd\u03b7\u03c4\u03b9\u03ba\u03cc \u03c0\u03bb\u03b1\u03af\u03c3\u03b9\u03bf \u03c0\u03bf\u03c5 \u03c3\u03c5\u03bd\u03b4\u03c5\u03ac\u03b6\u03b5\u03b9 Adaptive Prediction Sets \u03c3\u03c4\u03bf retrieval \u03ba\u03b1\u03b9 Adaptive Conformal Inference \u03c3\u03c4\u03b7\u03bd \u03b5\u03ba\u03c0\u03b1\u03af\u03b4\u03b5\u03c5\u03c3\u03b7 \u03bc\u03b5 GRPO, \u03ce\u03c3\u03c4\u03b5 \u03c4\u03bf \u03bc\u03ad\u03b3\u03b5\u03b8\u03bf\u03c2 \u03c4\u03bf\u03c5 context \u03ba\u03b1\u03b9 \u03c4\u03bf \u03b2\u03ac\u03c1\u03bf\u03c2 \u03c4\u03c9\u03bd trajectories \u03bd\u03b1 \u03b5\u03c0\u03b7\u03c1\u03b5\u03ac\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03b1\u03c0\u03cc \u03b2\u03b1\u03b8\u03bc\u03bf\u03bd\u03bf\u03bc\u03b7\u03bc\u03ad\u03bd\u03b7 \u03b1\u03b2\u03b5\u03b2\u03b1\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u0393\u03b9\u03b1\u03c4\u03af \u03c4\u03bf fixed Top-K \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b1\u03c0\u03bf\u03c4\u03cd\u03c7\u03b5\u03b9;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u0395\u03c0\u03b5\u03b9\u03b4\u03ae \u03b5\u03c0\u03b9\u03c3\u03c4\u03c1\u03ad\u03c6\u03b5\u03b9 \u03af\u03b4\u03b9\u03bf \u03c0\u03bb\u03ae\u03b8\u03bf\u03c2 \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03b5\u03c3\u03bc\u03ac\u03c4\u03c9\u03bd \u03c3\u03b5 \u03b5\u03cd\u03ba\u03bf\u03bb\u03b1 \u03ba\u03b1\u03b9 \u03b4\u03cd\u03c3\u03ba\u03bf\u03bb\u03b1 queries. \u0388\u03c4\u03c3\u03b9 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03ba\u03cc\u03c8\u03b5\u03b9 \u03ba\u03c1\u03af\u03c3\u03b9\u03bc\u03bf \u03c4\u03b5\u03ba\u03bc\u03ae\u03c1\u03b9\u03bf \u03cc\u03c4\u03b1\u03bd \u03c4\u03bf K \u03b5\u03af\u03bd\u03b1\u03b9 \u03bc\u03b9\u03ba\u03c1\u03cc \u03ae \u03bd\u03b1 \u03c0\u03c1\u03bf\u03c3\u03b8\u03ad\u03c3\u03b5\u03b9 \u03b8\u03cc\u03c1\u03c5\u03b2\u03bf \u03cc\u03c4\u03b1\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03bc\u03b5\u03b3\u03ac\u03bb\u03bf.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a0\u03bf\u03b9\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b7 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03ac \u03b1\u03bd\u03ac\u03bc\u03b5\u03c3\u03b1 \u03c3\u03b5 APS \u03ba\u03b1\u03b9 ACI;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u03a4\u03bf APS \u03bb\u03b5\u03b9\u03c4\u03bf\u03c5\u03c1\u03b3\u03b5\u03af \u03c0\u03c1\u03b9\u03bd \u03b1\u03c0\u03cc \u03c4\u03bf reasoning \u03ba\u03b1\u03b9 \u03c0\u03c1\u03bf\u03c3\u03b1\u03c1\u03bc\u03cc\u03b6\u03b5\u03b9 \u03c0\u03cc\u03c3\u03b1 \u03ad\u03b3\u03b3\u03c1\u03b1\u03c6\u03b1 \u03c0\u03b5\u03c1\u03bd\u03bf\u03cd\u03bd \u03c3\u03c4\u03bf context. \u03a4\u03bf ACI \u03bb\u03b5\u03b9\u03c4\u03bf\u03c5\u03c1\u03b3\u03b5\u03af \u03c3\u03c4\u03b7\u03bd \u03b5\u03ba\u03c0\u03b1\u03af\u03b4\u03b5\u03c5\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03bc\u03b5\u03b9\u03ce\u03bd\u03b5\u03b9 \u03c4\u03bf \u03b8\u03b5\u03c4\u03b9\u03ba\u03cc learning signal \u03b3\u03b9\u03b1 trajectories \u03c0\u03bf\u03c5 \u03ba\u03b1\u03c4\u03b1\u03bb\u03ae\u03b3\u03bf\u03c5\u03bd \u03c3\u03c9\u03c3\u03c4\u03ac \u03b1\u03bb\u03bb\u03ac \u03b5\u03bc\u03c6\u03b1\u03bd\u03af\u03b6\u03bf\u03c5\u03bd \u03c7\u03b1\u03bc\u03b7\u03bb\u03ae \u03b5\u03bc\u03c0\u03b9\u03c3\u03c4\u03bf\u03c3\u03cd\u03bd\u03b7.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a0\u03bf\u03b9\u03bf \u03ae\u03c4\u03b1\u03bd \u03c4\u03bf \u03b2\u03b1\u03c3\u03b9\u03ba\u03cc \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1 \u03c4\u03b7\u03c2 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7\u03c2;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u03a3\u03c4\u03bf\u03bd Qwen3-8B, \u03c4\u03bf CAS \u03b5\u03af\u03c7\u03b5 \u03bc\u03ad\u03c3\u03bf Exact Match 0,464 \u03c3\u03c4\u03b1 \u03b5\u03c0\u03c4\u03ac datasets, \u03ad\u03bd\u03b1\u03bd\u03c4\u03b9 0,446 \u03c4\u03bf\u03c5 Search-R2 \u03ba\u03b1\u03b9 0,400 \u03c4\u03bf\u03c5 Search-R1. \u0397 \u03bc\u03b5\u03b3\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03b7 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03ac \u03b1\u03c0\u03cc \u03c4\u03bf Search-R1 \u03b5\u03bc\u03c6\u03b1\u03bd\u03af\u03c3\u03c4\u03b7\u03ba\u03b5 \u03c3\u03c4\u03b1 multi-hop tasks, \u03bc\u03b5 +0,078.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u0393\u03b9\u03b1\u03c4\u03af \u03c0\u03b5\u03c1\u03b9\u03c3\u03c3\u03cc\u03c4\u03b5\u03c1\u03b1 \u03ad\u03b3\u03b3\u03c1\u03b1\u03c6\u03b1 \u03ad\u03b2\u03bb\u03b1\u03c8\u03b1\u03bd \u03c4\u03b1 multi-hop queries;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u03a3\u03c4\u03bf sensitivity test, \u03b7 \u03c1\u03cd\u03b8\u03bc\u03b9\u03c3\u03b7 \u03b1=0,05 \u03b1\u03bd\u03ad\u03b2\u03b1\u03c3\u03b5 \u03c4\u03bf\u03bd \u03bc\u03ad\u03c3\u03bf \u03b1\u03c1\u03b9\u03b8\u03bc\u03cc \u03b5\u03b3\u03b3\u03c1\u03ac\u03c6\u03c9\u03bd \u03c3\u03b5 4,8 \u03b1\u03bb\u03bb\u03ac \u03ad\u03c1\u03b9\u03be\u03b5 \u03c4\u03bf multi-hop Exact Match \u03b1\u03c0\u03cc 0,328 \u03c3\u03b5 0,234. \u0397 \u03c0\u03c1\u03cc\u03c3\u03b8\u03b5\u03c4\u03b7 \u03ba\u03ac\u03bb\u03c5\u03c8\u03b7 \u03ad\u03c6\u03b5\u03c1\u03b5 \u03b1\u03c1\u03ba\u03b5\u03c4\u03cc \u03b8\u03cc\u03c1\u03c5\u03b2\u03bf \u03ce\u03c3\u03c4\u03b5 \u03bd\u03b1 \u03b4\u03c5\u03c3\u03ba\u03bf\u03bb\u03ad\u03c8\u03b5\u03b9 \u03c4\u03b7 \u03c3\u03cd\u03bd\u03b8\u03b5\u03c3\u03b7 \u03c0\u03bf\u03bb\u03bb\u03ce\u03bd \u03b2\u03b7\u03bc\u03ac\u03c4\u03c9\u03bd.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u0395\u03b3\u03b3\u03c5\u03ac\u03c4\u03b1\u03b9 \u03c4\u03bf conformal prediction \u03c3\u03c9\u03c3\u03c4\u03ae \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7 \u03c3\u03b5 \u03ba\u03ac\u03b8\u03b5 query;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u038c\u03c7\u03b9. \u039f\u03b9 \u03b5\u03b3\u03b3\u03c5\u03ae\u03c3\u03b5\u03b9\u03c2 \u03b5\u03af\u03bd\u03b1\u03b9 \u03bf\u03c1\u03b9\u03b1\u03ba\u03ad\u03c2 \u03ae \u03bc\u03b1\u03ba\u03c1\u03bf\u03c7\u03c1\u03cc\u03bd\u03b9\u03b5\u03c2 \u03c5\u03c0\u03cc \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03b5\u03c2 \u03c5\u03c0\u03bf\u03b8\u03ad\u03c3\u03b5\u03b9\u03c2 \u03ba\u03b1\u03b9 \u03b1\u03c6\u03bf\u03c1\u03bf\u03cd\u03bd \u03c4\u03b7 \u03b2\u03b1\u03b8\u03bc\u03bf\u03bd\u03cc\u03bc\u03b7\u03c3\u03b7 \u03c4\u03bf\u03c5 \u03c3\u03c5\u03bd\u03cc\u03bb\u03bf\u03c5, \u03cc\u03c7\u03b9 \u03b2\u03b5\u03b2\u03b1\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1 \u03bf\u03c1\u03b8\u03cc\u03c4\u03b7\u03c4\u03b1\u03c2 \u03b3\u03b9\u03b1 \u03ba\u03ac\u03b8\u03b5 \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7 \u03bf\u03cd\u03c4\u03b5 \u03b5\u03b3\u03b3\u03cd\u03b7\u03c3\u03b7 \u03b3\u03b9\u03b1 \u03c4\u03b1 \u03b5\u03bd\u03b4\u03b9\u03ac\u03bc\u03b5\u03c3\u03b1 reasoning steps.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u039c\u03c0\u03bf\u03c1\u03b5\u03af \u03bc\u03b9\u03b1 \u03b5\u03c0\u03b9\u03c7\u03b5\u03af\u03c1\u03b7\u03c3\u03b7 \u03bd\u03b1 \u03b1\u03bd\u03c4\u03b9\u03b3\u03c1\u03ac\u03c8\u03b5\u03b9 \u03c4\u03b9\u03c2 \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03c4\u03c1\u03bf\u03c5\u03c2 \u03c4\u03bf\u03c5 paper;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u038c\u03c7\u03b9 \u03c7\u03c9\u03c1\u03af\u03c2 \u03b4\u03b9\u03ba\u03cc \u03c4\u03b7\u03c2 validation. \u039f\u03b9 \u03c4\u03b9\u03bc\u03ad\u03c2 \u03b1=0,20 \u03ba\u03b1\u03b9 \u03c1=0,25 \u03c0\u03c1\u03bf\u03ad\u03ba\u03c5\u03c8\u03b1\u03bd \u03b1\u03c0\u03cc \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03b1 QA datasets, \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03b1, E5 retriever \u03ba\u03b1\u03b9 Wikipedia \u03c4\u03bf\u03c5 2018. Proprietary \u03b3\u03bd\u03ce\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03cc \u03ba\u03cc\u03c3\u03c4\u03bf\u03c2 \u03bb\u03ac\u03b8\u03bf\u03c5\u03c2 \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03bd\u03ad\u03b1 \u03b2\u03b1\u03b8\u03bc\u03bf\u03bd\u03cc\u03bc\u03b7\u03c3\u03b7.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a0\u03bf\u03b9\u03bf \u03b5\u03af\u03bd\u03b1\u03b9 \u03c4\u03bf \u03c0\u03c1\u03ce\u03c4\u03bf \u03b1\u03c3\u03c6\u03b1\u03bb\u03ad\u03c2 pilot \u03b3\u03b9\u03b1 \u03bc\u03b9\u03b1 \u03b5\u03c0\u03b9\u03c7\u03b5\u03af\u03c1\u03b7\u03c3\u03b7;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u0388\u03bd\u03b1 \u03b1\u03bd\u03c4\u03b9\u03c0\u03c1\u03bf\u03c3\u03c9\u03c0\u03b5\u03c5\u03c4\u03b9\u03ba\u03cc set \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ce\u03bd queries \u03bc\u03b5 \u03b5\u03bb\u03b5\u03b3\u03bc\u03ad\u03bd\u03b1 \u03c4\u03b5\u03ba\u03bc\u03ae\u03c1\u03b9\u03b1, baseline fixed Top-K \u03ba\u03b1\u03b9 \u03c0\u03b1\u03c1\u03ac\u03bb\u03bb\u03b7\u03bb\u03b7 \u03bc\u03ad\u03c4\u03c1\u03b7\u03c3\u03b7 evidence coverage, context noise, search calls, \u03c4\u03b5\u03bb\u03b9\u03ba\u03ae\u03c2 \u03b1\u03ba\u03c1\u03af\u03b2\u03b5\u03b9\u03b1\u03c2, abstention \u03ba\u03b1\u03b9 \u03c7\u03c1\u03cc\u03bd\u03bf\u03c5 \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03b7\u03c2 \u03b5\u03c0\u03b1\u03bb\u03ae\u03b8\u03b5\u03c5\u03c3\u03b7\u03c2.<\/p>\n<\/div>\n<\/details>\n<\/div>\n<\/section>\n<div class=\"td-source-list\">\n<p id=\"piges\" class=\"td-source-list-title\">Sources<\/p>\n<ul>\n<li><a href=\"https:\/\/arxiv.org\/abs\/2608.20771\" target=\"_blank\" rel=\"noopener\">arXiv \u2014 CAS: Conformalized Agentic Search via Adaptive Retrieval and Policy Weighting<\/a><\/li>\n<li><a href=\"https:\/\/github.com\/S1llyBird\/CAS\" target=\"_blank\" rel=\"noopener\">GitHub \u2014 \u03b5\u03c0\u03af\u03c3\u03b7\u03bc\u03bf \u03b1\u03c0\u03bf\u03b8\u03b5\u03c4\u03ae\u03c1\u03b9\u03bf \u03c4\u03bf\u03c5 CAS<\/a><\/li>\n<li><a href=\"https:\/\/www.nist.gov\/publications\/artificial-intelligence-risk-management-framework-ai-rmf-10\" target=\"_blank\" rel=\"noopener\">NIST \u2014 Artificial Intelligence Risk Management Framework 1.0<\/a><\/li>\n<li><a href=\"https:\/\/www.nist.gov\/publications\/artificial-intelligence-risk-management-framework-generative-artificial-intelligence\" target=\"_blank\" rel=\"noopener\">NIST \u2014 Generative Artificial Intelligence Profile<\/a><\/li>\n<\/ul>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>\u03a4\u03bf CAS \u03c0\u03c1\u03bf\u03c3\u03b1\u03c1\u03bc\u03cc\u03b6\u03b5\u03b9 \u03c4\u03bf retrieval \u03c4\u03c9\u03bd AI search agents \u03ba\u03b1\u03b9 \u03b2\u03b1\u03b8\u03bc\u03bf\u03bd\u03bf\u03bc\u03b5\u03af \u03c4\u03b7\u03bd \u03b5\u03ba\u03c0\u03b1\u03af\u03b4\u03b5\u03c5\u03c3\u03ae \u03c4\u03bf\u03c5\u03c2. \u03a4\u03b9 \u03ad\u03b4\u03b5\u03b9\u03be\u03b1\u03bd \u03b5\u03c0\u03c4\u03ac QA datasets \u03ba\u03b1\u03b9 \u03c0\u03ce\u03c2 \u03c3\u03c4\u03ae\u03bd\u03b5\u03c4\u03b1\u03b9 \u03b1\u03c3\u03c6\u03b1\u03bb\u03ad\u03c2 pilot.<\/p>","protected":false},"author":1,"featured_media":91291,"comment_status":"open","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_gspb_post_css":"","content-type":"","footnotes":""},"categories":[199],"tags":[6809,6506,19886,8233,18034],"class_list":["post-91226","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-techniti-noimosyni","tag-agentic-search","tag-ai-agents","tag-conformal-prediction","tag-rag","tag-reinforcement-learning"],"blocksy_meta":{"styles_descriptor":{"styles":{"desktop":"","tablet":"","mobile":""},"google_fonts":[],"version":8}},"_links":{"self":[{"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/posts\/91226","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/comments?post=91226"}],"version-history":[{"count":1,"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/posts\/91226\/revisions"}],"predecessor-version":[{"id":91292,"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/posts\/91226\/revisions\/91292"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/media\/91291"}],"wp:attachment":[{"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/media?parent=91226"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/categories?post=91226"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/tags?post=91226"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}