{"id":98919,"date":"2026-10-18T19:33:06","date_gmt":"2026-10-18T16:33:06","guid":{"rendered":"https:\/\/twodots.gr\/?p=98919"},"modified":"2026-10-18T19:33:06","modified_gmt":"2026-10-18T16:33:06","slug":"molemb-multimodal-ai-moriaki-anazitisi","status":"publish","type":"post","link":"https:\/\/twodots.gr\/bg\/molemb-multimodal-ai-moriaki-anazitisi\/","title":{"rendered":"MolEmb: \u03cc\u03c4\u03b1\u03bd \u03c4\u03b1 multimodal AI \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03b1 \u03b3\u03af\u03bd\u03bf\u03bd\u03c4\u03b1\u03b9 \u03bc\u03b7\u03c7\u03b1\u03bd\u03ad\u03c2 \u03bc\u03bf\u03c1\u03b9\u03b1\u03ba\u03ae\u03c2 \u03b1\u03bd\u03b1\u03b6\u03ae\u03c4\u03b7\u03c3\u03b7\u03c2"},"content":{"rendered":"<p>\u03a4\u03b1 \u03bc\u03b5\u03b3\u03ac\u03bb\u03b1 multimodal \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03b1 \u03c4\u03b5\u03c7\u03bd\u03b7\u03c4\u03ae\u03c2 \u03bd\u03bf\u03b7\u03bc\u03bf\u03c3\u03cd\u03bd\u03b7\u03c2 \u03ad\u03c7\u03bf\u03c5\u03bd \u03c0\u03b1\u03c1\u03bf\u03c5\u03c3\u03b9\u03b1\u03c3\u03c4\u03b5\u03af \u03ba\u03c5\u03c1\u03af\u03c9\u03c2 \u03c9\u03c2 \u03c3\u03c5\u03c3\u03c4\u03ae\u03bc\u03b1\u03c4\u03b1 \u03c0\u03bf\u03c5 \u00ab\u03b2\u03bb\u03ad\u03c0\u03bf\u03c5\u03bd\u00bb, \u03b4\u03b9\u03b1\u03b2\u03ac\u03b6\u03bf\u03c5\u03bd \u03ba\u03b1\u03b9 \u03c0\u03b1\u03c1\u03ac\u03b3\u03bf\u03c5\u03bd \u03b1\u03c0\u03b1\u03bd\u03c4\u03ae\u03c3\u03b5\u03b9\u03c2. \u0397 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7 <strong>MolEmb<\/strong> \u03b5\u03be\u03b5\u03c4\u03ac\u03b6\u03b5\u03b9 \u03ad\u03bd\u03b1\u03bd \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03cc \u03c1\u03cc\u03bb\u03bf: \u03b1\u03bd \u03c4\u03bf \u03af\u03b4\u03b9\u03bf \u03b5\u03af\u03b4\u03bf\u03c2 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf\u03c5 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03bc\u03b5\u03c4\u03b1\u03c4\u03c1\u03b1\u03c0\u03b5\u03af \u03c3\u03b5 \u03c5\u03c0\u03bf\u03b4\u03bf\u03bc\u03ae \u03b1\u03bd\u03b1\u03c0\u03b1\u03c1\u03ac\u03c3\u03c4\u03b1\u03c3\u03b7\u03c2 \u03bc\u03bf\u03c1\u03af\u03c9\u03bd, \u03c0\u03b1\u03c1\u03ac\u03b3\u03bf\u03bd\u03c4\u03b1\u03c2 \u03b4\u03b9\u03b1\u03bd\u03cd\u03c3\u03bc\u03b1\u03c4\u03b1 \u03c0\u03bf\u03c5 \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03bf\u03cd\u03bd\u03c4\u03b1\u03b9 \u03be\u03b1\u03bd\u03ac \u03c3\u03b5 \u03c0\u03c1\u03cc\u03b2\u03bb\u03b5\u03c8\u03b7 \u03b9\u03b4\u03b9\u03bf\u03c4\u03ae\u03c4\u03c9\u03bd, \u03b1\u03bd\u03b1\u03b6\u03ae\u03c4\u03b7\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03b1\u03bd\u03ac\u03ba\u03c4\u03b7\u03c3\u03b7 \u03b5\u03c0\u03b9\u03c3\u03c4\u03b7\u03bc\u03bf\u03bd\u03b9\u03ba\u03ae\u03c2 \u03c0\u03bb\u03b7\u03c1\u03bf\u03c6\u03bf\u03c1\u03af\u03b1\u03c2.<\/p>\n<p>\u0397 \u03b1\u03bb\u03bb\u03b1\u03b3\u03ae \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03c0\u03bb\u03ce\u03c2 \u03c4\u03b5\u03c7\u03bd\u03b9\u03ba\u03ae. \u0388\u03bd\u03b1 \u03ba\u03bb\u03b1\u03c3\u03b9\u03ba\u03cc molecular encoder \u03c3\u03c5\u03bd\u03ae\u03b8\u03c9\u03c2 \u03b2\u03bb\u03ad\u03c0\u03b5\u03b9 \u03bc\u03af\u03b1 \u03bc\u03bf\u03c1\u03c6\u03ae \u03c4\u03bf\u03c5 \u03bc\u03bf\u03c1\u03af\u03bf\u03c5, \u03cc\u03c0\u03c9\u03c2 \u03b3\u03c1\u03ac\u03c6\u03bf, \u03b1\u03ba\u03bf\u03bb\u03bf\u03c5\u03b8\u03af\u03b1 SMILES \u03ae \u03b3\u03b5\u03c9\u03bc\u03b5\u03c4\u03c1\u03af\u03b1, \u03ba\u03b1\u03b9 \u03b5\u03c0\u03b9\u03c3\u03c4\u03c1\u03ad\u03c6\u03b5\u03b9 \u03ad\u03bd\u03b1 \u03c3\u03c4\u03b1\u03b8\u03b5\u03c1\u03cc \u03b4\u03b9\u03ac\u03bd\u03c5\u03c3\u03bc\u03b1. \u03a4\u03bf MolEmb \u03c0\u03c1\u03bf\u03c4\u03b5\u03af\u03bd\u03b5\u03b9 \u03ad\u03bd\u03b1 interface \u03cc\u03c0\u03bf\u03c5 \u03c4\u03bf \u03bc\u03cc\u03c1\u03b9\u03bf \u03c0\u03b1\u03c1\u03bf\u03c5\u03c3\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c9\u03c2 \u03b4\u03b9\u03c3\u03b4\u03b9\u03ac\u03c3\u03c4\u03b1\u03c4\u03b7 \u03b1\u03c0\u03b5\u03b9\u03ba\u03cc\u03bd\u03b9\u03c3\u03b7 \u03ba\u03b1\u03b9 canonical SMILES, \u03b5\u03bd\u03ce \u03bc\u03b9\u03b1 \u03bf\u03b4\u03b7\u03b3\u03af\u03b1 \u03c6\u03c5\u03c3\u03b9\u03ba\u03ae\u03c2 \u03b3\u03bb\u03ce\u03c3\u03c3\u03b1\u03c2 \u03bf\u03c1\u03af\u03b6\u03b5\u03b9 \u03c4\u03bf \u03b5\u03c0\u03b9\u03c3\u03c4\u03b7\u03bc\u03bf\u03bd\u03b9\u03ba\u03cc \u03c0\u03bb\u03b1\u03af\u03c3\u03b9\u03bf. \u0388\u03c4\u03c3\u03b9, \u03b7 \u03af\u03b4\u03b9\u03b1 \u03bc\u03bf\u03c1\u03b9\u03b1\u03ba\u03ae \u03c4\u03b1\u03c5\u03c4\u03cc\u03c4\u03b7\u03c4\u03b1 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b1\u03c0\u03bf\u03ba\u03c4\u03ac \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ae \u03c7\u03c1\u03ae\u03c3\u03b9\u03bc\u03b7 \u03b1\u03bd\u03b1\u03c0\u03b1\u03c1\u03ac\u03c3\u03c4\u03b1\u03c3\u03b7 \u03cc\u03c4\u03b1\u03bd \u03c4\u03bf \u03b5\u03c1\u03ce\u03c4\u03b7\u03bc\u03b1 \u03b1\u03c6\u03bf\u03c1\u03ac, \u03b3\u03b9\u03b1 \u03c0\u03b1\u03c1\u03ac\u03b4\u03b5\u03b9\u03b3\u03bc\u03b1, \u03c4\u03bf\u03be\u03b9\u03ba\u03cc\u03c4\u03b7\u03c4\u03b1, \u03b4\u03b9\u03b1\u03bb\u03c5\u03c4\u03cc\u03c4\u03b7\u03c4\u03b1 \u03ae \u03b4\u03b9\u03ad\u03bb\u03b5\u03c5\u03c3\u03b7 \u03b1\u03c0\u03cc \u03c4\u03bf\u03bd \u03b1\u03b9\u03bc\u03b1\u03c4\u03bf\u03b5\u03b3\u03ba\u03b5\u03c6\u03b1\u03bb\u03b9\u03ba\u03cc \u03c6\u03c1\u03b1\u03b3\u03bc\u03cc.<\/p>\n<div class=\"td-note\">\n<p class=\"td-note-title\">\u0397 \u03c3\u03cd\u03bd\u03c4\u03bf\u03bc\u03b7 \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7<\/p>\n<p>\u03a4\u03bf MolEmb \u03b4\u03b5\u03af\u03c7\u03bd\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03ad\u03bd\u03b1 multimodal AI \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b3\u03af\u03bd\u03b5\u03b9 \u03c7\u03c1\u03ae\u03c3\u03b9\u03bc\u03bf molecular embedding model \u03bc\u03cc\u03bd\u03bf \u03cc\u03c4\u03b1\u03bd \u03b5\u03c5\u03b8\u03c5\u03b3\u03c1\u03b1\u03bc\u03bc\u03b9\u03c3\u03c4\u03b5\u03af \u03bc\u03b5 \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1 \u03c0\u03bf\u03c5 \u03ba\u03b1\u03bb\u03cd\u03c0\u03c4\u03bf\u03c5\u03bd \u03c4\u03b9\u03c2 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ad\u03c2 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b5\u03c2 \u03b1\u03bd\u03b1\u03b6\u03ae\u03c4\u03b7\u03c3\u03b7\u03c2. \u03a4\u03bf \u03ba\u03c1\u03af\u03c3\u03b9\u03bc\u03bf \u03b5\u03cd\u03c1\u03b7\u03bc\u03b1 \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03c0\u03bb\u03ce\u03c2 \u03b7 \u03c5\u03c8\u03b7\u03bb\u03ae \u03b5\u03c0\u03af\u03b4\u03bf\u03c3\u03b7, \u03b1\u03bb\u03bb\u03ac \u03cc\u03c4\u03b9 \u03b7 \u03b5\u03c5\u03b1\u03b9\u03c3\u03b8\u03b7\u03c3\u03af\u03b1 \u03c3\u03c4\u03bf context \u03c0\u03c1\u03bf\u03ba\u03cd\u03c0\u03c4\u03b5\u03b9 \u03ba\u03c5\u03c1\u03af\u03c9\u03c2 \u03b1\u03c0\u03cc \u03c4\u03bf \u03c3\u03c7\u03ae\u03bc\u03b1 \u03c4\u03b7\u03c2 \u03b5\u03c0\u03af\u03b2\u03bb\u03b5\u03c8\u03b7\u03c2 \u03ba\u03b1\u03b9 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b5\u03bb\u03ad\u03b3\u03c7\u03b5\u03c4\u03b1\u03b9 \u03c7\u03c9\u03c1\u03b9\u03c3\u03c4\u03ac \u03b1\u03c0\u03cc \u03c4\u03b7\u03bd \u03b1\u03bd\u03b1\u03b3\u03bd\u03ce\u03c1\u03b9\u03c3\u03b7 \u03c4\u03bf\u03c5 \u03bc\u03bf\u03c1\u03af\u03bf\u03c5.<\/p>\n<\/div>\n<div class=\"td-article-toc\">\n<div class=\"td-toc-title\">\u0421\u044a\u0434\u044a\u0440\u0436\u0430\u043d\u0438\u0435<\/div>\n<ul>\n<li><a href=\"#stathero-vector-oikogeneia-anaparastaseon\">\u0391\u03c0\u03cc \u03ad\u03bd\u03b1 \u03c3\u03c4\u03b1\u03b8\u03b5\u03c1\u03cc vector \u03c3\u03b5 \u03bf\u03b9\u03ba\u03bf\u03b3\u03ad\u03bd\u03b5\u03b9\u03b1 \u03b1\u03bd\u03b1\u03c0\u03b1\u03c1\u03b1\u03c3\u03c4\u03ac\u03c3\u03b5\u03c9\u03bd<\/a><\/li>\n<li><a href=\"#pos-molemb-prosarmozei-mllm\">\u03a0\u03ce\u03c2 \u03c4\u03bf MolEmb \u03c0\u03c1\u03bf\u03c3\u03b1\u03c1\u03bc\u03cc\u03b6\u03b5\u03b9 \u03ad\u03bd\u03b1 MLLM<\/a><\/li>\n<li><a href=\"#dedomena-efthygrammisis-poikilia\">\u03a4\u03b1 \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1 \u03b5\u03c5\u03b8\u03c5\u03b3\u03c1\u03ac\u03bc\u03bc\u03b9\u03c3\u03b7\u03c2 \u03ba\u03b1\u03b9 \u03b3\u03b9\u03b1\u03c4\u03af \u03b7 \u03c0\u03bf\u03b9\u03ba\u03b9\u03bb\u03af\u03b1 \u03c4\u03bf\u03c5\u03c2 \u03bc\u03b5\u03c4\u03c1\u03ac<\/a><\/li>\n<li><a href=\"#provlepsi-moriakon-idiotiton\">\u03a0\u03c1\u03cc\u03b2\u03bb\u03b5\u03c8\u03b7 \u03bc\u03bf\u03c1\u03b9\u03b1\u03ba\u03ce\u03bd \u03b9\u03b4\u03b9\u03bf\u03c4\u03ae\u03c4\u03c9\u03bd \u03c3\u03b5 \u03bf\u03ba\u03c4\u03ce benchmarks<\/a><\/li>\n<li><a href=\"#molecule-text-retrieval\">\u03a4\u03bf \u03ba\u03c1\u03af\u03c3\u03b9\u03bc\u03bf \u03c4\u03b5\u03c3\u03c4: molecule-text retrieval<\/a><\/li>\n<li><a href=\"#molcar-polla-contexts\">MolCAR: \u03cc\u03c4\u03b1\u03bd \u03c4\u03bf \u03af\u03b4\u03b9\u03bf \u03bc\u03cc\u03c1\u03b9\u03bf \u03ad\u03c7\u03b5\u03b9 \u03c0\u03bf\u03bb\u03bb\u03ad\u03c2 \u03c3\u03c9\u03c3\u03c4\u03ad\u03c2 \u03b1\u03c0\u03b1\u03bd\u03c4\u03ae\u03c3\u03b5\u03b9\u03c2<\/a><\/li>\n<li><a href=\"#geniki-efthygrammisi-lysi\">\u0397 \u03b1\u03c0\u03bf\u03c4\u03c5\u03c7\u03af\u03b1 \u03c4\u03b7\u03c2 \u03b3\u03b5\u03bd\u03b9\u03ba\u03ae\u03c2 \u03b5\u03c5\u03b8\u03c5\u03b3\u03c1\u03ac\u03bc\u03bc\u03b9\u03c3\u03b7\u03c2 \u03ba\u03b1\u03b9 \u03b7 \u03bb\u03cd\u03c3\u03b7<\/a><\/li>\n<li><a href=\"#data-lesson-ai-products\">\u03a4\u03bf \u03b2\u03b1\u03c3\u03b9\u03ba\u03cc data lesson \u03b3\u03b9\u03b1 AI \u03c0\u03c1\u03bf\u03ca\u03cc\u03bd\u03c4\u03b1<\/a><\/li>\n<li><a href=\"#oria-erevnas\">\u03a4\u03b9 \u03b4\u03b5\u03bd \u03b1\u03c0\u03bf\u03b4\u03b5\u03b9\u03ba\u03bd\u03cd\u03b5\u03b9 \u03b7 \u03ad\u03c1\u03b5\u03c5\u03bd\u03b1<\/a><\/li>\n<li><a href=\"#praktiki-stratigiki-retrieval\">\u039c\u03b9\u03b1 \u03c0\u03c1\u03b1\u03ba\u03c4\u03b9\u03ba\u03ae \u03c3\u03c4\u03c1\u03b1\u03c4\u03b7\u03b3\u03b9\u03ba\u03ae \u03b3\u03b9\u03b1 \u03bf\u03bc\u03ac\u03b4\u03b5\u03c2 \u03c0\u03bf\u03c5 \u03c7\u03c4\u03af\u03b6\u03bf\u03c5\u03bd retrieval<\/a><\/li>\n<li><a href=\"#ti-kratame-molemb\">\u03a4\u03b9 \u03ba\u03c1\u03b1\u03c4\u03ac\u03bc\u03b5 \u03b1\u03c0\u03cc \u03c4\u03bf MolEmb<\/a><\/li>\n<\/ul>\n<\/div>\n<h2 id=\"stathero-vector-oikogeneia-anaparastaseon\">\u0391\u03c0\u03cc \u03ad\u03bd\u03b1 \u03c3\u03c4\u03b1\u03b8\u03b5\u03c1\u03cc vector \u03c3\u03b5 \u03bf\u03b9\u03ba\u03bf\u03b3\u03ad\u03bd\u03b5\u03b9\u03b1 \u03b1\u03bd\u03b1\u03c0\u03b1\u03c1\u03b1\u03c3\u03c4\u03ac\u03c3\u03b5\u03c9\u03bd<\/h2>\n<p>\u039f\u03b9 \u03c3\u03c5\u03b3\u03b3\u03c1\u03b1\u03c6\u03b5\u03af\u03c2 \u03bf\u03c1\u03af\u03b6\u03bf\u03c5\u03bd \u03c4\u03bf <em>general molecular embedding model<\/em> \u03c9\u03c2 \u03bc\u03b9\u03b1 \u03c3\u03c5\u03bd\u03ac\u03c1\u03c4\u03b7\u03c3\u03b7 \u03c0\u03bf\u03c5 \u03b4\u03ad\u03c7\u03b5\u03c4\u03b1\u03b9 \u03b4\u03cd\u03bf \u03c0\u03c1\u03ac\u03b3\u03bc\u03b1\u03c4\u03b1: \u03ad\u03bd\u03b1 \u03bc\u03bf\u03c1\u03b9\u03b1\u03ba\u03cc \u03c0\u03c1\u03bf\u03c6\u03af\u03bb \u03bc\u03b5 \u03c4\u03b9\u03c2 \u03b4\u03b9\u03b1\u03b8\u03ad\u03c3\u03b9\u03bc\u03b5\u03c2 \u03cc\u03c8\u03b5\u03b9\u03c2 \u03c4\u03bf\u03c5 \u03bc\u03bf\u03c1\u03af\u03bf\u03c5 \u03ba\u03b1\u03b9 \u03ad\u03bd\u03b1 \u03c3\u03b7\u03bc\u03b1\u03c3\u03b9\u03bf\u03bb\u03bf\u03b3\u03b9\u03ba\u03cc context. \u0397 \u03ad\u03be\u03bf\u03b4\u03bf\u03c2 \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03bd\u03b5\u03b9 \u03ad\u03bd\u03b1 \u03b4\u03b9\u03ac\u03bd\u03c5\u03c3\u03bc\u03b1 \u03c3\u03c4\u03b1\u03b8\u03b5\u03c1\u03bf\u03cd \u03bc\u03ae\u03ba\u03bf\u03c5\u03c2, \u03cc\u03bc\u03c9\u03c2 \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03bd\u03b1\u03b3\u03ba\u03b1\u03c3\u03c4\u03b9\u03ba\u03ac \u03c4\u03bf \u03af\u03b4\u03b9\u03bf \u03b3\u03b9\u03b1 \u03ba\u03ac\u03b8\u03b5 \u03c7\u03c1\u03ae\u03c3\u03b7. \u0393\u03b9\u03b1 \u03ad\u03bd\u03b1 \u03c3\u03c4\u03b1\u03b8\u03b5\u03c1\u03cc \u03bc\u03cc\u03c1\u03b9\u03bf, \u03c4\u03bf \u03c3\u03cd\u03bd\u03bf\u03bb\u03bf \u03c4\u03c9\u03bd embeddings \u03c0\u03bf\u03c5 \u03c0\u03c1\u03bf\u03ba\u03cd\u03c0\u03c4\u03bf\u03c5\u03bd \u03b1\u03c0\u03cc \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ac contexts \u03c3\u03c7\u03b7\u03bc\u03b1\u03c4\u03af\u03b6\u03b5\u03b9 \u03bc\u03b9\u03b1 context-aware \u03bf\u03b9\u03ba\u03bf\u03b3\u03ad\u03bd\u03b5\u03b9\u03b1.<\/p>\n<p>\u0391\u03c5\u03c4\u03cc \u03b4\u03b9\u03b1\u03c7\u03c9\u03c1\u03af\u03b6\u03b5\u03b9 \u03c4\u03c1\u03b5\u03b9\u03c2 \u03ad\u03bd\u03bd\u03bf\u03b9\u03b5\u03c2 \u03c0\u03bf\u03c5 \u03c3\u03c5\u03c7\u03bd\u03ac \u03c3\u03c5\u03b3\u03c7\u03ad\u03bf\u03bd\u03c4\u03b1\u03b9. \u0397 \u03bc\u03bf\u03c1\u03b9\u03b1\u03ba\u03ae \u03c4\u03b1\u03c5\u03c4\u03cc\u03c4\u03b7\u03c4\u03b1 \u03bb\u03ad\u03b5\u03b9 \u03c0\u03bf\u03b9\u03bf \u03b5\u03af\u03bd\u03b1\u03b9 \u03c4\u03bf \u03bc\u03cc\u03c1\u03b9\u03bf. \u03a4\u03bf \u03c0\u03c1\u03bf\u03c6\u03af\u03bb \u03c0\u03b5\u03c1\u03b9\u03b3\u03c1\u03ac\u03c6\u03b5\u03b9 \u03c0\u03bf\u03b9\u03b5\u03c2 \u03c0\u03b1\u03c1\u03b1\u03c4\u03b7\u03c1\u03ae\u03c3\u03b5\u03b9\u03c2 \u03ad\u03c7\u03bf\u03c5\u03bc\u03b5 \u03b4\u03b9\u03b1\u03b8\u03ad\u03c3\u03b9\u03bc\u03b5\u03c2, \u03c3\u03c4\u03b7 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03b7 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1 \u03b5\u03b9\u03ba\u03cc\u03bd\u03b1 2D \u03ba\u03b1\u03b9 SMILES. \u03a4\u03bf context \u03b4\u03b7\u03bb\u03ce\u03bd\u03b5\u03b9 \u03c4\u03bf\u03bd \u03b5\u03c0\u03b9\u03c3\u03c4\u03b7\u03bc\u03bf\u03bd\u03b9\u03ba\u03cc \u03c6\u03b1\u03ba\u03cc \u03bc\u03ad\u03c3\u03b1 \u03b1\u03c0\u03cc \u03c4\u03bf\u03bd \u03bf\u03c0\u03bf\u03af\u03bf \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03bf\u03c1\u03b3\u03b1\u03bd\u03c9\u03b8\u03b5\u03af \u03b7 \u03b1\u03bd\u03b1\u03c0\u03b1\u03c1\u03ac\u03c3\u03c4\u03b1\u03c3\u03b7. \u03a4\u03bf \u03b6\u03b7\u03c4\u03bf\u03cd\u03bc\u03b5\u03bd\u03bf \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03bd\u03b1 \u00ab\u03be\u03ad\u03c1\u03b5\u03b9 \u03c4\u03b1 \u03c0\u03ac\u03bd\u03c4\u03b1\u00bb \u03ad\u03bd\u03b1 vector, \u03b1\u03bb\u03bb\u03ac \u03bd\u03b1 \u03b5\u03bd\u03b5\u03c1\u03b3\u03bf\u03c0\u03bf\u03b9\u03b5\u03af \u03c4\u03b7 \u03c3\u03c9\u03c3\u03c4\u03ae \u03c0\u03bb\u03b7\u03c1\u03bf\u03c6\u03bf\u03c1\u03af\u03b1 \u03b3\u03b9\u03b1 \u03c4\u03bf \u03c3\u03c9\u03c3\u03c4\u03cc \u03ad\u03c1\u03b3\u03bf.<\/p>\n<p>\u0393\u03b9\u03b1 \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03ae\u03c3\u03b5\u03b9\u03c2 \u03c0\u03bf\u03c5 \u03b5\u03c0\u03b5\u03bd\u03b4\u03cd\u03bf\u03c5\u03bd \u03c3\u03b5 AI \u03c5\u03c0\u03bf\u03b4\u03bf\u03bc\u03ad\u03c2, \u03b7 \u03b9\u03b4\u03ad\u03b1 \u03b8\u03c5\u03bc\u03af\u03b6\u03b5\u03b9 \u03ad\u03bd\u03b1 \u03b5\u03c5\u03c1\u03cd\u03c4\u03b5\u03c1\u03bf pattern: \u03b7 \u03b1\u03be\u03af\u03b1 \u03b4\u03b5\u03bd \u03b2\u03c1\u03af\u03c3\u03ba\u03b5\u03c4\u03b1\u03b9 \u03bc\u03cc\u03bd\u03bf \u03c3\u03c4\u03b7\u03bd \u03c0\u03b1\u03c1\u03b1\u03b3\u03c9\u03b3\u03ae \u03c0\u03b5\u03c1\u03b9\u03b5\u03c7\u03bf\u03bc\u03ad\u03bd\u03bf\u03c5, \u03b1\u03bb\u03bb\u03ac \u03ba\u03b1\u03b9 \u03c3\u03c4\u03b7 \u03b4\u03b7\u03bc\u03b9\u03bf\u03c5\u03c1\u03b3\u03af\u03b1 \u03c3\u03c4\u03b1\u03b8\u03b5\u03c1\u03ce\u03bd representations \u03c0\u03bf\u03c5 \u03c4\u03c1\u03bf\u03c6\u03bf\u03b4\u03bf\u03c4\u03bf\u03cd\u03bd search, recommendations, matching \u03ba\u03b1\u03b9 retrieval-augmented workflows. \u0397 \u03af\u03b4\u03b9\u03b1 \u03b4\u03b9\u03ac\u03ba\u03c1\u03b9\u03c3\u03b7 \u03b5\u03bc\u03c6\u03b1\u03bd\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c3\u03c4\u03b1 <a href=\"https:\/\/twodots.gr\/multi-vector-embeddings-domain-finetuning-etairiki-anazitisi\/\">multi-vector embeddings \u03b3\u03b9\u03b1 \u03b5\u03c4\u03b1\u03b9\u03c1\u03b9\u03ba\u03ae \u03b1\u03bd\u03b1\u03b6\u03ae\u03c4\u03b7\u03c3\u03b7<\/a>, \u03cc\u03c0\u03bf\u03c5 \u03b7 \u03c3\u03c9\u03c3\u03c4\u03ae \u03b1\u03bd\u03b1\u03c0\u03b1\u03c1\u03ac\u03c3\u03c4\u03b1\u03c3\u03b7 \u03b5\u03be\u03b1\u03c1\u03c4\u03ac\u03c4\u03b1\u03b9 \u03b1\u03c0\u03cc \u03c4\u03bf domain \u03ba\u03b1\u03b9 \u03c4\u03bf \u03b5\u03c1\u03ce\u03c4\u03b7\u03bc\u03b1. \u03a3\u03c4\u03b7 \u03c7\u03b7\u03bc\u03b5\u03af\u03b1, \u03cc\u03bc\u03c9\u03c2, \u03c4\u03bf \u03ba\u03cc\u03c3\u03c4\u03bf\u03c2 \u03bc\u03b9\u03b1\u03c2 \u03bb\u03b1\u03bd\u03b8\u03b1\u03c3\u03bc\u03ad\u03bd\u03b7\u03c2 \u03b3\u03b5\u03bd\u03af\u03ba\u03b5\u03c5\u03c3\u03b7\u03c2 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c5\u03c8\u03b7\u03bb\u03cc, \u03b3\u03b9\u2019 \u03b1\u03c5\u03c4\u03cc \u03b7 \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b4\u03b9\u03b1\u03c7\u03c9\u03c1\u03af\u03b6\u03b5\u03b9 \u03ba\u03b1\u03b8\u03b1\u03c1\u03ac \u03c4\u03b7\u03bd \u03c0\u03c1\u03cc\u03b2\u03bb\u03b5\u03c8\u03b7, \u03c4\u03b7\u03bd \u03b1\u03bd\u03ac\u03ba\u03c4\u03b7\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03c4\u03b7\u03bd \u03b5\u03c5\u03b1\u03b9\u03c3\u03b8\u03b7\u03c3\u03af\u03b1 \u03c3\u03c4\u03bf context.<\/p>\n<div class=\"td-comparison td-comparison-cards--horizontal\">\n<div class=\"td-chart-head\">\n<p class=\"td-chart-kicker\">\u03a4\u03c1\u03af\u03b1 \u03b5\u03c0\u03af\u03c0\u03b5\u03b4\u03b1 \u03c0\u03bb\u03b7\u03c1\u03bf\u03c6\u03bf\u03c1\u03af\u03b1\u03c2<\/p>\n<p class=\"td-chart-title\">\u03a4\u03bf embedding \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03be\u03b5\u03c7\u03c9\u03c1\u03af\u03b6\u03b5\u03b9 \u03c4\u03b1\u03c5\u03c4\u03cc\u03c4\u03b7\u03c4\u03b1, \u03b4\u03b9\u03b1\u03b8\u03ad\u03c3\u03b9\u03bc\u03b5\u03c2 \u03cc\u03c8\u03b5\u03b9\u03c2 \u03ba\u03b1\u03b9 \u03c3\u03ba\u03bf\u03c0\u03cc<\/p>\n<p class=\"td-chart-intro\">\u0391\u03bd \u03c4\u03b1 \u03c4\u03c1\u03af\u03b1 \u03b5\u03c0\u03af\u03c0\u03b5\u03b4\u03b1 \u03c3\u03c5\u03b3\u03c7\u03c9\u03bd\u03b5\u03c5\u03c4\u03bf\u03cd\u03bd \u03c3\u03b5 \u03ad\u03bd\u03b1 \u03b1\u03b4\u03b9\u03b1\u03c6\u03b1\u03bd\u03ad\u03c2 vector, \u03b7 \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7 \u03b4\u03b5\u03bd \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b4\u03b5\u03af\u03be\u03b5\u03b9 \u03b1\u03bd \u03c4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03ba\u03b1\u03c4\u03ac\u03bb\u03b1\u03b2\u03b5 \u03c4\u03bf \u03b1\u03bd\u03c4\u03b9\u03ba\u03b5\u03af\u03bc\u03b5\u03bd\u03bf \u03ae \u03b1\u03c0\u03bb\u03ce\u03c2 \u03b1\u03bd\u03b1\u03b3\u03bd\u03ce\u03c1\u03b9\u03c3\u03b5 \u03ad\u03bd\u03b1 \u03b3\u03bd\u03ce\u03c1\u03b9\u03bc\u03bf \u03bc\u03bf\u03c4\u03af\u03b2\u03bf.<\/p>\n<\/div>\n<div class=\"td-comparison-grid\">\n<div class=\"td-platform-card\">\n<p class=\"td-platform-name\">\u03a4\u03b1\u03c5\u03c4\u03cc\u03c4\u03b7\u03c4\u03b1<\/p>\n<p>\u03a0\u03bf\u03b9\u03bf \u03b5\u03af\u03bd\u03b1\u03b9 \u03c4\u03bf \u03bc\u03cc\u03c1\u03b9\u03bf \u03b1\u03bd\u03b5\u03be\u03ac\u03c1\u03c4\u03b7\u03c4\u03b1 \u03b1\u03c0\u03cc \u03c4\u03bf \u03b5\u03c1\u03ce\u03c4\u03b7\u03bc\u03b1 \u03c0\u03bf\u03c5 \u03b8\u03b1 \u03c4\u03b5\u03b8\u03b5\u03af.<\/p>\n<\/div>\n<div class=\"td-platform-card\">\n<p class=\"td-platform-name\">\u03a0\u03c1\u03bf\u03c6\u03af\u03bb<\/p>\n<p>\u03a0\u03bf\u03b9\u03b5\u03c2 \u03cc\u03c8\u03b5\u03b9\u03c2 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b4\u03b9\u03b1\u03b8\u03ad\u03c3\u03b9\u03bc\u03b5\u03c2, \u03b5\u03b4\u03ce \u03b7 2D \u03b1\u03c0\u03b5\u03b9\u03ba\u03cc\u03bd\u03b9\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03c4\u03bf canonical SMILES.<\/p>\n<\/div>\n<div class=\"td-platform-card\">\n<p class=\"td-platform-name\">Context<\/p>\n<p>\u03a0\u03bf\u03b9\u03b1 \u03b9\u03b4\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1 \u03ae \u03b5\u03c0\u03b9\u03c3\u03c4\u03b7\u03bc\u03bf\u03bd\u03b9\u03ba\u03ae \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03ba\u03b1\u03b8\u03bf\u03b4\u03b7\u03b3\u03ae\u03c3\u03b5\u03b9 \u03c4\u03b7\u03bd \u03b1\u03bd\u03ac\u03ba\u03c4\u03b7\u03c3\u03b7.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<h2 id=\"pos-molemb-prosarmozei-mllm\">\u03a0\u03ce\u03c2 \u03c4\u03bf MolEmb \u03c0\u03c1\u03bf\u03c3\u03b1\u03c1\u03bc\u03cc\u03b6\u03b5\u03b9 \u03ad\u03bd\u03b1 MLLM<\/h2>\n<p>\u03a4\u03bf MolEmb \u03ba\u03c1\u03b1\u03c4\u03ac \u03c4\u03bf\u03bd pretrained \u03ba\u03bf\u03c1\u03bc\u03cc \u03c4\u03bf\u03c5 multimodal large language model \u03ba\u03b1\u03b9 \u03c0\u03c1\u03bf\u03c3\u03b8\u03ad\u03c4\u03b5\u03b9 \u03bc\u03b9\u03ba\u03c1\u03ac \u03b5\u03ba\u03c0\u03b1\u03b9\u03b4\u03b5\u03cd\u03c3\u03b9\u03bc\u03b1 LoRA adapters. \u03a4\u03bf input \u03c3\u03c5\u03bd\u03b4\u03c5\u03ac\u03b6\u03b5\u03b9 \u03c4\u03b7 \u03b4\u03b9\u03c3\u03b4\u03b9\u03ac\u03c3\u03c4\u03b1\u03c4\u03b7 \u03bc\u03bf\u03c1\u03b9\u03b1\u03ba\u03ae \u03b1\u03c0\u03b5\u03b9\u03ba\u03cc\u03bd\u03b9\u03c3\u03b7, \u03c4\u03bf canonical SMILES \u03ba\u03b1\u03b9, \u03cc\u03c0\u03bf\u03c5 \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9, \u03bc\u03b9\u03b1 \u03bf\u03b4\u03b7\u03b3\u03af\u03b1 \u03c6\u03c5\u03c3\u03b9\u03ba\u03ae\u03c2 \u03b3\u03bb\u03ce\u03c3\u03c3\u03b1\u03c2. \u03a9\u03c2 \u03c4\u03b5\u03bb\u03b9\u03ba\u03cc embedding \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03b5\u03af\u03c4\u03b1\u03b9 \u03c4\u03bf hidden state \u03c3\u03c4\u03b7 \u03b8\u03ad\u03c3\u03b7 end-of-sequence, \u03c7\u03c9\u03c1\u03af\u03c2 \u03c0\u03c1\u03cc\u03c3\u03b8\u03b5\u03c4\u03bf mean \u03ae CLS pooling.<\/p>\n<p>\u0397 \u03b5\u03ba\u03c0\u03b1\u03af\u03b4\u03b5\u03c5\u03c3\u03b7 \u03b5\u03c5\u03b8\u03c5\u03b3\u03c1\u03b1\u03bc\u03bc\u03af\u03b6\u03b5\u03b9 \u03b6\u03b5\u03cd\u03b3\u03b7 \u03bc\u03bf\u03c1\u03af\u03c9\u03bd \u03ba\u03b1\u03b9 \u03c0\u03b5\u03c1\u03b9\u03b3\u03c1\u03b1\u03c6\u03ce\u03bd \u03c3\u03c4\u03bf\u03bd \u03af\u03b4\u03b9\u03bf \u03c7\u03ce\u03c1\u03bf. \u0397 \u03bc\u03bf\u03c1\u03b9\u03b1\u03ba\u03ae \u03c0\u03bb\u03b5\u03c5\u03c1\u03ac \u03ba\u03b1\u03b9 \u03b7 \u03ba\u03b5\u03b9\u03bc\u03b5\u03bd\u03b9\u03ba\u03ae \u03c0\u03bb\u03b5\u03c5\u03c1\u03ac \u03c0\u03b5\u03c1\u03bd\u03bf\u03cd\u03bd \u03b1\u03c0\u03cc \u03c4\u03bf\u03bd \u03af\u03b4\u03b9\u03bf MLLM \u03ba\u03bf\u03c1\u03bc\u03cc \u03c3\u03b5 \u03c7\u03c9\u03c1\u03b9\u03c3\u03c4\u03ac forward passes. \u0388\u03bd\u03b1 \u03b1\u03bc\u03c6\u03af\u03b4\u03c1\u03bf\u03bc\u03bf contrastive objective \u03c4\u03cd\u03c0\u03bf\u03c5 InfoNCE \u03c6\u03ad\u03c1\u03bd\u03b5\u03b9 \u03ba\u03bf\u03bd\u03c4\u03ac \u03c4\u03bf \u03c3\u03c9\u03c3\u03c4\u03cc \u03b6\u03b5\u03cd\u03b3\u03bf\u03c2 \u03ba\u03b1\u03b9 \u03b1\u03c0\u03bf\u03bc\u03b1\u03ba\u03c1\u03cd\u03bd\u03b5\u03b9 \u03c4\u03b1 \u03bb\u03b1\u03bd\u03b8\u03b1\u03c3\u03bc\u03ad\u03bd\u03b1 \u03b6\u03b5\u03cd\u03b3\u03b7. \u0397 \u03b8\u03b5\u03c1\u03bc\u03bf\u03ba\u03c1\u03b1\u03c3\u03af\u03b1 \u03bf\u03c1\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c3\u03b5 0,07 \u03ba\u03b1\u03b9 \u03c4\u03b1 vectors \u03ba\u03b1\u03bd\u03bf\u03bd\u03b9\u03ba\u03bf\u03c0\u03bf\u03b9\u03bf\u03cd\u03bd\u03c4\u03b1\u03b9 \u03c0\u03c1\u03b9\u03bd \u03b1\u03c0\u03cc \u03c4\u03bf\u03bd \u03c5\u03c0\u03bf\u03bb\u03bf\u03b3\u03b9\u03c3\u03bc\u03cc cosine similarity.<\/p>\n<p>\u039f\u03b9 \u03b5\u03c1\u03b5\u03c5\u03bd\u03b7\u03c4\u03ad\u03c2 \u03b4\u03bf\u03ba\u03b9\u03bc\u03ac\u03b6\u03bf\u03c5\u03bd \u03c4\u03c1\u03b5\u03b9\u03c2 backbones: Intern-S1-mini 8B, Qwen3-VL-8B \u03ba\u03b1\u03b9 Qwen3.5-0.8B. \u0397 \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ae \u03b5\u03c0\u03b9\u03c4\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b5\u03be\u03b5\u03c4\u03b1\u03c3\u03c4\u03b5\u03af \u03c4\u03cc\u03c3\u03bf \u03ad\u03bd\u03b1 \u03b5\u03c0\u03b9\u03c3\u03c4\u03b7\u03bc\u03bf\u03bd\u03b9\u03ba\u03ac \u03c0\u03c1\u03bf\u03b5\u03ba\u03c0\u03b1\u03b9\u03b4\u03b5\u03c5\u03bc\u03ad\u03bd\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03cc\u03c3\u03bf \u03ba\u03b1\u03b9 \u03b3\u03b5\u03bd\u03b9\u03ba\u03cc\u03c4\u03b5\u03c1\u03b1 multimodal \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03b1 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03bf\u03cd \u03bc\u03b5\u03b3\u03ad\u03b8\u03bf\u03c5\u03c2. \u0397 \u03c0\u03c1\u03bf\u03c3\u03b1\u03c1\u03bc\u03bf\u03b3\u03ae \u03ad\u03b3\u03b9\u03bd\u03b5 \u03c3\u03b5 \u03bf\u03ba\u03c4\u03ce NVIDIA A100 GPUs, \u03bc\u03b5 LoRA \u03c3\u03c4\u03b1 \u03b3\u03bb\u03c9\u03c3\u03c3\u03b9\u03ba\u03ac \u03ba\u03b1\u03b9 \u03c3\u03c4\u03b1 \u03bf\u03c0\u03c4\u03b9\u03ba\u03ac components.<\/p>\n<h2 id=\"dedomena-efthygrammisis-poikilia\">\u03a4\u03b1 \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1 \u03b5\u03c5\u03b8\u03c5\u03b3\u03c1\u03ac\u03bc\u03bc\u03b9\u03c3\u03b7\u03c2 \u03ba\u03b1\u03b9 \u03b3\u03b9\u03b1\u03c4\u03af \u03b7 \u03c0\u03bf\u03b9\u03ba\u03b9\u03bb\u03af\u03b1 \u03c4\u03bf\u03c5\u03c2 \u03bc\u03b5\u03c4\u03c1\u03ac<\/h2>\n<p>\u0397 \u03b2\u03b1\u03c3\u03b9\u03ba\u03ae molecule-text \u03b5\u03c5\u03b8\u03c5\u03b3\u03c1\u03ac\u03bc\u03bc\u03b9\u03c3\u03b7 \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03b5\u03af \u03c4\u03c1\u03b5\u03b9\u03c2 \u03c0\u03b7\u03b3\u03ad\u03c2: MolTextNet, KnowMol-100k \u03ba\u03b1\u03b9 ChEBI-20-MM. \u0397 \u03c3\u03c5\u03bd\u03b8\u03ae\u03ba\u03b7 MolTextNet \u03b2\u03b1\u03c3\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c3\u03b5 corpus \u03c0\u03b5\u03c1\u03b9\u03b3\u03c1\u03b1\u03c6\u03ce\u03bd \u03bc\u03af\u03b1\u03c2 \u03ba\u03cd\u03c1\u03b9\u03b1\u03c2 \u03c0\u03c1\u03bf\u03ad\u03bb\u03b5\u03c5\u03c3\u03b7\u03c2. \u0397 \u03c3\u03c5\u03bd\u03b8\u03ae\u03ba\u03b7 Mixed \u03b5\u03bd\u03ce\u03bd\u03b5\u03b9 \u03c4\u03b9\u03c2 \u03c4\u03c1\u03b5\u03b9\u03c2 \u03c0\u03b7\u03b3\u03ad\u03c2 \u03ce\u03c3\u03c4\u03b5 \u03bd\u03b1 \u03c0\u03c1\u03bf\u03c3\u03b8\u03ad\u03c3\u03b5\u03b9 \u03bf\u03bd\u03cc\u03bc\u03b1\u03c4\u03b1, \u03bb\u03b5\u03b9\u03c4\u03bf\u03c5\u03c1\u03b3\u03b9\u03ba\u03ad\u03c2 \u03bf\u03bc\u03ac\u03b4\u03b5\u03c2, \u03bf\u03bd\u03c4\u03bf\u03bb\u03bf\u03b3\u03b9\u03ba\u03bf\u03cd \u03c4\u03cd\u03c0\u03bf\u03c5 \u03bf\u03c1\u03b9\u03c3\u03bc\u03bf\u03cd\u03c2 \u03ba\u03b1\u03b9 \u03c6\u03c5\u03c3\u03b9\u03ba\u03bf\u03c7\u03b7\u03bc\u03b9\u03ba\u03ac \u03c3\u03c4\u03bf\u03b9\u03c7\u03b5\u03af\u03b1.<\/p>\n<p>\u039c\u03b5\u03c4\u03ac \u03c4\u03bf\u03bd \u03c0\u03b1\u03b3\u03ba\u03cc\u03c3\u03bc\u03b9\u03bf \u03ad\u03bb\u03b5\u03b3\u03c7\u03bf canonical SMILES, \u03c4\u03bf Mixed \u03c3\u03cd\u03bd\u03bf\u03bb\u03bf \u03c0\u03b5\u03c1\u03b9\u03bb\u03b1\u03bc\u03b2\u03ac\u03bd\u03b5\u03b9 411.709 \u03b6\u03b5\u03cd\u03b3\u03b7 \u03b5\u03ba\u03c0\u03b1\u03af\u03b4\u03b5\u03c5\u03c3\u03b7\u03c2, 4.149 validation \u03ba\u03b1\u03b9 4.165 test. \u0397 \u03ad\u03bd\u03c9\u03c3\u03b7 \u03b1\u03c6\u03b1\u03af\u03c1\u03b5\u03c3\u03b5 5.041 \u03b4\u03b9\u03c0\u03bb\u03cc\u03c4\u03c5\u03c0\u03b1 \u03b6\u03b5\u03cd\u03b3\u03b7. \u039f\u03b9 \u03b1\u03c1\u03b9\u03b8\u03bc\u03bf\u03af \u03b5\u03af\u03bd\u03b1\u03b9 \u03c3\u03b7\u03bc\u03b1\u03bd\u03c4\u03b9\u03ba\u03bf\u03af \u03cc\u03c7\u03b9 \u03b3\u03b9\u03b1 \u03bd\u03b1 \u03c0\u03b1\u03c1\u03bf\u03c5\u03c3\u03b9\u03b1\u03c3\u03c4\u03b5\u03af \u03b7 \u03ba\u03bb\u03af\u03bc\u03b1\u03ba\u03b1 \u03c9\u03c2 \u03b1\u03c5\u03c4\u03bf\u03c3\u03ba\u03bf\u03c0\u03cc\u03c2, \u03b1\u03bb\u03bb\u03ac \u03b5\u03c0\u03b5\u03b9\u03b4\u03ae \u03b7 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7 \u03ba\u03b1\u03c4\u03b1\u03bb\u03ae\u03b3\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03b7 \u03ba\u03ac\u03bb\u03c5\u03c8\u03b7 \u03c4\u03c9\u03bd \u03b5\u03c0\u03b9\u03c3\u03c4\u03b7\u03bc\u03bf\u03bd\u03b9\u03ba\u03ce\u03bd contexts \u03ad\u03c7\u03b5\u03b9 \u03bc\u03b5\u03b3\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03b7 \u03c3\u03b7\u03bc\u03b1\u03c3\u03af\u03b1 \u03b1\u03c0\u03cc \u03c4\u03b7\u03bd \u03b1\u03c0\u03bb\u03ae \u03c0\u03c1\u03bf\u03c3\u03b8\u03ae\u03ba\u03b7 \u03c0\u03b5\u03c1\u03b9\u03c3\u03c3\u03cc\u03c4\u03b5\u03c1\u03c9\u03bd \u03c0\u03b1\u03c1\u03cc\u03bc\u03bf\u03b9\u03c9\u03bd \u03c0\u03b5\u03c1\u03b9\u03b3\u03c1\u03b1\u03c6\u03ce\u03bd.<\/p>\n<p>\u03a3\u03c4\u03b9\u03c2 \u03b4\u03bf\u03ba\u03b9\u03bc\u03ad\u03c2 \u03b9\u03b4\u03b9\u03bf\u03c4\u03ae\u03c4\u03c9\u03bd, \u03b7 Mixed \u03b5\u03c5\u03b8\u03c5\u03b3\u03c1\u03ac\u03bc\u03bc\u03b9\u03c3\u03b7 \u03b2\u03b5\u03bb\u03c4\u03b9\u03ce\u03bd\u03b5\u03b9 \u03bf\u03c1\u03b9\u03c3\u03bc\u03ad\u03bd\u03b1 endpoints, \u03b9\u03b4\u03b9\u03b1\u03af\u03c4\u03b5\u03c1\u03b1 ESOL \u03ba\u03b1\u03b9 Tox21, \u03cc\u03bc\u03c9\u03c2 \u03b4\u03b5\u03bd \u03ba\u03b5\u03c1\u03b4\u03af\u03b6\u03b5\u03b9 \u03c0\u03b1\u03bd\u03c4\u03bf\u03cd. \u03a4\u03bf MolTextNet \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03bd\u03b5\u03b9 \u03b9\u03c3\u03c7\u03c5\u03c1\u03cc\u03c4\u03b5\u03c1\u03bf \u03c3\u03b5 \u03ac\u03bb\u03bb\u03b5\u03c2 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b5\u03c2. \u0391\u03c5\u03c4\u03cc \u03b5\u03bc\u03c0\u03bf\u03b4\u03af\u03b6\u03b5\u03b9 \u03bc\u03b9\u03b1 \u03c5\u03c0\u03b5\u03c1\u03b1\u03c0\u03bb\u03bf\u03c5\u03c3\u03c4\u03b5\u03c5\u03bc\u03ad\u03bd\u03b7 \u03b1\u03bd\u03ac\u03b3\u03bd\u03c9\u03c3\u03b7 \u03c4\u03bf\u03c5 \u03c4\u03cd\u03c0\u03bf\u03c5 \u00ab\u03c0\u03b5\u03c1\u03b9\u03c3\u03c3\u03cc\u03c4\u03b5\u03c1\u03b1 datasets \u03c3\u03b7\u03bc\u03b1\u03af\u03bd\u03bf\u03c5\u03bd \u03c0\u03ac\u03bd\u03c4\u03b1 \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf\u00bb. \u0397 \u03c3\u03cd\u03bd\u03b8\u03b5\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03b7 \u03c3\u03b7\u03bc\u03b1\u03c3\u03b9\u03bf\u03bb\u03bf\u03b3\u03b9\u03ba\u03ae \u03c0\u03bf\u03b9\u03ba\u03b9\u03bb\u03af\u03b1 \u03c4\u03b7\u03c2 \u03b5\u03c0\u03af\u03b2\u03bb\u03b5\u03c8\u03b7\u03c2 \u03ba\u03b1\u03b8\u03bf\u03c1\u03af\u03b6\u03bf\u03c5\u03bd \u03c0\u03bf\u03b9\u03b1 \u03b3\u03bd\u03ce\u03c3\u03b7 \u03bc\u03b5\u03c4\u03b1\u03c6\u03ad\u03c1\u03b5\u03c4\u03b1\u03b9.<\/p>\n<div class=\"td-note\">\n<p class=\"td-note-title\">\u0393\u03b9\u03b1\u03c4\u03af \u03b7 \u03c0\u03bf\u03b9\u03ba\u03b9\u03bb\u03af\u03b1 \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03c0\u03bb\u03cc volume<\/p>\n<p>\u0388\u03bd\u03b1 \u03bc\u03b5\u03b3\u03ac\u03bb\u03bf corpus \u03bc\u03b5 \u03b5\u03c0\u03b1\u03bd\u03b1\u03bb\u03b1\u03bc\u03b2\u03b1\u03bd\u03cc\u03bc\u03b5\u03bd\u03b5\u03c2 \u03c0\u03b5\u03c1\u03b9\u03b3\u03c1\u03b1\u03c6\u03ad\u03c2 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b5\u03bd\u03b9\u03c3\u03c7\u03cd\u03c3\u03b5\u03b9 \u03c4\u03b7\u03bd \u03b1\u03bd\u03b1\u03b3\u03bd\u03ce\u03c1\u03b9\u03c3\u03b7 \u03c7\u03c9\u03c1\u03af\u03c2 \u03bd\u03b1 \u03b4\u03b9\u03b4\u03ac\u03be\u03b5\u03b9 context routing. \u0397 \u03c3\u03c9\u03c3\u03c4\u03ae \u03b5\u03c1\u03ce\u03c4\u03b7\u03c3\u03b7 \u03b3\u03b9\u03b1 \u03ad\u03bd\u03b1 \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03c3\u03b9\u03b1\u03ba\u03cc retrieval system \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03bd \u03c4\u03b1 \u03c0\u03b1\u03c1\u03b1\u03b4\u03b5\u03af\u03b3\u03bc\u03b1\u03c4\u03b1 \u03ba\u03b1\u03bb\u03cd\u03c0\u03c4\u03bf\u03c5\u03bd \u03c4\u03b9\u03c2 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ad\u03c2 \u03c0\u03c1\u03bf\u03b8\u03ad\u03c3\u03b5\u03b9\u03c2 \u03c7\u03c1\u03ae\u03c3\u03b7\u03c2, \u03cc\u03c7\u03b9 \u03bc\u03cc\u03bd\u03bf \u03b1\u03bd \u03bf \u03c3\u03c5\u03bd\u03bf\u03bb\u03b9\u03ba\u03cc\u03c2 \u03b1\u03c1\u03b9\u03b8\u03bc\u03cc\u03c2 \u03c4\u03bf\u03c5\u03c2 \u03b5\u03af\u03bd\u03b1\u03b9 \u03bc\u03b5\u03b3\u03ac\u03bb\u03bf\u03c2.<\/p>\n<\/div>\n<h2 id=\"provlepsi-moriakon-idiotiton\">\u03a0\u03c1\u03cc\u03b2\u03bb\u03b5\u03c8\u03b7 \u03bc\u03bf\u03c1\u03b9\u03b1\u03ba\u03ce\u03bd \u03b9\u03b4\u03b9\u03bf\u03c4\u03ae\u03c4\u03c9\u03bd \u03c3\u03b5 \u03bf\u03ba\u03c4\u03ce benchmarks<\/h2>\n<p>\u0397 \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7 \u03ba\u03b1\u03bb\u03cd\u03c0\u03c4\u03b5\u03b9 \u03c4\u03c1\u03af\u03b1 regression benchmarks, ESOL, Lipophilicity \u03ba\u03b1\u03b9 FreeSolv, \u03ba\u03b1\u03b9 \u03c0\u03ad\u03bd\u03c4\u03b5 classification benchmarks: BACE, BBBP, ClinTox, Tox21 \u03ba\u03b1\u03b9 SIDER. \u0393\u03b9\u03b1 regression \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03b5\u03af\u03c4\u03b1\u03b9 RMSE, \u03cc\u03c0\u03bf\u03c5 \u03bc\u03b9\u03ba\u03c1\u03cc\u03c4\u03b5\u03c1\u03b7 \u03c4\u03b9\u03bc\u03ae \u03b5\u03af\u03bd\u03b1\u03b9 \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03b7. \u0393\u03b9\u03b1 classification \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03b5\u03af\u03c4\u03b1\u03b9 ROC-AUC, \u03bc\u03b5 macro averaging \u03c3\u03c4\u03b1 multi-label \u03c3\u03cd\u03bd\u03bf\u03bb\u03b1 Tox21 \u03ba\u03b1\u03b9 SIDER.<\/p>\n<p>\u0397 \u03ac\u03bc\u03b5\u03c3\u03b7 \u03c0\u03c1\u03bf\u03c3\u03b1\u03c1\u03bc\u03bf\u03b3\u03ae \u03c4\u03c9\u03bd MLLMs, \u03c7\u03c9\u03c1\u03af\u03c2 \u03c0\u03c1\u03bf\u03b7\u03b3\u03bf\u03cd\u03bc\u03b5\u03bd\u03b7 molecule-text alignment, \u03c6\u03c4\u03ac\u03bd\u03b5\u03b9 \u03ae\u03b4\u03b7 \u03c3\u03c4\u03bf \u03b5\u03cd\u03c1\u03bf\u03c2 \u03b1\u03c1\u03ba\u03b5\u03c4\u03ce\u03bd pretrained graph \u03bc\u03b5\u03b8\u03cc\u03b4\u03c9\u03bd, \u03b5\u03b9\u03b4\u03b9\u03ba\u03ac \u03c3\u03c4\u03b1 regression tasks. \u0393\u03b9\u03b1 \u03c0\u03b1\u03c1\u03ac\u03b4\u03b5\u03b9\u03b3\u03bc\u03b1, \u03c4\u03bf Intern-S1-mini Direct \u03ba\u03b1\u03c4\u03b1\u03b3\u03c1\u03ac\u03c6\u03b5\u03b9 RMSE 0,827 \u03c3\u03c4\u03bf ESOL \u03ba\u03b1\u03b9 1,839 \u03c3\u03c4\u03bf FreeSolv, \u03b5\u03bd\u03ce \u03c3\u03c4\u03bf ClinTox \u03ba\u03b1\u03c4\u03b1\u03b3\u03c1\u03ac\u03c6\u03b5\u03b9 ROC-AUC 99,51%. \u0391\u03c5\u03c4\u03ac \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03ad\u03c3\u03bc\u03b1\u03c4\u03b1 \u03c4\u03bf\u03c5 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03bf\u03c5 \u03c0\u03c1\u03c9\u03c4\u03bf\u03ba\u03cc\u03bb\u03bb\u03bf\u03c5 \u03ba\u03b1\u03b9 \u03cc\u03c7\u03b9 \u03b1\u03c0\u03cc\u03b4\u03b5\u03b9\u03be\u03b7 \u03cc\u03c4\u03b9 \u03ad\u03bd\u03b1 MLLM \u03c5\u03c0\u03b5\u03c1\u03ad\u03c7\u03b5\u03b9 \u03b3\u03b5\u03bd\u03b9\u03ba\u03ac \u03c3\u03b5 \u03ba\u03ac\u03b8\u03b5 \u03c0\u03b5\u03c1\u03b9\u03b2\u03ac\u03bb\u03bb\u03bf\u03bd.<\/p>\n<p>\u03a4\u03bf \u03c0\u03b9\u03bf \u03c0\u03c1\u03bf\u03c3\u03b5\u03ba\u03c4\u03b9\u03ba\u03cc \u03c3\u03c5\u03bc\u03c0\u03ad\u03c1\u03b1\u03c3\u03bc\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03cc\u03c4\u03b9 \u03c4\u03bf multimodal interface \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b2\u03b5\u03bb\u03c4\u03b9\u03c3\u03c4\u03bf\u03c0\u03bf\u03b9\u03b7\u03b8\u03b5\u03af \u03b3\u03b9\u03b1 \u03bc\u03bf\u03c1\u03b9\u03b1\u03ba\u03ae \u03c0\u03c1\u03cc\u03b2\u03bb\u03b5\u03c8\u03b7. \u0397 \u03b1\u03c6\u03b1\u03af\u03c1\u03b5\u03c3\u03b7 \u03c4\u03b7\u03c2 2D \u03b5\u03b9\u03ba\u03cc\u03bd\u03b1\u03c2 \u03bf\u03b4\u03b7\u03b3\u03b5\u03af \u03c3\u03b5 \u03bc\u03b9\u03ba\u03c1\u03ad\u03c2 \u03b1\u03bb\u03bb\u03ac \u03c3\u03c5\u03bd\u03b5\u03c0\u03b5\u03af\u03c2 \u03b1\u03c0\u03ce\u03bb\u03b5\u03b9\u03b5\u03c2 \u03c3\u03c4\u03b9\u03c2 \u03c0\u03b5\u03c1\u03b9\u03c3\u03c3\u03cc\u03c4\u03b5\u03c1\u03b5\u03c2 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b5\u03c2, \u03ac\u03c1\u03b1 \u03b7 \u03bf\u03c0\u03c4\u03b9\u03ba\u03ae \u03cc\u03c8\u03b7 \u03c0\u03c1\u03bf\u03c3\u03b8\u03ad\u03c4\u03b5\u03b9 \u03c0\u03bb\u03b7\u03c1\u03bf\u03c6\u03bf\u03c1\u03af\u03b1 \u03c0\u03ad\u03c1\u03b1 \u03b1\u03c0\u03cc \u03c4\u03bf SMILES. \u03a0\u03b1\u03c1\u2019 \u03cc\u03bb\u03b1 \u03b1\u03c5\u03c4\u03ac, \u03b7 \u03c0\u03c1\u03cc\u03b2\u03bb\u03b5\u03c8\u03b7 \u03bc\u03b5 task-specific head \u03b4\u03b5\u03bd \u03b1\u03c1\u03ba\u03b5\u03af \u03b3\u03b9\u03b1 \u03bd\u03b1 \u03b1\u03c0\u03bf\u03b4\u03b5\u03af\u03be\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03ad\u03c7\u03bf\u03c5\u03bc\u03b5 \u03ad\u03bd\u03b1 \u03b5\u03c0\u03b1\u03bd\u03b1\u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03ae\u03c3\u03b9\u03bc\u03bf embedding model.<\/p>\n<h2 id=\"molecule-text-retrieval\">\u03a4\u03bf \u03ba\u03c1\u03af\u03c3\u03b9\u03bc\u03bf \u03c4\u03b5\u03c3\u03c4: molecule-text retrieval<\/h2>\n<p>\u0393\u03b9\u03b1 \u03bd\u03b1 \u03b5\u03bb\u03ad\u03b3\u03be\u03bf\u03c5\u03bd \u03b1\u03bd \u03bf \u03c7\u03ce\u03c1\u03bf\u03c2 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ac \u03ba\u03bf\u03b9\u03bd\u03cc\u03c2 \u03b3\u03b9\u03b1 \u03bc\u03cc\u03c1\u03b9\u03b1 \u03ba\u03b1\u03b9 \u03ba\u03b5\u03af\u03bc\u03b5\u03bd\u03bf, \u03bf\u03b9 \u03c3\u03c5\u03b3\u03b3\u03c1\u03b1\u03c6\u03b5\u03af\u03c2 \u03b5\u03ba\u03c4\u03b5\u03bb\u03bf\u03cd\u03bd \u03b1\u03bd\u03ac\u03ba\u03c4\u03b7\u03c3\u03b7 molecule-to-text \u03ba\u03b1\u03b9 text-to-molecule \u03c3\u03b5 2.970 held-out \u03b6\u03b5\u03cd\u03b3\u03b7 MolTextNet. \u03a4\u03bf \u03c4\u03c5\u03c7\u03b1\u03af\u03bf R@1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c0\u03b5\u03c1\u03af\u03c0\u03bf\u03c5 0,034%. \u0388\u03bd\u03b1 off-the-shelf Qwen3-VL-Embedding-8B \u03c0\u03b5\u03c4\u03c5\u03c7\u03b1\u03af\u03bd\u03b5\u03b9 \u03c0\u03b5\u03c1\u03af\u03c0\u03bf\u03c5 3% R@1 \u03ba\u03b1\u03b9 \u03c3\u03c4\u03b9\u03c2 \u03b4\u03cd\u03bf \u03ba\u03b1\u03c4\u03b5\u03c5\u03b8\u03cd\u03bd\u03c3\u03b5\u03b9\u03c2, \u03ad\u03bd\u03b4\u03b5\u03b9\u03be\u03b7 \u03cc\u03c4\u03b9 \u03ad\u03bd\u03b1 \u03b3\u03b5\u03bd\u03b9\u03ba\u03cc multimodal embedding \u03b4\u03b5\u03bd \u03ad\u03c7\u03b5\u03b9 \u03b1\u03c0\u03cc \u03bc\u03cc\u03bd\u03bf \u03c4\u03bf\u03c5 \u03b1\u03be\u03b9\u03cc\u03c0\u03b9\u03c3\u03c4\u03bf \u03c7\u03b7\u03bc\u03b9\u03ba\u03cc \u03c7\u03ce\u03c1\u03bf.<\/p>\n<p>\u039c\u03b5\u03c4\u03ac \u03c4\u03b7\u03bd contrastive \u03b5\u03c5\u03b8\u03c5\u03b3\u03c1\u03ac\u03bc\u03bc\u03b9\u03c3\u03b7, \u03cc\u03bb\u03b1 \u03c4\u03b1 MolEmb backbones \u03be\u03b5\u03c0\u03b5\u03c1\u03bd\u03bf\u03cd\u03bd \u03c4\u03bf 73% R@1 \u03ba\u03b1\u03b9 \u03c3\u03c4\u03b9\u03c2 \u03b4\u03cd\u03bf \u03ba\u03b1\u03c4\u03b5\u03c5\u03b8\u03cd\u03bd\u03c3\u03b5\u03b9\u03c2. \u03a4\u03bf Intern-S1-mini \u03c6\u03c4\u03ac\u03bd\u03b5\u03b9 85,39% \u03b3\u03b9\u03b1 molecule-to-text \u03ba\u03b1\u03b9 84,88% \u03b3\u03b9\u03b1 text-to-molecule, \u03b5\u03bd\u03ce \u03c4\u03bf Qwen3.5-0.8B \u03c6\u03c4\u03ac\u03bd\u03b5\u03b9 \u03b1\u03bd\u03c4\u03af\u03c3\u03c4\u03bf\u03b9\u03c7\u03b1 83,97% \u03ba\u03b1\u03b9 84,58%. \u03a4\u03bf \u03b5\u03c0\u03b9\u03c3\u03c4\u03b7\u03bc\u03bf\u03bd\u03b9\u03ba\u03ac \u03c0\u03c1\u03bf\u03b5\u03ba\u03c0\u03b1\u03b9\u03b4\u03b5\u03c5\u03bc\u03ad\u03bd\u03bf Intern-S1-mini \u03ba\u03b1\u03c4\u03b1\u03b3\u03c1\u03ac\u03c6\u03b5\u03b9 \u03c4\u03b7\u03bd \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03b7 \u03b5\u03c0\u03af\u03b4\u03bf\u03c3\u03b7 R@1 \u03bc\u03b5\u03c4\u03b1\u03be\u03cd \u03c4\u03c9\u03bd \u03c4\u03c1\u03b9\u03ce\u03bd backbones.<\/p>\n<p>\u0397 \u03c3\u03cd\u03b3\u03ba\u03c1\u03b9\u03c3\u03b7 \u03b4\u03b5\u03af\u03c7\u03bd\u03b5\u03b9 \u03b3\u03b9\u03b1\u03c4\u03af \u03b4\u03b5\u03bd \u03b1\u03c1\u03ba\u03b5\u03af \u03bd\u03b1 \u03b1\u03b3\u03bf\u03c1\u03ac\u03c3\u03b5\u03b9 \u03ba\u03b1\u03bd\u03b5\u03af\u03c2 \u03ad\u03bd\u03b1 \u00ab\u03b3\u03b5\u03bd\u03b9\u03ba\u03cc embedding API\u00bb \u03ba\u03b1\u03b9 \u03bd\u03b1 \u03c5\u03c0\u03bf\u03b8\u03ad\u03c3\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03b8\u03b1 \u03bb\u03b5\u03b9\u03c4\u03bf\u03c5\u03c1\u03b3\u03ae\u03c3\u03b5\u03b9 \u03c3\u03b5 \u03b5\u03be\u03b5\u03b9\u03b4\u03b9\u03ba\u03b5\u03c5\u03bc\u03ad\u03bd\u03b7 \u03b5\u03c0\u03b9\u03c3\u03c4\u03b7\u03bc\u03bf\u03bd\u03b9\u03ba\u03ae \u03c0\u03b5\u03c1\u03b9\u03bf\u03c7\u03ae. \u03a4\u03bf backbone \u03c0\u03b1\u03c1\u03ad\u03c7\u03b5\u03b9 \u03b4\u03c5\u03bd\u03b1\u03c4\u03cc\u03c4\u03b7\u03c4\u03b5\u03c2 \u03ba\u03b1\u03b9 \u03ba\u03bf\u03b9\u03bd\u03cc interface, \u03b1\u03bb\u03bb\u03ac \u03bf \u03b1\u03be\u03b9\u03cc\u03c0\u03b9\u03c3\u03c4\u03bf\u03c2 domain space \u03c0\u03c1\u03bf\u03ba\u03cd\u03c0\u03c4\u03b5\u03b9 \u03b1\u03c0\u03cc \u03c3\u03c4\u03bf\u03c7\u03b5\u03c5\u03bc\u03ad\u03bd\u03b7 \u03b5\u03c5\u03b8\u03c5\u03b3\u03c1\u03ac\u03bc\u03bc\u03b9\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03b1\u03c0\u03cc \u03b5\u03bb\u03ad\u03b3\u03c7\u03bf\u03c5\u03c2 \u03c3\u03b5 \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1 \u03c0\u03bf\u03c5 \u03b1\u03bd\u03c4\u03b9\u03c0\u03c1\u03bf\u03c3\u03c9\u03c0\u03b5\u03cd\u03bf\u03c5\u03bd \u03c4\u03b7\u03bd \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae \u03c7\u03c1\u03ae\u03c3\u03b7. \u03a4\u03bf \u03af\u03b4\u03b9\u03bf \u03c3\u03ba\u03b5\u03c0\u03c4\u03b9\u03ba\u03cc \u03b9\u03c3\u03c7\u03cd\u03b5\u03b9 \u03cc\u03c4\u03b1\u03bd \u03c3\u03c7\u03b5\u03b4\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 <a href=\"https:\/\/twodots.gr\/hybrid-ai-search-papers-with-code\/\">hybrid AI search \u03bc\u03b5 \u03bb\u03ad\u03be\u03b5\u03b9\u03c2, embeddings \u03ba\u03b1\u03b9 fallbacks<\/a>.<\/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\u03b9\u03c2 \u03bc\u03b5\u03c4\u03c1\u03ae\u03c3\u03b5\u03b9\u03c2 \u03c0\u03bf\u03c5 \u03b5\u03be\u03b7\u03b3\u03bf\u03cd\u03bd \u03c4\u03bf \u03ac\u03bb\u03bc\u03b1 \u03c4\u03bf\u03c5 MolEmb<\/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 \u03c4\u03bf \u03c0\u03c1\u03c9\u03c4\u03cc\u03ba\u03bf\u03bb\u03bb\u03bf \u03c4\u03b7\u03c2 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1\u03c2 \u03ba\u03b1\u03b9 \u03b4\u03b5\u03bd \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03bf\u03cd\u03bd \u03b3\u03b5\u03bd\u03b9\u03ba\u03ae \u03b1\u03ba\u03c1\u03af\u03b2\u03b5\u03b9\u03b1 \u03b3\u03b9\u03b1 drug discovery.<\/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\">2.970<\/span><span class=\"td-metric-label\">held-out \u03b6\u03b5\u03cd\u03b3\u03b7<\/span><span class=\"td-metric-note\">MolTextNet retrieval test<\/span><\/div>\n<div class=\"td-metric-card\"><span class=\"td-metric-value\">85,39%<\/span><span class=\"td-metric-label\">molecule-to-text R@1<\/span><span class=\"td-metric-note\">Intern-S1-mini \u03bc\u03b5\u03c4\u03ac \u03c4\u03b7\u03bd \u03b5\u03c5\u03b8\u03c5\u03b3\u03c1\u03ac\u03bc\u03bc\u03b9\u03c3\u03b7<\/span><\/div>\n<div class=\"td-metric-card\"><span class=\"td-metric-value\">84,88%<\/span><span class=\"td-metric-label\">text-to-molecule R@1<\/span><span class=\"td-metric-note\">Intern-S1-mini \u03bc\u03b5\u03c4\u03ac \u03c4\u03b7\u03bd \u03b5\u03c5\u03b8\u03c5\u03b3\u03c1\u03ac\u03bc\u03bc\u03b9\u03c3\u03b7<\/span><\/div>\n<div class=\"td-metric-card\"><span class=\"td-metric-value\">99,8%<\/span><span class=\"td-metric-label\">Context R@1<\/span><span class=\"td-metric-note\">MolCAR-Structured \u03bc\u03b5\u03c4\u03ac \u03c4\u03bf continued alignment<\/span><\/div>\n<\/div>\n<\/div>\n<\/div>\n<h2 id=\"molcar-polla-contexts\">MolCAR: \u03cc\u03c4\u03b1\u03bd \u03c4\u03bf \u03af\u03b4\u03b9\u03bf \u03bc\u03cc\u03c1\u03b9\u03bf \u03ad\u03c7\u03b5\u03b9 \u03c0\u03bf\u03bb\u03bb\u03ad\u03c2 \u03c3\u03c9\u03c3\u03c4\u03ad\u03c2 \u03b1\u03c0\u03b1\u03bd\u03c4\u03ae\u03c3\u03b5\u03b9\u03c2<\/h2>\n<p>\u03a4\u03bf benchmark MolCAR \u03b1\u03c0\u03bf\u03bc\u03bf\u03bd\u03ce\u03bd\u03b5\u03b9 \u03bc\u03b9\u03b1 \u03b4\u03c5\u03c3\u03ba\u03bf\u03bb\u03cc\u03c4\u03b5\u03c1\u03b7 \u03b5\u03c1\u03ce\u03c4\u03b7\u03c3\u03b7: \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03c4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03bd\u03b1 \u03b5\u03c0\u03b9\u03bb\u03ad\u03be\u03b5\u03b9 \u03c4\u03b7 \u03c3\u03c9\u03c3\u03c4\u03ae \u03c0\u03bb\u03b7\u03c1\u03bf\u03c6\u03bf\u03c1\u03af\u03b1 \u03b3\u03b9\u03b1 \u03c4\u03bf \u03af\u03b4\u03b9\u03bf \u03bc\u03cc\u03c1\u03b9\u03bf \u03cc\u03c4\u03b1\u03bd \u03b1\u03bb\u03bb\u03ac\u03b6\u03b5\u03b9 \u03bc\u03cc\u03bd\u03bf \u03b7 \u03bf\u03b4\u03b7\u03b3\u03af\u03b1; \u039a\u03ac\u03b8\u03b5 target document \u03c3\u03c5\u03bd\u03b4\u03ad\u03b5\u03b9 \u03ad\u03bd\u03b1 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc experimental outcome \u03b1\u03c0\u03cc \u03bc\u03af\u03b1 \u03b1\u03c0\u03cc \u03bf\u03ba\u03c4\u03ce \u03bf\u03b9\u03ba\u03bf\u03b3\u03ad\u03bd\u03b5\u03b9\u03b5\u03c2 \u03b5\u03c1\u03b3\u03b1\u03c3\u03b9\u03ce\u03bd \u03bc\u03b5 \u03c4\u03bf \u03af\u03b4\u03b9\u03bf \u03bc\u03bf\u03c1\u03b9\u03b1\u03ba\u03cc \u03c0\u03c1\u03bf\u03c6\u03af\u03bb. \u0388\u03c4\u03c3\u03b9, \u03c4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03b4\u03b5\u03bd \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03ba\u03b5\u03c1\u03b4\u03af\u03c3\u03b5\u03b9 \u03b1\u03c0\u03bb\u03ce\u03c2 \u03b1\u03bd\u03b1\u03b3\u03bd\u03c9\u03c1\u03af\u03b6\u03bf\u03bd\u03c4\u03b1\u03c2 \u03c4\u03bf \u03bc\u03cc\u03c1\u03b9\u03bf. \u03a0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b4\u03b9\u03b1\u03ba\u03c1\u03af\u03bd\u03b5\u03b9 \u03c4\u03bf\u03bd \u03b5\u03c0\u03b9\u03c3\u03c4\u03b7\u03bc\u03bf\u03bd\u03b9\u03ba\u03cc \u03c6\u03b1\u03ba\u03cc.<\/p>\n<p>\u03a4\u03bf MolCAR-Structured \u03b4\u03b7\u03bc\u03b9\u03bf\u03c5\u03c1\u03b3\u03b5\u03af deterministically \u03ba\u03ac\u03c1\u03c4\u03b5\u03c2 \u03b1\u03c0\u03cc \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ac labels \u03ba\u03b1\u03b9 molecular descriptors. \u03a4\u03bf evaluation \u03ad\u03c7\u03b5\u03b9 4.092 molecule-context pairs \u03c0\u03ac\u03bd\u03c9 \u03c3\u03b5 1.653 held-out \u03bc\u03cc\u03c1\u03b9\u03b1. \u03a4\u03bf MolCAR-Natural \u03b1\u03bd\u03c4\u03b9\u03ba\u03b1\u03b8\u03b9\u03c3\u03c4\u03ac \u03c4\u03b9\u03c2 \u03b4\u03bf\u03bc\u03b7\u03bc\u03ad\u03bd\u03b5\u03c2 \u03ba\u03ac\u03c1\u03c4\u03b5\u03c2 \u03bc\u03b5 \u03b5\u03c0\u03b9\u03c3\u03c4\u03b7\u03bc\u03bf\u03bd\u03b9\u03ba\u03bf\u03cd \u03cd\u03c6\u03bf\u03c5\u03c2 \u03c3\u03b7\u03bc\u03b5\u03b9\u03ce\u03c3\u03b5\u03b9\u03c2 \u03c0\u03bf\u03c5 \u03c0\u03b1\u03c1\u03ac\u03b3\u03bf\u03bd\u03c4\u03b1\u03b9 \u03b1\u03c0\u03cc Intern-S1 235B, \u03b1\u03bb\u03bb\u03ac \u03b5\u03c0\u03b1\u03bd\u03b1\u03c3\u03c5\u03bd\u03b4\u03ad\u03b5\u03b9 \u03c4\u03b1 \u03b5\u03c0\u03b1\u03bb\u03b7\u03b8\u03b5\u03c5\u03bc\u03ad\u03bd\u03b1 observed results \u03ba\u03b1\u03b9 \u03c4\u03bf molecular profile \u03ce\u03c3\u03c4\u03b5 \u03bd\u03b1 \u03b4\u03b9\u03b1\u03c4\u03b7\u03c1\u03b7\u03b8\u03b5\u03af \u03c4\u03bf ground truth.<\/p>\n<p>\u039f\u03b9 \u03bf\u03ba\u03c4\u03ce \u03c6\u03b1\u03ba\u03bf\u03af \u03c0\u03b5\u03c1\u03b9\u03bb\u03b1\u03bc\u03b2\u03ac\u03bd\u03bf\u03c5\u03bd BACE-1 inhibition, \u03b4\u03b9\u03ad\u03bb\u03b5\u03c5\u03c3\u03b7 \u03b1\u03b9\u03bc\u03b1\u03c4\u03bf\u03b5\u03b3\u03ba\u03b5\u03c6\u03b1\u03bb\u03b9\u03ba\u03bf\u03cd \u03c6\u03c1\u03b1\u03b3\u03bc\u03bf\u03cd, \u03c5\u03b4\u03b1\u03c4\u03bf\u03b4\u03b9\u03b1\u03bb\u03c5\u03c4\u03cc\u03c4\u03b7\u03c4\u03b1, hydration free energy, lipophilicity, Tox21 toxicity outcomes, clinical toxicity \u03ba\u03b1\u03b9 side-effect profile. \u0397 \u03ba\u03cd\u03c1\u03b9\u03b1 \u03bc\u03b5\u03c4\u03c1\u03b9\u03ba\u03ae Context R@1 \u03b5\u03be\u03b5\u03c4\u03ac\u03b6\u03b5\u03b9 \u03b1\u03bd \u03c4\u03bf \u03c3\u03c9\u03c3\u03c4\u03cc context \u03ba\u03b1\u03c4\u03b1\u03c4\u03ac\u03c3\u03c3\u03b5\u03c4\u03b1\u03b9 \u03c0\u03c1\u03ce\u03c4\u03bf \u03bc\u03ad\u03c3\u03b1 \u03c3\u03c4\u03b1 \u03ad\u03b3\u03b3\u03c1\u03b1\u03c6\u03b1 \u03c4\u03bf\u03c5 \u03af\u03b4\u03b9\u03bf\u03c5 \u03bc\u03bf\u03c1\u03af\u03bf\u03c5, \u03b1\u03c6\u03b1\u03b9\u03c1\u03ce\u03bd\u03c4\u03b1\u03c2 \u03c3\u03b5 \u03bc\u03b5\u03b3\u03ac\u03bb\u03bf \u03b2\u03b1\u03b8\u03bc\u03cc \u03c4\u03bf \u03c0\u03bb\u03b5\u03bf\u03bd\u03ad\u03ba\u03c4\u03b7\u03bc\u03b1 \u03c4\u03b7\u03c2 \u03b1\u03c0\u03bb\u03ae\u03c2 \u03b1\u03bd\u03b1\u03b3\u03bd\u03ce\u03c1\u03b9\u03c3\u03b7\u03c2 \u03c4\u03b1\u03c5\u03c4\u03cc\u03c4\u03b7\u03c4\u03b1\u03c2.<\/p>\n<h2 id=\"geniki-efthygrammisi-lysi\">\u0397 \u03b1\u03c0\u03bf\u03c4\u03c5\u03c7\u03af\u03b1 \u03c4\u03b7\u03c2 \u03b3\u03b5\u03bd\u03b9\u03ba\u03ae\u03c2 \u03b5\u03c5\u03b8\u03c5\u03b3\u03c1\u03ac\u03bc\u03bc\u03b9\u03c3\u03b7\u03c2 \u03ba\u03b1\u03b9 \u03b7 \u03bb\u03cd\u03c3\u03b7<\/h2>\n<p>\u03a0\u03c1\u03b9\u03bd \u03b1\u03c0\u03cc \u03c4\u03bf continued alignment, \u03bf\u03b9 task instructions \u03b5\u03bb\u03ad\u03b3\u03c7\u03bf\u03c5\u03bd \u03b5\u03bb\u03ac\u03c7\u03b9\u03c3\u03c4\u03b1 \u03c4\u03b7\u03bd \u03ba\u03b1\u03c4\u03ac\u03c4\u03b1\u03be\u03b7 context. \u03a3\u03c4\u03bf MolCAR-Structured, \u03c4\u03bf Intern-S1-mini \u03c3\u03b7\u03bc\u03b5\u03b9\u03ce\u03bd\u03b5\u03b9 44,4% Context R@1 \u03bc\u03b5 instruction \u03ba\u03b1\u03b9 40,4% \u03c7\u03c9\u03c1\u03af\u03c2 instruction. \u03a4\u03bf Qwen3.5-0.8B \u03b2\u03c1\u03af\u03c3\u03ba\u03b5\u03c4\u03b1\u03b9 \u03c3\u03c4\u03bf 41,1% \u03ad\u03bd\u03b1\u03bd\u03c4\u03b9 40,4%. \u039c\u03b5 \u03ac\u03bb\u03bb\u03b1 \u03bb\u03cc\u03b3\u03b9\u03b1, \u03b7 \u03b3\u03b5\u03bd\u03b9\u03ba\u03ae molecule-text \u03b5\u03c5\u03b8\u03c5\u03b3\u03c1\u03ac\u03bc\u03bc\u03b9\u03c3\u03b7 \u03ad\u03bc\u03b1\u03b8\u03b5 \u03bd\u03b1 \u03c3\u03c5\u03bd\u03b4\u03ad\u03b5\u03b9 \u03bc\u03cc\u03c1\u03b9\u03b1 \u03ba\u03b1\u03b9 \u03c0\u03b5\u03c1\u03b9\u03b3\u03c1\u03b1\u03c6\u03ad\u03c2, \u03b1\u03bb\u03bb\u03ac \u03b4\u03b5\u03bd \u03ad\u03bc\u03b1\u03b8\u03b5 \u03bd\u03b1 \u03b4\u03b9\u03b1\u03c7\u03c9\u03c1\u03af\u03b6\u03b5\u03b9 \u03b1\u03be\u03b9\u03cc\u03c0\u03b9\u03c3\u03c4\u03b1 \u03c0\u03bf\u03bb\u03bb\u03b1\u03c0\u03bb\u03ad\u03c2 \u03ad\u03b3\u03ba\u03c5\u03c1\u03b5\u03c2 \u03c0\u03b5\u03c1\u03b9\u03b3\u03c1\u03b1\u03c6\u03ad\u03c2 \u03c4\u03bf\u03c5 \u03af\u03b4\u03b9\u03bf\u03c5 \u03bc\u03bf\u03c1\u03af\u03bf\u03c5.<\/p>\n<p>\u039f\u03b9 \u03c3\u03c5\u03b3\u03b3\u03c1\u03b1\u03c6\u03b5\u03af\u03c2 \u03b1\u03c0\u03bf\u03b4\u03af\u03b4\u03bf\u03c5\u03bd \u03b1\u03c5\u03c4\u03ae \u03c4\u03b7\u03bd \u03ba\u03b1\u03c4\u03ac\u03c1\u03c1\u03b5\u03c5\u03c3\u03b7 \u03c3\u03c4\u03b7 \u03b4\u03bf\u03bc\u03ae \u03c4\u03c9\u03bd \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03c9\u03bd: \u03bf\u03b9 \u03c3\u03c5\u03bd\u03b7\u03b8\u03b9\u03c3\u03bc\u03ad\u03bd\u03b5\u03c2 \u03c0\u03b5\u03c1\u03b9\u03b3\u03c1\u03b1\u03c6\u03ad\u03c2 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c3\u03c7\u03b5\u03c4\u03b9\u03ba\u03ac \u03c3\u03c4\u03b5\u03bd\u03ad\u03c2 \u03ba\u03b1\u03b9 templated, \u03b5\u03bd\u03ce \u03c3\u03c0\u03ac\u03bd\u03b9\u03b1 \u03c0\u03b1\u03c1\u03bf\u03c5\u03c3\u03b9\u03ac\u03b6\u03bf\u03c5\u03bd \u03c4\u03bf \u03af\u03b4\u03b9\u03bf \u03bc\u03cc\u03c1\u03b9\u03bf \u03ba\u03ac\u03c4\u03c9 \u03b1\u03c0\u03cc \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03bf\u03cd\u03c2 task lenses. \u03a4\u03bf MolCAR-Train \u03c0\u03c1\u03bf\u03c3\u03b8\u03ad\u03c4\u03b5\u03b9 \u03b1\u03ba\u03c1\u03b9\u03b2\u03ce\u03c2 \u03b1\u03c5\u03c4\u03ae \u03c4\u03b7\u03bd \u03b5\u03c0\u03af\u03b2\u03bb\u03b5\u03c8\u03b7. \u03a0\u03b5\u03c1\u03b9\u03bb\u03b1\u03bc\u03b2\u03ac\u03bd\u03b5\u03b9 10.844 \u03b6\u03b5\u03cd\u03b3\u03b7 \u03b3\u03b9\u03b1 continued alignment, \u03b1\u03c6\u03bf\u03cd \u03b1\u03c6\u03b1\u03b9\u03c1\u03b5\u03b8\u03bf\u03cd\u03bd \u03b1\u03c0\u03cc \u03c4\u03b7\u03bd \u03b5\u03ba\u03c0\u03b1\u03af\u03b4\u03b5\u03c5\u03c3\u03b7 \u03c4\u03b1 evaluation \u03bc\u03cc\u03c1\u03b9\u03b1 \u03bc\u03b5 \u03b2\u03ac\u03c3\u03b7 \u03c4\u03bf canonical SMILES.<\/p>\n<p>\u039c\u03b5\u03c4\u03ac \u03c4\u03bf continued alignment, \u03c4\u03bf Intern-S1-mini \u03c6\u03c4\u03ac\u03bd\u03b5\u03b9 99,8% Context R@1 \u03c3\u03c4\u03bf structured benchmark \u03ad\u03bd\u03b1\u03bd\u03c4\u03b9 40,4% \u03c7\u03c9\u03c1\u03af\u03c2 task instruction. \u03a4\u03bf Qwen3.5-0.8B \u03c6\u03c4\u03ac\u03bd\u03b5\u03b9 69,4%. \u03a3\u03c4\u03b7 natural \u03c0\u03b1\u03c1\u03b1\u03bb\u03bb\u03b1\u03b3\u03ae \u03bf\u03b9 \u03b1\u03bd\u03c4\u03af\u03c3\u03c4\u03bf\u03b9\u03c7\u03b5\u03c2 \u03c4\u03b9\u03bc\u03ad\u03c2 \u03b5\u03af\u03bd\u03b1\u03b9 99,2% \u03ba\u03b1\u03b9 72,0%. \u0397 \u03b1\u03bb\u03bb\u03b1\u03b3\u03ae \u03b4\u03b5\u03bd \u03c3\u03b7\u03bc\u03b1\u03af\u03bd\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03bb\u03cd\u03b8\u03b7\u03ba\u03b5 \u03b7 \u03b1\u03bd\u03bf\u03b9\u03c7\u03c4\u03ae \u03b5\u03c0\u03b9\u03c3\u03c4\u03b7\u03bc\u03bf\u03bd\u03b9\u03ba\u03ae \u03b1\u03bd\u03b1\u03b6\u03ae\u03c4\u03b7\u03c3\u03b7. \u0394\u03b5\u03af\u03c7\u03bd\u03b5\u03b9, \u03c3\u03b5 \u03ad\u03bd\u03b1 \u03b5\u03bb\u03b5\u03b3\u03c7\u03cc\u03bc\u03b5\u03bd\u03bf benchmark \u03b3\u03bd\u03c9\u03c3\u03c4\u03ce\u03bd task families, \u03cc\u03c4\u03b9 \u03b7 context sensitivity \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b4\u03b9\u03b4\u03b1\u03c7\u03b8\u03b5\u03af \u03cc\u03c4\u03b1\u03bd \u03c5\u03c0\u03ac\u03c1\u03c7\u03b5\u03b9 \u03c4\u03bf \u03c3\u03c9\u03c3\u03c4\u03cc supervision.<\/p>\n<div class=\"td-decision-band\">\n<p class=\"td-decision-kicker\">\u039a\u03c1\u03af\u03c3\u03b9\u03bc\u03bf \u03cc\u03c1\u03b9\u03bf \u03b5\u03c1\u03bc\u03b7\u03bd\u03b5\u03af\u03b1\u03c2<\/p>\n<p class=\"td-decision-title\">\u039c\u03b7\u03bd \u03bc\u03c0\u03b5\u03c1\u03b4\u03b5\u03cd\u03b5\u03c4\u03b5 \u03c4\u03b7\u03bd \u03b1\u03bd\u03b1\u03b3\u03bd\u03ce\u03c1\u03b9\u03c3\u03b7 \u03b1\u03bd\u03c4\u03b9\u03ba\u03b5\u03b9\u03bc\u03ad\u03bd\u03bf\u03c5 \u03bc\u03b5 \u03c4\u03b7\u03bd \u03ba\u03b1\u03c4\u03b1\u03bd\u03cc\u03b7\u03c3\u03b7 \u03c0\u03c1\u03cc\u03b8\u03b5\u03c3\u03b7\u03c2<\/p>\n<p>\u0388\u03bd\u03b1 retrieval system \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b2\u03c1\u03af\u03c3\u03ba\u03b5\u03b9 \u03c4\u03bf \u03c3\u03c9\u03c3\u03c4\u03cc \u03c0\u03c1\u03bf\u03ca\u03cc\u03bd, \u03ad\u03b3\u03b3\u03c1\u03b1\u03c6\u03bf \u03ae \u03bc\u03cc\u03c1\u03b9\u03bf \u03ba\u03b1\u03b9 \u03c4\u03b1\u03c5\u03c4\u03cc\u03c7\u03c1\u03bf\u03bd\u03b1 \u03bd\u03b1 \u03b5\u03c0\u03b9\u03c3\u03c4\u03c1\u03ad\u03c6\u03b5\u03b9 \u03c4\u03b7 \u03bb\u03ac\u03b8\u03bf\u03c2 \u03c0\u03bb\u03b7\u03c1\u03bf\u03c6\u03bf\u03c1\u03af\u03b1 \u03b3\u03b9\u03b1 \u03c4\u03bf \u03b5\u03c1\u03ce\u03c4\u03b7\u03bc\u03b1 \u03c4\u03bf\u03c5 \u03c7\u03c1\u03ae\u03c3\u03c4\u03b7. \u0397 \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03ba\u03c1\u03b1\u03c4\u03ac \u03c3\u03c4\u03b1\u03b8\u03b5\u03c1\u03ae \u03c4\u03b7\u03bd \u03c4\u03b1\u03c5\u03c4\u03cc\u03c4\u03b7\u03c4\u03b1 \u03ba\u03b1\u03b9 \u03bd\u03b1 \u03b1\u03bb\u03bb\u03ac\u03b6\u03b5\u03b9 \u03bc\u03cc\u03bd\u03bf \u03c4\u03bf context, \u03ce\u03c3\u03c4\u03b5 \u03bd\u03b1 \u03b1\u03c0\u03bf\u03ba\u03b1\u03bb\u03cd\u03c0\u03c4\u03b5\u03b9 \u03b1\u03c5\u03c4\u03cc \u03c4\u03bf failure mode.<\/p>\n<\/div>\n<h2 id=\"data-lesson-ai-products\">\u03a4\u03bf \u03b2\u03b1\u03c3\u03b9\u03ba\u03cc data lesson \u03b3\u03b9\u03b1 AI \u03c0\u03c1\u03bf\u03ca\u03cc\u03bd\u03c4\u03b1<\/h2>\n<p>\u03a4\u03bf \u03c3\u03b7\u03bc\u03b1\u03bd\u03c4\u03b9\u03ba\u03cc\u03c4\u03b5\u03c1\u03bf \u03b5\u03cd\u03c1\u03b7\u03bc\u03b1 \u03c4\u03bf\u03c5 MolEmb \u03b5\u03af\u03bd\u03b1\u03b9 \u03cc\u03c4\u03b9 \u03c4\u03bf context-aware embedding \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03b5\u03af \u03ba\u03c5\u03c1\u03af\u03c9\u03c2 \u03b9\u03b4\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1 \u03c4\u03c9\u03bd \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03c9\u03bd \u03b5\u03c0\u03af\u03b2\u03bb\u03b5\u03c8\u03b7\u03c2. \u0388\u03bd\u03b1 \u03bc\u03b5\u03b3\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03bf \u03ae \u03c0\u03b9\u03bf \u03b3\u03b5\u03bd\u03b9\u03ba\u03cc backbone \u03b4\u03b5\u03bd \u03b1\u03c1\u03ba\u03b5\u03af \u03b1\u03bd \u03c4\u03bf training corpus \u03b4\u03b5\u03bd \u03b4\u03b5\u03af\u03c7\u03bd\u03b5\u03b9 \u03c0\u03ce\u03c2 \u03b1\u03bb\u03bb\u03ac\u03b6\u03b5\u03b9 \u03b7 \u03c3\u03c7\u03b5\u03c4\u03b9\u03ba\u03ae \u03c0\u03bb\u03b7\u03c1\u03bf\u03c6\u03bf\u03c1\u03af\u03b1 \u03b1\u03bd\u03ac\u03bb\u03bf\u03b3\u03b1 \u03bc\u03b5 \u03c4\u03bf task. \u03a4\u03b1 embeddings \u03b4\u03b5\u03bd \u03b1\u03c0\u03bf\u03ba\u03c4\u03bf\u03cd\u03bd \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03c3\u03b9\u03b1\u03ba\u03ae \u03c3\u03b7\u03bc\u03b1\u03c3\u03af\u03b1 \u03b1\u03c0\u03cc \u03c4\u03b7\u03bd \u03bf\u03bd\u03bf\u03bc\u03b1\u03c3\u03af\u03b1 \u03c4\u03bf\u03c5 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf\u03c5, \u03b1\u03bb\u03bb\u03ac \u03b1\u03c0\u03cc \u03c4\u03b1 contrasts \u03c0\u03bf\u03c5 \u03b5\u03af\u03b4\u03b1\u03bd \u03c3\u03c4\u03b7\u03bd \u03b5\u03ba\u03c0\u03b1\u03af\u03b4\u03b5\u03c5\u03c3\u03b7.<\/p>\n<p>\u0397 \u03b1\u03c1\u03c7\u03ae \u03bc\u03b5\u03c4\u03b1\u03c6\u03ad\u03c1\u03b5\u03c4\u03b1\u03b9 \u03c0\u03c1\u03bf\u03c3\u03b5\u03ba\u03c4\u03b9\u03ba\u03ac \u03ba\u03b1\u03b9 \u03c0\u03ad\u03c1\u03b1 \u03b1\u03c0\u03cc \u03c4\u03b7 \u03c7\u03b7\u03bc\u03b5\u03af\u03b1. \u03a3\u03b5 \u03ad\u03bd\u03b1 e-commerce retrieval system, \u03c4\u03bf \u03af\u03b4\u03b9\u03bf \u03c0\u03c1\u03bf\u03ca\u03cc\u03bd \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c3\u03c7\u03b5\u03c4\u03b9\u03ba\u03cc \u03b3\u03b9\u03b1 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ad\u03c2 \u03c0\u03c1\u03bf\u03b8\u03ad\u03c3\u03b5\u03b9\u03c2: \u03c3\u03c5\u03bc\u03b2\u03b1\u03c4\u03cc\u03c4\u03b7\u03c4\u03b1, \u03c0\u03b5\u03c1\u03b9\u03b8\u03ce\u03c1\u03b9\u03bf \u03ba\u03ad\u03c1\u03b4\u03bf\u03c5\u03c2, \u03b2\u03b9\u03c9\u03c3\u03b9\u03bc\u03cc\u03c4\u03b7\u03c4\u03b1 \u03ae \u03b3\u03c1\u03ae\u03b3\u03bf\u03c1\u03b7 \u03c0\u03b1\u03c1\u03ac\u03b4\u03bf\u03c3\u03b7. \u03a3\u03b5 \u03ad\u03bd\u03b1 B2B knowledge base, \u03c4\u03bf \u03af\u03b4\u03b9\u03bf \u03ad\u03b3\u03b3\u03c1\u03b1\u03c6\u03bf \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b1\u03be\u03b9\u03bf\u03bb\u03bf\u03b3\u03b5\u03af\u03c4\u03b1\u03b9 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ac \u03b3\u03b9\u03b1 sales enablement, compliance \u03ae \u03c4\u03b5\u03c7\u03bd\u03b9\u03ba\u03ae \u03c5\u03c0\u03bf\u03c3\u03c4\u03ae\u03c1\u03b9\u03be\u03b7. \u0391\u03c5\u03c4\u03ae \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03bd\u03b1\u03bb\u03bf\u03b3\u03af\u03b1 \u03c3\u03c7\u03b5\u03b4\u03b9\u03b1\u03c3\u03bc\u03bf\u03cd, \u03cc\u03c7\u03b9 \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1 \u03c0\u03bf\u03c5 \u03bc\u03ad\u03c4\u03c1\u03b7\u03c3\u03b5 \u03b7 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7. \u03a4\u03bf \u03c0\u03c1\u03b1\u03ba\u03c4\u03b9\u03ba\u03cc \u03b4\u03af\u03b4\u03b1\u03b3\u03bc\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03bd\u03b1 \u03c3\u03c5\u03bb\u03bb\u03ad\u03b3\u03bf\u03bd\u03c4\u03b1\u03b9 task-conditioned \u03c0\u03b1\u03c1\u03b1\u03b4\u03b5\u03af\u03b3\u03bc\u03b1\u03c4\u03b1 \u03c0\u03bf\u03c5 \u03b1\u03bd\u03c4\u03b9\u03c3\u03c4\u03bf\u03b9\u03c7\u03bf\u03cd\u03bd \u03c3\u03c4\u03b9\u03c2 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ad\u03c2 \u03b1\u03c0\u03bf\u03c6\u03ac\u03c3\u03b5\u03b9\u03c2 \u03c4\u03bf\u03c5 \u03c0\u03c1\u03bf\u03ca\u03cc\u03bd\u03c4\u03bf\u03c2.<\/p>\n<p>\u0393\u03b9\u03b1 \u03bf\u03bc\u03ac\u03b4\u03b5\u03c2 AI \u03ba\u03b1\u03b9 marketing technology, \u03b1\u03c5\u03c4\u03cc \u03b1\u03bb\u03bb\u03ac\u03b6\u03b5\u03b9 \u03ba\u03b1\u03b9 \u03c4\u03b7 \u03bc\u03ad\u03c4\u03c1\u03b7\u03c3\u03b7. \u0388\u03bd\u03b1 \u03b5\u03bd\u03b9\u03b1\u03af\u03bf retrieval score \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03ba\u03c1\u03cd\u03b2\u03b5\u03b9 \u03c4\u03bf \u03b3\u03b5\u03b3\u03bf\u03bd\u03cc\u03c2 \u03cc\u03c4\u03b9 \u03c4\u03bf \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1 \u03b1\u03bd\u03b1\u03b3\u03bd\u03c9\u03c1\u03af\u03b6\u03b5\u03b9 \u03c3\u03c9\u03c3\u03c4\u03ac \u03c4\u03bf \u03b1\u03bd\u03c4\u03b9\u03ba\u03b5\u03af\u03bc\u03b5\u03bd\u03bf \u03b1\u03bb\u03bb\u03ac \u03b1\u03b3\u03bd\u03bf\u03b5\u03af \u03c4\u03b7\u03bd \u03c0\u03c1\u03cc\u03b8\u03b5\u03c3\u03b7. \u03a7\u03c1\u03b5\u03b9\u03ac\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 tests \u03c0\u03bf\u03c5 \u03ba\u03c1\u03b1\u03c4\u03bf\u03cd\u03bd \u03c3\u03c4\u03b1\u03b8\u03b5\u03c1\u03ae \u03c4\u03b7\u03bd \u03c4\u03b1\u03c5\u03c4\u03cc\u03c4\u03b7\u03c4\u03b1 \u03ba\u03b1\u03b9 \u03b1\u03bb\u03bb\u03ac\u03b6\u03bf\u03c5\u03bd \u03bc\u03cc\u03bd\u03bf \u03c4\u03bf context, \u03cc\u03c0\u03c9\u03c2 \u03b1\u03ba\u03c1\u03b9\u03b2\u03ce\u03c2 \u03ba\u03ac\u03bd\u03b5\u03b9 \u03c4\u03bf MolCAR. \u0391\u03bd\u03c4\u03af\u03c3\u03c4\u03bf\u03b9\u03c7\u03b7 \u03c0\u03c1\u03bf\u03c3\u03bf\u03c7\u03ae \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c3\u03c4\u03b7 <a href=\"https:\/\/twodots.gr\/multimodal-anazitisi-eikonon-embeddings-frontier-llms\/\">multimodal \u03b1\u03bd\u03b1\u03b6\u03ae\u03c4\u03b7\u03c3\u03b7 \u03b5\u03b9\u03ba\u03cc\u03bd\u03c9\u03bd \u03bc\u03b5 embeddings<\/a>, \u03cc\u03c0\u03bf\u03c5 \u03c4\u03bf \u03b9\u03c3\u03c7\u03c5\u03c1\u03cc\u03c4\u03b5\u03c1\u03bf \u03b3\u03b5\u03bd\u03b9\u03ba\u03cc \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03c0\u03ac\u03bd\u03c4\u03b1 \u03b7 \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03b7 \u03bb\u03cd\u03c3\u03b7 \u03b3\u03b9\u03b1 \u03c4\u03bf \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03bf retrieval task.<\/p>\n<h2 id=\"oria-erevnas\">\u03a4\u03b9 \u03b4\u03b5\u03bd \u03b1\u03c0\u03bf\u03b4\u03b5\u03b9\u03ba\u03bd\u03cd\u03b5\u03b9 \u03b7 \u03ad\u03c1\u03b5\u03c5\u03bd\u03b1<\/h2>\n<p>\u03a4\u03bf MolEmb \u03b1\u03be\u03b9\u03bf\u03bb\u03bf\u03b3\u03b5\u03af\u03c4\u03b1\u03b9 \u03c9\u03c2 route \u03c0\u03c1\u03bf\u03c3\u03b1\u03c1\u03bc\u03bf\u03b3\u03ae\u03c2 \u03ba\u03b1\u03b9 \u03cc\u03c7\u03b9 \u03c9\u03c2 \u03c0\u03bb\u03ae\u03c1\u03c9\u03c2 \u03ba\u03bb\u03b9\u03bc\u03b1\u03ba\u03c9\u03bc\u03ad\u03bd\u03bf molecular foundation model. \u03a4\u03bf \u03bc\u03bf\u03c1\u03b9\u03b1\u03ba\u03cc \u03c0\u03c1\u03bf\u03c6\u03af\u03bb \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c3\u03b5 2D depiction \u03ba\u03b1\u03b9 canonical SMILES. \u0394\u03b5\u03bd \u03c0\u03b5\u03c1\u03b9\u03bb\u03b1\u03bc\u03b2\u03ac\u03bd\u03b5\u03b9 conformers, \u03b1\u03bd\u03c4\u03b9\u03b4\u03c1\u03ac\u03c3\u03b5\u03b9\u03c2, \u03c6\u03ac\u03c3\u03bc\u03b1\u03c4\u03b1 \u03ae assay metadata, \u03c0\u03b1\u03c1\u03cc\u03c4\u03b9 \u03b1\u03c5\u03c4\u03ac \u03b8\u03b1 \u03bc\u03c0\u03bf\u03c1\u03bf\u03cd\u03c3\u03b1\u03bd \u03bd\u03b1 \u03b5\u03bd\u03c4\u03b1\u03c7\u03b8\u03bf\u03cd\u03bd \u03bc\u03b5\u03bb\u03bb\u03bf\u03bd\u03c4\u03b9\u03ba\u03ac \u03c3\u03c4\u03bf \u03af\u03b4\u03b9\u03bf interface.<\/p>\n<p>\u03a4\u03bf MolCAR \u03ba\u03b1\u03bb\u03cd\u03c0\u03c4\u03b5\u03b9 \u03bf\u03ba\u03c4\u03ce property-related task families \u03ba\u03b1\u03b9 \u03b4\u03b5\u03bd \u03b4\u03bf\u03ba\u03b9\u03bc\u03ac\u03b6\u03b5\u03b9 \u03bc\u03b5\u03c4\u03b1\u03c6\u03bf\u03c1\u03ac \u03c3\u03b5 \u03b5\u03bd\u03c4\u03b5\u03bb\u03ce\u03c2 \u03ac\u03b3\u03bd\u03c9\u03c3\u03c4\u03b5\u03c2 \u03bf\u03b9\u03ba\u03bf\u03b3\u03ad\u03bd\u03b5\u03b9\u03b5\u03c2 \u03b5\u03c1\u03b3\u03b1\u03c3\u03b9\u03ce\u03bd \u03ae open-ended scientific search. \u0395\u03c0\u03af\u03c3\u03b7\u03c2, \u03c4\u03bf Mixed corpus \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03bd\u03b5\u03b9 \u03bc\u03b9\u03ba\u03c1\u03cc \u03ba\u03b1\u03b9 \u03bb\u03b9\u03b3\u03cc\u03c4\u03b5\u03c1\u03bf \u03c0\u03bf\u03b9\u03ba\u03af\u03bb\u03bf \u03b1\u03c0\u03cc industrial-scale embedding pretraining. \u0386\u03c1\u03b1 \u03c4\u03bf 99,8% \u03c3\u03b5 \u03ad\u03bd\u03b1 \u03b5\u03bb\u03b5\u03b3\u03c7\u03cc\u03bc\u03b5\u03bd\u03bf context benchmark \u03b4\u03b5\u03bd \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03c0\u03b1\u03c1\u03bf\u03c5\u03c3\u03b9\u03b1\u03c3\u03c4\u03b5\u03af \u03c9\u03c2 \u03b3\u03b5\u03bd\u03b9\u03ba\u03ae \u03b1\u03ba\u03c1\u03af\u03b2\u03b5\u03b9\u03b1 \u03c3\u03b5 drug discovery.<\/p>\n<p>\u03a5\u03c0\u03ac\u03c1\u03c7\u03b5\u03b9 \u03b1\u03ba\u03cc\u03bc\u03b7 \u03b7 \u03c3\u03c5\u03bd\u03ae\u03b8\u03b7\u03c2 \u03b1\u03c0\u03cc\u03c3\u03c4\u03b1\u03c3\u03b7 \u03b1\u03bd\u03ac\u03bc\u03b5\u03c3\u03b1 \u03c3\u03b5 benchmark \u03ba\u03b1\u03b9 \u03c0\u03b1\u03c1\u03b1\u03b3\u03c9\u03b3\u03b9\u03ba\u03ae \u03c7\u03c1\u03ae\u03c3\u03b7: \u03c0\u03bf\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1 \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03c9\u03bd, drift, \u03b5\u03c0\u03b9\u03c3\u03c4\u03b7\u03bc\u03bf\u03bd\u03b9\u03ba\u03ae \u03b5\u03c0\u03b9\u03ba\u03cd\u03c1\u03c9\u03c3\u03b7, \u03c5\u03c0\u03bf\u03bb\u03bf\u03b3\u03b9\u03c3\u03c4\u03b9\u03ba\u03cc \u03ba\u03cc\u03c3\u03c4\u03bf\u03c2 \u03ba\u03b1\u03b9 governance. \u0397 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1 \u03c4\u03b5\u03ba\u03bc\u03b7\u03c1\u03b9\u03ce\u03bd\u03b5\u03b9 \u03bc\u03b9\u03b1 \u03b5\u03c6\u03b9\u03ba\u03c4\u03ae \u03b1\u03c1\u03c7\u03b9\u03c4\u03b5\u03ba\u03c4\u03bf\u03bd\u03b9\u03ba\u03ae \u03ba\u03b1\u03c4\u03b5\u03cd\u03b8\u03c5\u03bd\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03ad\u03bd\u03b1 \u03b4\u03b9\u03b1\u03b3\u03bd\u03c9\u03c3\u03c4\u03b9\u03ba\u03cc \u03b5\u03c1\u03b3\u03b1\u03bb\u03b5\u03af\u03bf, \u03cc\u03c7\u03b9 \u03ad\u03c4\u03bf\u03b9\u03bc\u03bf \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1 \u03ba\u03bb\u03b9\u03bd\u03b9\u03ba\u03ae\u03c2 \u03ae \u03c6\u03b1\u03c1\u03bc\u03b1\u03ba\u03b5\u03c5\u03c4\u03b9\u03ba\u03ae\u03c2 \u03b1\u03c0\u03cc\u03c6\u03b1\u03c3\u03b7\u03c2. \u03a3\u03b5 \u03c0\u03b1\u03c1\u03b1\u03b3\u03c9\u03b3\u03b9\u03ba\u03cc \u03c0\u03b5\u03c1\u03b9\u03b2\u03ac\u03bb\u03bb\u03bf\u03bd \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03b5\u03c0\u03af\u03c3\u03b7\u03c2 \u03c4\u03b5\u03ba\u03bc\u03b7\u03c1\u03b9\u03c9\u03bc\u03ad\u03bd\u03bf\u03b9 \u03ad\u03bb\u03b5\u03b3\u03c7\u03bf\u03b9 \u03ba\u03b9\u03bd\u03b4\u03cd\u03bd\u03bf\u03c5 \u03ba\u03b1\u03b9 \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03b7 \u03b5\u03c0\u03bf\u03c0\u03c4\u03b5\u03af\u03b1, \u03c3\u03cd\u03bc\u03c6\u03c9\u03bd\u03b1 \u03bc\u03b5 \u03c4\u03b7 \u03bb\u03bf\u03b3\u03b9\u03ba\u03ae \u03c4\u03bf\u03c5 NIST AI RMF.<\/p>\n<h2 id=\"praktiki-stratigiki-retrieval\">\u039c\u03b9\u03b1 \u03c0\u03c1\u03b1\u03ba\u03c4\u03b9\u03ba\u03ae \u03c3\u03c4\u03c1\u03b1\u03c4\u03b7\u03b3\u03b9\u03ba\u03ae \u03b3\u03b9\u03b1 \u03bf\u03bc\u03ac\u03b4\u03b5\u03c2 \u03c0\u03bf\u03c5 \u03c7\u03c4\u03af\u03b6\u03bf\u03c5\u03bd retrieval<\/h2>\n<p>\u0397 \u03c0\u03c1\u03ce\u03c4\u03b7 \u03ba\u03af\u03bd\u03b7\u03c3\u03b7 \u03b5\u03af\u03bd\u03b1\u03b9 \u03bd\u03b1 \u03bf\u03c1\u03b9\u03c3\u03c4\u03bf\u03cd\u03bd \u03c7\u03c9\u03c1\u03b9\u03c3\u03c4\u03ac \u03bf\u03b9 \u03cc\u03c8\u03b5\u03b9\u03c2 \u03c4\u03bf\u03c5 \u03b1\u03bd\u03c4\u03b9\u03ba\u03b5\u03b9\u03bc\u03ad\u03bd\u03bf\u03c5 \u03ba\u03b1\u03b9 \u03c4\u03b1 contexts \u03c7\u03c1\u03ae\u03c3\u03b7\u03c2. \u03a3\u03c4\u03b7 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7, \u03bf\u03b9 \u03cc\u03c8\u03b5\u03b9\u03c2 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b5\u03b9\u03ba\u03cc\u03bd\u03b1 \u03ba\u03b1\u03b9 SMILES, \u03b5\u03bd\u03ce \u03c4\u03b1 contexts \u03b5\u03af\u03bd\u03b1\u03b9 \u03bf\u03b9 \u03b5\u03c0\u03b9\u03c3\u03c4\u03b7\u03bc\u03bf\u03bd\u03b9\u03ba\u03ad\u03c2 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b5\u03c2. \u03a3\u03b5 \u03ac\u03bb\u03bb\u03bf domain, \u03bf\u03b9 \u03cc\u03c8\u03b5\u03b9\u03c2 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03ba\u03b5\u03af\u03bc\u03b5\u03bd\u03bf, \u03b5\u03b9\u03ba\u03cc\u03bd\u03b1, attributes \u03ba\u03b1\u03b9 \u03b9\u03c3\u03c4\u03bf\u03c1\u03b9\u03ba\u03cc, \u03b5\u03bd\u03ce \u03c4\u03b1 contexts \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03c0\u03c1\u03bf\u03ba\u03cd\u03c0\u03c4\u03bf\u03c5\u03bd \u03b1\u03c0\u03cc \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ad\u03c2 \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03c3\u03b9\u03b1\u03ba\u03ad\u03c2 \u03b1\u03c0\u03bf\u03c6\u03ac\u03c3\u03b5\u03b9\u03c2.<\/p>\n<p>\u0388\u03c0\u03b5\u03b9\u03c4\u03b1 \u03b1\u03c0\u03b1\u03b9\u03c4\u03b5\u03af\u03c4\u03b1\u03b9 benchmark \u03c0\u03bf\u03c5 \u03bd\u03b1 \u03b5\u03bb\u03ad\u03b3\u03c7\u03b5\u03b9 \u03b4\u03cd\u03c3\u03ba\u03bf\u03bb\u03b1 \u03b1\u03c1\u03bd\u03b7\u03c4\u03b9\u03ba\u03ac \u03c0\u03b1\u03c1\u03b1\u03b4\u03b5\u03af\u03b3\u03bc\u03b1\u03c4\u03b1. \u03a4\u03bf \u03c3\u03c9\u03c3\u03c4\u03cc \u03b1\u03bd\u03c4\u03b9\u03ba\u03b5\u03af\u03bc\u03b5\u03bd\u03bf \u03bc\u03b5 \u03bb\u03ac\u03b8\u03bf\u03c2 context \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b8\u03b5\u03c9\u03c1\u03b5\u03af\u03c4\u03b1\u03b9 \u03bb\u03ac\u03b8\u03bf\u03c2, \u03b1\u03bb\u03bb\u03b9\u03ce\u03c2 \u03c4\u03bf metric \u03b8\u03b1 \u03b5\u03c0\u03b9\u03b2\u03c1\u03b1\u03b2\u03b5\u03cd\u03b5\u03b9 \u03b1\u03c0\u03bb\u03ae \u03c4\u03b1\u03c5\u03c4\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b7. \u0397 \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03b5\u03c0\u03af\u03c3\u03b7\u03c2 \u03bd\u03b1 \u03b4\u03b9\u03b1\u03c7\u03c9\u03c1\u03af\u03b6\u03b5\u03b9 object retrieval, document retrieval \u03ba\u03b1\u03b9 within-object context ranking, \u03ce\u03c3\u03c4\u03b5 \u03bd\u03b1 \u03b3\u03af\u03bd\u03b5\u03c4\u03b1\u03b9 \u03bf\u03c1\u03b1\u03c4\u03cc \u03c0\u03bf\u03cd \u03b1\u03c0\u03bf\u03c4\u03c5\u03b3\u03c7\u03ac\u03bd\u03b5\u03b9 \u03c4\u03bf \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1.<\/p>\n<p>\u03a4\u03ad\u03bb\u03bf\u03c2, \u03b7 \u03bf\u03bc\u03ac\u03b4\u03b1 \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 data loop. \u038c\u03c4\u03b1\u03bd \u03c4\u03bf context routing \u03b1\u03c0\u03bf\u03c4\u03c5\u03b3\u03c7\u03ac\u03bd\u03b5\u03b9, \u03b7 \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7 \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03c5\u03c4\u03bf\u03bc\u03ac\u03c4\u03c9\u03c2 \u03bc\u03b5\u03b3\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf. \u03a4\u03bf MolEmb \u03b4\u03b5\u03af\u03c7\u03bd\u03b5\u03b9 \u03cc\u03c4\u03b9 outcome-grounded, task-diverse supervision \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b1\u03bb\u03bb\u03ac\u03be\u03b5\u03b9 \u03bf\u03c5\u03c3\u03b9\u03b1\u03c3\u03c4\u03b9\u03ba\u03ac \u03c4\u03b7 \u03b3\u03b5\u03c9\u03bc\u03b5\u03c4\u03c1\u03af\u03b1 \u03c4\u03bf\u03c5 embedding space \u03bc\u03b5 parameter-efficient adaptation. \u0397 \u03c0\u03c1\u03bf\u03c4\u03b5\u03c1\u03b1\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1, \u03b5\u03c0\u03bf\u03bc\u03ad\u03bd\u03c9\u03c2, \u03b5\u03af\u03bd\u03b1\u03b9 \u03bd\u03b1 \u03b2\u03b5\u03bb\u03c4\u03b9\u03c9\u03b8\u03b5\u03af \u03c4\u03bf \u03c3\u03c7\u03ae\u03bc\u03b1 \u03c4\u03c9\u03bd \u03c0\u03b1\u03c1\u03b1\u03b4\u03b5\u03b9\u03b3\u03bc\u03ac\u03c4\u03c9\u03bd \u03ba\u03b1\u03b9 \u03bd\u03b1 \u03b5\u03c0\u03b1\u03bd\u03b1\u03bb\u03b7\u03c6\u03b8\u03b5\u03af \u03b7 \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7 \u03c7\u03c9\u03c1\u03af\u03c2 leakage.<\/p>\n<div class=\"td-step-list\">\n<p class=\"td-step-list-title\">\u03a3\u03c7\u03b5\u03b4\u03b9\u03b1\u03c3\u03bc\u03cc\u03c2 context-aware retrieval \u03c3\u03b5 \u03b5\u03c0\u03c4\u03ac \u03b2\u03ae\u03bc\u03b1\u03c4\u03b1<\/p>\n<ol>\n<li><span class=\"td-step-kicker\">Use cases<\/span><strong>\u03a7\u03b1\u03c1\u03c4\u03bf\u03b3\u03c1\u03b1\u03c6\u03ae\u03c3\u03c4\u03b5 \u03c4\u03b9\u03c2 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ad\u03c2 \u03c0\u03c1\u03bf\u03b8\u03ad\u03c3\u03b5\u03b9\u03c2<\/strong>\n<p>\u039a\u03b1\u03c4\u03b1\u03b3\u03c1\u03ac\u03c8\u03c4\u03b5 \u03c4\u03b9\u03c2 \u03b1\u03c0\u03bf\u03c6\u03ac\u03c3\u03b5\u03b9\u03c2 \u03c0\u03bf\u03c5 \u03b8\u03b1 \u03c5\u03c0\u03bf\u03c3\u03c4\u03b7\u03c1\u03af\u03b6\u03b5\u03b9 \u03c4\u03bf retrieval, \u03cc\u03c0\u03c9\u03c2 \u03c3\u03c5\u03bc\u03b2\u03b1\u03c4\u03cc\u03c4\u03b7\u03c4\u03b1, \u03c4\u03b5\u03c7\u03bd\u03b9\u03ba\u03ae \u03c5\u03c0\u03bf\u03c3\u03c4\u03ae\u03c1\u03b9\u03be\u03b7, compliance \u03ae \u03b5\u03c0\u03b9\u03c3\u03c4\u03b7\u03bc\u03bf\u03bd\u03b9\u03ba\u03ae \u03b9\u03b4\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">Views<\/span><strong>\u039e\u03b5\u03c7\u03c9\u03c1\u03af\u03c3\u03c4\u03b5 \u03c4\u03b9\u03c2 \u03cc\u03c8\u03b5\u03b9\u03c2 \u03c4\u03bf\u03c5 \u03b1\u03bd\u03c4\u03b9\u03ba\u03b5\u03b9\u03bc\u03ad\u03bd\u03bf\u03c5<\/strong>\n<p>\u039f\u03c1\u03af\u03c3\u03c4\u03b5 \u03c0\u03bf\u03b9\u03b1 \u03ba\u03b5\u03af\u03bc\u03b5\u03bd\u03b1, \u03b5\u03b9\u03ba\u03cc\u03bd\u03b5\u03c2, attributes \u03ba\u03b1\u03b9 \u03b9\u03c3\u03c4\u03bf\u03c1\u03b9\u03ba\u03ac \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1 \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03bf\u03cd\u03bd \u03c4\u03bf profile \u03c0\u03c1\u03b9\u03bd \u03b1\u03c0\u03bf\u03c6\u03b1\u03c3\u03af\u03c3\u03b5\u03c4\u03b5 \u03c0\u03ce\u03c2 \u03b8\u03b1 \u03b5\u03bd\u03c9\u03b8\u03bf\u03cd\u03bd.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">Negatives<\/span><strong>\u0394\u03b7\u03bc\u03b9\u03bf\u03c5\u03c1\u03b3\u03ae\u03c3\u03c4\u03b5 \u03b4\u03cd\u03c3\u03ba\u03bf\u03bb\u03b1 \u03b1\u03c1\u03bd\u03b7\u03c4\u03b9\u03ba\u03ac \u03c0\u03b1\u03c1\u03b1\u03b4\u03b5\u03af\u03b3\u03bc\u03b1\u03c4\u03b1<\/strong>\n<p>\u039a\u03c1\u03b1\u03c4\u03ae\u03c3\u03c4\u03b5 \u03c4\u03bf \u03af\u03b4\u03b9\u03bf \u03b1\u03bd\u03c4\u03b9\u03ba\u03b5\u03af\u03bc\u03b5\u03bd\u03bf \u03ba\u03b1\u03b9 \u03b1\u03bb\u03bb\u03ac\u03be\u03c4\u03b5 \u03c4\u03bf context, \u03ce\u03c3\u03c4\u03b5 \u03c4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03bd\u03b1 \u03bc\u03b7\u03bd \u03ba\u03b5\u03c1\u03b4\u03af\u03b6\u03b5\u03b9 \u03bc\u03cc\u03bd\u03bf \u03b1\u03c0\u03cc \u03c4\u03b7\u03bd \u03b1\u03bd\u03b1\u03b3\u03bd\u03ce\u03c1\u03b9\u03c3\u03b7 \u03c4\u03b1\u03c5\u03c4\u03cc\u03c4\u03b7\u03c4\u03b1\u03c2.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">Metrics<\/span><strong>\u039c\u03b5\u03c4\u03c1\u03ae\u03c3\u03c4\u03b5 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ac \u03b5\u03af\u03b4\u03b7 retrieval<\/strong>\n<p>\u0394\u03b9\u03b1\u03c7\u03c9\u03c1\u03af\u03c3\u03c4\u03b5 object retrieval, document retrieval \u03ba\u03b1\u03b9 context ranking \u03b1\u03bd\u03c4\u03af \u03bd\u03b1 \u03c3\u03c5\u03bc\u03c0\u03c5\u03ba\u03bd\u03ce\u03bd\u03b5\u03c4\u03b5 \u03cc\u03bb\u03b1 \u03c4\u03b1 \u03c3\u03c6\u03ac\u03bb\u03bc\u03b1\u03c4\u03b1 \u03c3\u03b5 \u03ad\u03bd\u03b1 score.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">Baseline<\/span><strong>\u03a3\u03c5\u03b3\u03ba\u03c1\u03af\u03bd\u03b5\u03c4\u03b5 \u03bc\u03b5 \u03b1\u03c0\u03bb\u03cc domain baseline<\/strong>\n<p>\u0395\u03bb\u03ad\u03b3\u03be\u03c4\u03b5 \u03b1\u03bd \u03b7 \u03c0\u03bf\u03bb\u03c5\u03c0\u03bb\u03bf\u03ba\u03cc\u03c4\u03b7\u03c4\u03b1 \u03c4\u03bf\u03c5 MLLM \u03c0\u03c1\u03bf\u03c3\u03b8\u03ad\u03c4\u03b5\u03b9 \u03b1\u03be\u03af\u03b1 \u03c0\u03ad\u03c1\u03b1 \u03b1\u03c0\u03cc \u03ad\u03bd\u03b1 \u03b5\u03b9\u03b4\u03b9\u03ba\u03cc encoder \u03ae \u03bc\u03b9\u03b1 hybrid search \u03b1\u03c1\u03c7\u03b9\u03c4\u03b5\u03ba\u03c4\u03bf\u03bd\u03b9\u03ba\u03ae.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">Data loop<\/span><strong>\u039c\u03b5\u03c4\u03b1\u03c4\u03c1\u03ad\u03c8\u03c4\u03b5 \u03c4\u03b9\u03c2 \u03b1\u03c0\u03bf\u03c4\u03c5\u03c7\u03af\u03b5\u03c2 \u03c3\u03b5 supervision<\/strong>\n<p>\u03a3\u03c5\u03bb\u03bb\u03ad\u03be\u03c4\u03b5 outcome-grounded \u03c0\u03b1\u03c1\u03b1\u03b4\u03b5\u03af\u03b3\u03bc\u03b1\u03c4\u03b1 \u03b1\u03c0\u03cc \u03c4\u03b1 contexts \u03cc\u03c0\u03bf\u03c5 \u03c4\u03bf \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1 \u03bc\u03c0\u03ad\u03c1\u03b4\u03b5\u03c8\u03b5 \u03c3\u03c9\u03c3\u03c4\u03cc \u03b1\u03bd\u03c4\u03b9\u03ba\u03b5\u03af\u03bc\u03b5\u03bd\u03bf \u03ba\u03b1\u03b9 \u03bb\u03ac\u03b8\u03bf\u03c2 \u03c0\u03c1\u03cc\u03b8\u03b5\u03c3\u03b7.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">Guardrails<\/span><strong>\u039f\u03c1\u03af\u03c3\u03c4\u03b5 \u03cc\u03c1\u03b9\u03b1 \u03c7\u03c1\u03ae\u03c3\u03b7\u03c2 \u03ba\u03b1\u03b9 \u03b5\u03c0\u03b1\u03bd\u03ad\u03bb\u03b5\u03b3\u03c7\u03bf<\/strong>\n<p>\u03a0\u03b1\u03c1\u03b1\u03ba\u03bf\u03bb\u03bf\u03c5\u03b8\u03ae\u03c3\u03c4\u03b5 drift, \u03ba\u03cc\u03c3\u03c4\u03bf\u03c2, \u03b5\u03c0\u03b9\u03c3\u03c4\u03b7\u03bc\u03bf\u03bd\u03b9\u03ba\u03ae \u03b5\u03b3\u03ba\u03c5\u03c1\u03cc\u03c4\u03b7\u03c4\u03b1 \u03ba\u03b1\u03b9 human review \u03c0\u03c1\u03b9\u03bd \u03c4\u03b1 embeddings \u03b5\u03c0\u03b7\u03c1\u03b5\u03ac\u03c3\u03bf\u03c5\u03bd \u03ba\u03c1\u03af\u03c3\u03b9\u03bc\u03b5\u03c2 \u03b1\u03c0\u03bf\u03c6\u03ac\u03c3\u03b5\u03b9\u03c2.<\/p>\n<\/li>\n<\/ol>\n<\/div>\n<h2 id=\"ti-kratame-molemb\">\u03a4\u03b9 \u03ba\u03c1\u03b1\u03c4\u03ac\u03bc\u03b5 \u03b1\u03c0\u03cc \u03c4\u03bf MolEmb<\/h2>\n<p>\u0397 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7 \u03b4\u03b5\u03af\u03c7\u03bd\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03c4\u03b1 multimodal language models \u03bc\u03c0\u03bf\u03c1\u03bf\u03cd\u03bd \u03bd\u03b1 \u03bb\u03b5\u03b9\u03c4\u03bf\u03c5\u03c1\u03b3\u03ae\u03c3\u03bf\u03c5\u03bd \u03c9\u03c2 \u03b2\u03ac\u03c3\u03b7 \u03b3\u03b9\u03b1 reusable molecular embeddings, \u03cc\u03c7\u03b9 \u03bc\u03cc\u03bd\u03bf \u03c9\u03c2 generators \u03ae chemistry assistants. \u0397 \u03b1\u03c0\u03bb\u03ae direct adaptation \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03bd\u03c4\u03b1\u03b3\u03c9\u03bd\u03b9\u03c3\u03c4\u03b9\u03ba\u03ae \u03c3\u03b5 \u03b1\u03c1\u03ba\u03b5\u03c4\u03ac property benchmarks, \u03b7 molecule-text contrastive alignment \u03b4\u03b7\u03bc\u03b9\u03bf\u03c5\u03c1\u03b3\u03b5\u03af \u03b9\u03c3\u03c7\u03c5\u03c1\u03cc \u03ba\u03bf\u03b9\u03bd\u03cc retrieval space \u03ba\u03b1\u03b9 \u03b7 \u03c3\u03c4\u03bf\u03c7\u03b5\u03c5\u03bc\u03ad\u03bd\u03b7 continued alignment \u03c0\u03c1\u03bf\u03c3\u03b8\u03ad\u03c4\u03b5\u03b9 task sensitivity.<\/p>\n<p>\u03a4\u03bf \u03c0\u03b9\u03bf \u03ce\u03c1\u03b9\u03bc\u03bf \u03c3\u03c5\u03bc\u03c0\u03ad\u03c1\u03b1\u03c3\u03bc\u03b1 \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03cc\u03c4\u03b9 \u03bf\u03b9 specialist molecular encoders \u03ad\u03b3\u03b9\u03bd\u03b1\u03bd \u03c0\u03b5\u03c1\u03b9\u03c4\u03c4\u03bf\u03af. \u0395\u03af\u03bd\u03b1\u03b9 \u03cc\u03c4\u03b9 \u03b4\u03b7\u03bc\u03b9\u03bf\u03c5\u03c1\u03b3\u03b5\u03af\u03c4\u03b1\u03b9 \u03bc\u03b9\u03b1 \u03b4\u03b5\u03cd\u03c4\u03b5\u03c1\u03b7 \u03b4\u03b9\u03b1\u03b4\u03c1\u03bf\u03bc\u03ae: \u03ba\u03bf\u03b9\u03bd\u03cc multimodal interface, natural-language conditioning \u03ba\u03b1\u03b9 embeddings \u03c0\u03bf\u03c5 \u03bc\u03c0\u03bf\u03c1\u03bf\u03cd\u03bd \u03bd\u03b1 \u03b5\u03be\u03c5\u03c0\u03b7\u03c1\u03b5\u03c4\u03ae\u03c3\u03bf\u03c5\u03bd \u03c0\u03b5\u03c1\u03b9\u03c3\u03c3\u03cc\u03c4\u03b5\u03c1\u03b1 \u03b1\u03c0\u03cc \u03ad\u03bd\u03b1 downstream workflows. \u0397 \u03b5\u03c0\u03b9\u03c4\u03c5\u03c7\u03af\u03b1 \u03b1\u03c5\u03c4\u03ae\u03c2 \u03c4\u03b7\u03c2 \u03b4\u03b9\u03b1\u03b4\u03c1\u03bf\u03bc\u03ae\u03c2 \u03b8\u03b1 \u03b5\u03be\u03b1\u03c1\u03c4\u03b7\u03b8\u03b5\u03af \u03b1\u03c0\u03cc datasets \u03c0\u03bf\u03c5 \u03b1\u03c0\u03bf\u03c4\u03c5\u03c0\u03ce\u03bd\u03bf\u03c5\u03bd \u03cc\u03c7\u03b9 \u03bc\u03cc\u03bd\u03bf \u03c4\u03b9 \u03b5\u03af\u03bd\u03b1\u03b9 \u03ad\u03bd\u03b1 \u03bc\u03cc\u03c1\u03b9\u03bf, \u03b1\u03bb\u03bb\u03ac \u03ba\u03b1\u03b9 \u03b3\u03b9\u03b1\u03c4\u03af \u03c4\u03bf \u03b5\u03be\u03b5\u03c4\u03ac\u03b6\u03b5\u03b9 \u03bf \u03c7\u03c1\u03ae\u03c3\u03c4\u03b7\u03c2.<\/p>\n<p>\u0393\u03b9\u03b1 \u03bc\u03b9\u03b1 \u03b5\u03c0\u03b9\u03c7\u03b5\u03af\u03c1\u03b7\u03c3\u03b7, \u03b7 \u03c0\u03c1\u03b1\u03ba\u03c4\u03b9\u03ba\u03ae \u03b1\u03be\u03af\u03b1 \u03b2\u03c1\u03af\u03c3\u03ba\u03b5\u03c4\u03b1\u03b9 \u03c3\u03c4\u03b7\u03bd \u03c0\u03b5\u03b9\u03b8\u03b1\u03c1\u03c7\u03af\u03b1 \u03c4\u03bf\u03c5 evaluation. \u03a4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b1\u03c0\u03bf\u03b4\u03b5\u03b9\u03ba\u03bd\u03cd\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03b1\u03bd\u03b1\u03ba\u03c4\u03ac \u03c4\u03b7 \u03c3\u03c9\u03c3\u03c4\u03ae \u03c0\u03bb\u03b7\u03c1\u03bf\u03c6\u03bf\u03c1\u03af\u03b1 \u03b3\u03b9\u03b1 \u03c4\u03b7 \u03c3\u03c9\u03c3\u03c4\u03ae \u03c0\u03c1\u03cc\u03b8\u03b5\u03c3\u03b7, \u03bc\u03b5 \u03b5\u03c0\u03b1\u03c1\u03ba\u03ae \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1, \u03c3\u03b1\u03c6\u03ae baselines \u03ba\u03b1\u03b9 \u03cc\u03c1\u03b9\u03b1 \u03bb\u03b5\u03b9\u03c4\u03bf\u03c5\u03c1\u03b3\u03af\u03b1\u03c2. \u0397 \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ae \u03bc\u03b5\u03b3\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03bf\u03c5 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf\u03c5 \u03b4\u03b5\u03bd \u03b1\u03bd\u03c4\u03b9\u03ba\u03b1\u03b8\u03b9\u03c3\u03c4\u03ac \u03b1\u03c5\u03c4\u03cc \u03c4\u03bf \u03ad\u03c1\u03b3\u03bf.<\/p>\n<section class=\"td-service-cta\">\n<div class=\"td-service-cta-content\">\n<p class=\"td-service-cta-eyebrow\">Context-aware AI \u03bc\u03b5 \u03bc\u03b5\u03c4\u03c1\u03ae\u03c3\u03b9\u03bc\u03b7 \u03b1\u03be\u03af\u03b1<\/p>\n<p class=\"td-service-cta-title\">\u03a3\u03c7\u03b5\u03b4\u03b9\u03ac\u03c3\u03c4\u03b5 retrieval \u03c0\u03bf\u03c5 \u03ba\u03b1\u03c4\u03b1\u03bb\u03b1\u03b2\u03b1\u03af\u03bd\u03b5\u03b9 \u03c4\u03b7\u03bd \u03c0\u03c1\u03cc\u03b8\u03b5\u03c3\u03b7, \u03cc\u03c7\u03b9 \u03bc\u03cc\u03bd\u03bf \u03c4\u03bf \u03b1\u03bd\u03c4\u03b9\u03ba\u03b5\u03af\u03bc\u03b5\u03bd\u03bf<\/p>\n<p>\u0397 TWO DOTS \u03c7\u03b1\u03c1\u03c4\u03bf\u03b3\u03c1\u03b1\u03c6\u03b5\u03af \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1, contexts, baselines \u03ba\u03b1\u03b9 guardrails \u03ce\u03c3\u03c4\u03b5 \u03ad\u03bd\u03b1 AI search \u03ae automation workflow \u03bd\u03b1 \u03b1\u03be\u03b9\u03bf\u03bb\u03bf\u03b3\u03b5\u03af\u03c4\u03b1\u03b9 \u03c0\u03ac\u03bd\u03c9 \u03c3\u03c4\u03b9\u03c2 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ad\u03c2 \u03b1\u03c0\u03bf\u03c6\u03ac\u03c3\u03b5\u03b9\u03c2 \u03c4\u03b7\u03c2 \u03b5\u03c0\u03b9\u03c7\u03b5\u03af\u03c1\u03b7\u03c3\u03ae\u03c2 \u03c3\u03b1\u03c2.<\/p>\n<div class=\"td-service-cta-actions\"><a class=\"td-service-cta-button\" href=\"https:\/\/twodots.gr\/aftomatismoi-epicheiriseon-ai\/\">\u0412\u0438\u0436\u0442\u0435 \u0430\u0432\u0442\u043e\u043c\u0430\u0442\u0438\u0437\u0430\u0446\u0438\u044f\u0442\u0430 \u043d\u0430 \u0431\u0438\u0437\u043d\u0435\u0441 \u043f\u0440\u043e\u0446\u0435\u0441\u0438\u0442\u0435 \u0438 \u0438\u0437\u043a\u0443\u0441\u0442\u0432\u0435\u043d\u0438\u044f \u0438\u043d\u0442\u0435\u043b\u0435\u043a\u0442<\/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\">\u0427\u0435\u0441\u0442\u043e \u0437\u0430\u0434\u0430\u0432\u0430\u043d\u0438 \u0432\u044a\u043f\u0440\u043e\u0441\u0438<\/p>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a4\u03b9 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c4\u03bf MolEmb;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u0395\u03af\u03bd\u03b1\u03b9 \u03ad\u03bd\u03b1 \u03b5\u03bb\u03b1\u03c6\u03c1\u03cd \u03c0\u03bb\u03b1\u03af\u03c3\u03b9\u03bf \u03c0\u03c1\u03bf\u03c3\u03b1\u03c1\u03bc\u03bf\u03b3\u03ae\u03c2 multimodal large language models \u03ce\u03c3\u03c4\u03b5 \u03bd\u03b1 \u03c0\u03b1\u03c1\u03ac\u03b3\u03bf\u03c5\u03bd \u03b5\u03c0\u03b1\u03bd\u03b1\u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03ae\u03c3\u03b9\u03bc\u03b1 molecular embeddings. \u0395\u03c5\u03b8\u03c5\u03b3\u03c1\u03b1\u03bc\u03bc\u03af\u03b6\u03b5\u03b9 \u03bc\u03bf\u03c1\u03b9\u03b1\u03ba\u03ac \u03c0\u03c1\u03bf\u03c6\u03af\u03bb \u03ba\u03b1\u03b9 \u03ba\u03b5\u03b9\u03bc\u03b5\u03bd\u03b9\u03ba\u03ad\u03c2 \u03c0\u03b5\u03c1\u03b9\u03b3\u03c1\u03b1\u03c6\u03ad\u03c2 \u03c3\u03b5 \u03ba\u03bf\u03b9\u03bd\u03cc \u03c7\u03ce\u03c1\u03bf \u03bc\u03b5 \u03b1\u03bc\u03c6\u03af\u03b4\u03c1\u03bf\u03bc\u03b7 contrastive \u03b5\u03ba\u03c0\u03b1\u03af\u03b4\u03b5\u03c5\u03c3\u03b7.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a0\u03bf\u03b9\u03b5\u03c2 \u03cc\u03c8\u03b5\u03b9\u03c2 \u03b5\u03bd\u03cc\u03c2 \u03bc\u03bf\u03c1\u03af\u03bf\u03c5 \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03b5\u03af;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u03a3\u03c4\u03b7 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03b7 \u03c5\u03bb\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b7 \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03b5\u03af \u03b4\u03b9\u03c3\u03b4\u03b9\u03ac\u03c3\u03c4\u03b1\u03c4\u03b7 \u03b1\u03c0\u03b5\u03b9\u03ba\u03cc\u03bd\u03b9\u03c3\u03b7 \u03ba\u03b1\u03b9 canonical SMILES. \u039f\u03b9 \u03c3\u03c5\u03b3\u03b3\u03c1\u03b1\u03c6\u03b5\u03af\u03c2 \u03b1\u03bd\u03b1\u03c6\u03ad\u03c1\u03bf\u03c5\u03bd conformers, reactions, spectra \u03ba\u03b1\u03b9 assay metadata \u03c9\u03c2 \u03bc\u03b5\u03bb\u03bb\u03bf\u03bd\u03c4\u03b9\u03ba\u03ad\u03c2 \u03c0\u03b9\u03b8\u03b1\u03bd\u03ad\u03c2 \u03cc\u03c8\u03b5\u03b9\u03c2.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u0393\u03b9\u03b1\u03c4\u03af \u03b4\u03b5\u03bd \u03b1\u03c1\u03ba\u03b5\u03af \u03ad\u03bd\u03b1 \u03b3\u03b5\u03bd\u03b9\u03ba\u03cc multimodal embedding model;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u03a3\u03c4\u03bf held-out MolTextNet retrieval, \u03c4\u03bf \u03b3\u03b5\u03bd\u03b9\u03ba\u03cc Qwen3-VL-Embedding-8B \u03c0\u03ad\u03c4\u03c5\u03c7\u03b5 \u03c0\u03b5\u03c1\u03af\u03c0\u03bf\u03c5 3% R@1, \u03b5\u03bd\u03ce \u03c4\u03b1 MolEmb \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03b1 \u03bc\u03b5\u03c4\u03ac \u03b1\u03c0\u03cc domain alignment \u03be\u03b5\u03c0\u03ad\u03c1\u03b1\u03c3\u03b1\u03bd \u03c4\u03bf 73% \u03ba\u03b1\u03b9 \u03c3\u03c4\u03b9\u03c2 \u03b4\u03cd\u03bf \u03ba\u03b1\u03c4\u03b5\u03c5\u03b8\u03cd\u03bd\u03c3\u03b5\u03b9\u03c2.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a4\u03b9 \u03bc\u03b5\u03c4\u03c1\u03ac \u03c4\u03bf MolCAR;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u039c\u03b5\u03c4\u03c1\u03ac \u03b1\u03bd \u03ad\u03bd\u03b1 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03b5\u03c0\u03b9\u03bb\u03ad\u03b3\u03b5\u03b9 \u03c4\u03bf \u03c3\u03c9\u03c3\u03c4\u03cc task context \u03b3\u03b9\u03b1 \u03c4\u03bf \u03af\u03b4\u03b9\u03bf \u03bc\u03cc\u03c1\u03b9\u03bf. \u039a\u03c1\u03b1\u03c4\u03ac \u03c4\u03b7 \u03bc\u03bf\u03c1\u03b9\u03b1\u03ba\u03ae \u03c4\u03b1\u03c5\u03c4\u03cc\u03c4\u03b7\u03c4\u03b1 \u03c3\u03c4\u03b1\u03b8\u03b5\u03c1\u03ae \u03ba\u03b1\u03b9 \u03b1\u03bb\u03bb\u03ac\u03b6\u03b5\u03b9 \u03c4\u03bf\u03bd \u03b5\u03c0\u03b9\u03c3\u03c4\u03b7\u03bc\u03bf\u03bd\u03b9\u03ba\u03cc \u03c6\u03b1\u03ba\u03cc, \u03ce\u03c3\u03c4\u03b5 \u03bd\u03b1 \u03b4\u03b9\u03b1\u03c7\u03c9\u03c1\u03af\u03b6\u03b5\u03b9 \u03c4\u03b7\u03bd \u03b1\u03bd\u03b1\u03b3\u03bd\u03ce\u03c1\u03b9\u03c3\u03b7 \u03bc\u03bf\u03c1\u03af\u03bf\u03c5 \u03b1\u03c0\u03cc \u03c4\u03b7\u03bd \u03ba\u03b1\u03c4\u03b1\u03bd\u03cc\u03b7\u03c3\u03b7 \u03c4\u03b7\u03c2 \u03bf\u03b4\u03b7\u03b3\u03af\u03b1\u03c2.<\/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 \u03ba\u03cd\u03c1\u03b9\u03bf \u03b5\u03cd\u03c1\u03b7\u03bc\u03b1 \u03b3\u03b9\u03b1 \u03c4\u03b1 \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u0397 context-aware \u03c3\u03c5\u03bc\u03c0\u03b5\u03c1\u03b9\u03c6\u03bf\u03c1\u03ac \u03c0\u03c1\u03bf\u03ad\u03ba\u03c5\u03c8\u03b5 \u03ba\u03c5\u03c1\u03af\u03c9\u03c2 \u03cc\u03c4\u03b1\u03bd \u03c4\u03bf supervision \u03c0\u03b5\u03c1\u03b9\u03b5\u03af\u03c7\u03b5 task-diverse, outcome-grounded \u03c0\u03b1\u03c1\u03b1\u03b4\u03b5\u03af\u03b3\u03bc\u03b1\u03c4\u03b1. \u0397 \u03b3\u03b5\u03bd\u03b9\u03ba\u03ae molecule-description alignment \u03b1\u03c0\u03cc \u03bc\u03cc\u03bd\u03b7 \u03c4\u03b7\u03c2 \u03b4\u03b5\u03bd \u03ad\u03b4\u03c9\u03c3\u03b5 \u03b1\u03be\u03b9\u03cc\u03c0\u03b9\u03c3\u03c4\u03bf context routing.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u039c\u03c0\u03bf\u03c1\u03b5\u03af \u03c4\u03bf MolEmb \u03bd\u03b1 \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03b7\u03b8\u03b5\u03af \u03ac\u03bc\u03b5\u03c3\u03b1 \u03c3\u03b5 drug discovery;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u0397 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1 \u03c0\u03b1\u03c1\u03bf\u03c5\u03c3\u03b9\u03ac\u03b6\u03b5\u03b9 \u03ba\u03b1\u03b9 \u03b1\u03be\u03b9\u03bf\u03bb\u03bf\u03b3\u03b5\u03af \u03bc\u03b9\u03b1 \u03b5\u03c1\u03b5\u03c5\u03bd\u03b7\u03c4\u03b9\u03ba\u03ae \u03b4\u03b9\u03b1\u03b4\u03c1\u03bf\u03bc\u03ae, \u03cc\u03c7\u03b9 \u03ad\u03c4\u03bf\u03b9\u03bc\u03bf \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1 \u03bb\u03ae\u03c8\u03b7\u03c2 \u03c6\u03b1\u03c1\u03bc\u03b1\u03ba\u03b5\u03c5\u03c4\u03b9\u03ba\u03ce\u03bd \u03ae \u03ba\u03bb\u03b9\u03bd\u03b9\u03ba\u03ce\u03bd \u03b1\u03c0\u03bf\u03c6\u03ac\u03c3\u03b5\u03c9\u03bd. \u0391\u03c0\u03b1\u03b9\u03c4\u03bf\u03cd\u03bd\u03c4\u03b1\u03b9 \u03c0\u03c1\u03cc\u03c3\u03b8\u03b5\u03c4\u03b7 \u03b5\u03c0\u03b9\u03ba\u03cd\u03c1\u03c9\u03c3\u03b7, \u03c0\u03bb\u03bf\u03c5\u03c3\u03b9\u03cc\u03c4\u03b5\u03c1\u03b5\u03c2 \u03bc\u03bf\u03c1\u03b9\u03b1\u03ba\u03ad\u03c2 \u03cc\u03c8\u03b5\u03b9\u03c2 \u03ba\u03b1\u03b9 \u03c0\u03b1\u03c1\u03b1\u03b3\u03c9\u03b3\u03b9\u03ba\u03bf\u03af \u03ad\u03bb\u03b5\u03b3\u03c7\u03bf\u03b9.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a4\u03b9 \u03c3\u03b7\u03bc\u03b1\u03af\u03bd\u03bf\u03c5\u03bd \u03c4\u03b1 \u03c5\u03c8\u03b7\u03bb\u03ac \u03c0\u03bf\u03c3\u03bf\u03c3\u03c4\u03ac Context R@1;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u03a3\u03b7\u03bc\u03b1\u03af\u03bd\u03bf\u03c5\u03bd \u03cc\u03c4\u03b9 \u03c3\u03c4\u03bf \u03b5\u03bb\u03b5\u03b3\u03c7\u03cc\u03bc\u03b5\u03bd\u03bf MolCAR benchmark \u03c4\u03bf \u03c3\u03c9\u03c3\u03c4\u03cc context \u03ba\u03b1\u03c4\u03b1\u03c4\u03ac\u03c7\u03b8\u03b7\u03ba\u03b5 \u03c0\u03c1\u03ce\u03c4\u03bf \u03b1\u03bd\u03ac\u03bc\u03b5\u03c3\u03b1 \u03c3\u03c4\u03b1 contexts \u03c4\u03bf\u03c5 \u03af\u03b4\u03b9\u03bf\u03c5 \u03bc\u03bf\u03c1\u03af\u03bf\u03c5. \u0394\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03b3\u03b5\u03bd\u03b9\u03ba\u03cc \u03c0\u03bf\u03c3\u03bf\u03c3\u03c4\u03cc \u03b1\u03ba\u03c1\u03af\u03b2\u03b5\u03b9\u03b1\u03c2 \u03c3\u03b5 \u03cc\u03bb\u03b7 \u03c4\u03b7 \u03c7\u03b7\u03bc\u03b5\u03af\u03b1.<\/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\u03b1\u03ba\u03c4\u03b9\u03ba\u03cc \u03bc\u03ac\u03b8\u03b7\u03bc\u03b1 \u03b3\u03b9\u03b1 \u03ac\u03bb\u03bb\u03bf\u03c5\u03c2 \u03ba\u03bb\u03ac\u03b4\u03bf\u03c5\u03c2;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u03a9\u03c2 \u03c3\u03c7\u03b5\u03b4\u03b9\u03b1\u03c3\u03c4\u03b9\u03ba\u03ae \u03b1\u03bd\u03b1\u03bb\u03bf\u03b3\u03af\u03b1, \u03ad\u03bd\u03b1 retrieval system \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b5\u03ba\u03c0\u03b1\u03b9\u03b4\u03b5\u03cd\u03b5\u03c4\u03b1\u03b9 \u03ba\u03b1\u03b9 \u03bd\u03b1 \u03b1\u03be\u03b9\u03bf\u03bb\u03bf\u03b3\u03b5\u03af\u03c4\u03b1\u03b9 \u03c0\u03ac\u03bd\u03c9 \u03c3\u03c4\u03b9\u03c2 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ad\u03c2 \u03c0\u03c1\u03bf\u03b8\u03ad\u03c3\u03b5\u03b9\u03c2 \u03c7\u03c1\u03ae\u03c3\u03b7\u03c2, \u03cc\u03c7\u03b9 \u03bc\u03cc\u03bd\u03bf \u03c3\u03c4\u03b7\u03bd \u03c4\u03b1\u03c5\u03c4\u03cc\u03c4\u03b7\u03c4\u03b1 \u03c4\u03c9\u03bd \u03b1\u03bd\u03c4\u03b9\u03ba\u03b5\u03b9\u03bc\u03ad\u03bd\u03c9\u03bd. \u0397 \u03bc\u03b5\u03c4\u03b1\u03c6\u03bf\u03c1\u03ac \u03b1\u03c5\u03c4\u03ae \u03b5\u03af\u03bd\u03b1\u03b9 \u03b5\u03c1\u03bc\u03b7\u03bd\u03b5\u03af\u03b1 \u03b3\u03b9\u03b1 \u03c0\u03c1\u03bf\u03ca\u03cc\u03bd\u03c4\u03b1 AI \u03ba\u03b1\u03b9 \u03cc\u03c7\u03b9 \u03c0\u03b5\u03af\u03c1\u03b1\u03bc\u03b1 \u03c4\u03b7\u03c2 \u03bc\u03b5\u03bb\u03ad\u03c4\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\">\u0418\u0437\u0442\u043e\u0447\u043d\u0438\u0446\u0438<\/p>\n<ul>\n<li><a href=\"https:\/\/arxiv.org\/abs\/2608.23646\" target=\"_blank\" rel=\"noopener\">Zhao et al.: MolEmb &#8211; Multimodal Large Language Models Can Be Strong Molecular Embedding Models<\/a><\/li>\n<li><a href=\"https:\/\/openreview.net\/pdf?id=dD95A7ATXn\" target=\"_blank\" rel=\"noopener\">OpenReview: \u03c0\u03bb\u03ae\u03c1\u03b5\u03c2 paper \u03ba\u03b1\u03b9 \u03c3\u03c5\u03bc\u03c0\u03bb\u03b7\u03c1\u03c9\u03bc\u03b1\u03c4\u03b9\u03ba\u03bf\u03af \u03c0\u03af\u03bd\u03b1\u03ba\u03b5\u03c2 \u03c4\u03bf\u03c5 MolEmb<\/a><\/li>\n<li><a href=\"https:\/\/github.com\/InternLM\/Intern-S1\" target=\"_blank\" rel=\"noopener\">InternLM: \u03b5\u03c0\u03af\u03c3\u03b7\u03bc\u03bf repository \u03c4\u03bf\u03c5 Intern-S1<\/a><\/li>\n<li><a href=\"https:\/\/www.nist.gov\/publications\/artificial-intelligence-risk-management-framework-ai-rmf-10\" target=\"_blank\" rel=\"noopener\">NIST: Artificial Intelligence Risk Management Framework 1.0<\/a><\/li>\n<\/ul>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>\u0397 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7 MolEmb \u03b4\u03b5\u03af\u03c7\u03bd\u03b5\u03b9 \u03c0\u03ce\u03c2 \u03c4\u03b1 multimodal AI \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03b1 \u03bc\u03c0\u03bf\u03c1\u03bf\u03cd\u03bd \u03bd\u03b1 \u03c0\u03b1\u03c1\u03ac\u03b3\u03bf\u03c5\u03bd context-aware molecular embeddings \u03ba\u03b1\u03b9 \u03b3\u03b9\u03b1\u03c4\u03af \u03c4\u03bf supervision \u03ba\u03b1\u03b8\u03bf\u03c1\u03af\u03b6\u03b5\u03b9 \u03c4\u03b7\u03bd \u03b1\u03be\u03af\u03b1 \u03c4\u03bf\u03c5 retrieval.<\/p>","protected":false},"author":1,"featured_media":111641,"comment_status":"open","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_gspb_post_css":"","footnotes":""},"categories":[199],"tags":[20639,21280,21279,21278,18467],"class_list":["post-98919","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-techniti-noimosyni","tag-contrastive-learning","tag-drug-discovery","tag-molecular-embeddings","tag-molemb","tag-multimodal-ai"],"_links":{"self":[{"href":"https:\/\/twodots.gr\/bg\/wp-json\/wp\/v2\/posts\/98919","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/twodots.gr\/bg\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/twodots.gr\/bg\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/twodots.gr\/bg\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/twodots.gr\/bg\/wp-json\/wp\/v2\/comments?post=98919"}],"version-history":[{"count":1,"href":"https:\/\/twodots.gr\/bg\/wp-json\/wp\/v2\/posts\/98919\/revisions"}],"predecessor-version":[{"id":111642,"href":"https:\/\/twodots.gr\/bg\/wp-json\/wp\/v2\/posts\/98919\/revisions\/111642"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/twodots.gr\/bg\/wp-json\/wp\/v2\/media\/111641"}],"wp:attachment":[{"href":"https:\/\/twodots.gr\/bg\/wp-json\/wp\/v2\/media?parent=98919"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/twodots.gr\/bg\/wp-json\/wp\/v2\/categories?post=98919"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/twodots.gr\/bg\/wp-json\/wp\/v2\/tags?post=98919"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}