{"id":172,"date":"2024-06-28T11:10:30","date_gmt":"2024-06-28T11:10:30","guid":{"rendered":"https:\/\/www.asm15.fr\/index.php\/2024\/06\/28\/graphreader-un-systeme-ia-base-sur-les-graphes-pour-structurer-les-longs-textes-et-les-explorer-de-maniere-autonome\/"},"modified":"2024-06-28T11:10:30","modified_gmt":"2024-06-28T11:10:30","slug":"graphreader-un-systeme-ia-base-sur-les-graphes-pour-structurer-les-longs-textes-et-les-explorer-de-maniere-autonome","status":"publish","type":"post","link":"https:\/\/www.asm15.fr\/index.php\/2024\/06\/28\/graphreader-un-systeme-ia-base-sur-les-graphes-pour-structurer-les-longs-textes-et-les-explorer-de-maniere-autonome\/","title":{"rendered":"GraphReader: Un Syst\u00e8me IA Bas\u00e9 sur les Graphes pour Structurer les Longs Textes et les Explorer de Mani\u00e8re Autonome"},"content":{"rendered":"<p><img decoding=\"async\" src=\"https:\/\/oaidalleapiprodscus.blob.core.windows.net\/private\/org-PXteLUy4B6mslwRon6h7ri9z\/user-0jfma6aPNvZyLXZUbw4CmvZG\/img-JS2CPCGEVsmo55MA1y2e3dZZ.png?st=2024-06-28T10%3A10%3A29Z&#038;se=2024-06-28T12%3A10%3A29Z&#038;sp=r&#038;sv=2023-11-03&#038;sr=b&#038;rscd=inline&#038;rsct=image\/png&#038;skoid=6aaadede-4fb3-4698-a8f6-684d7786b067&#038;sktid=a48cca56-e6da-484e-a814-9c849652bcb3&#038;skt=2024-06-28T01%3A43%3A00Z&#038;ske=2024-06-29T01%3A43%3A00Z&#038;sks=b&#038;skv=2023-11-03&#038;sig=pkBUJPqZiUO2XzUKSKw0D\/3Ckxs\/K5GXCxR949jNZL4%3D\"><\/p>\n<p>Les grands mod\u00e8les de langage (LLM) ont r\u00e9alis\u00e9 des avanc\u00e9es impressionnantes en compr\u00e9hension et g\u00e9n\u00e9ration de texte, mais leur capacit\u00e9 \u00e0 g\u00e9rer des contextes longs reste limit\u00e9e. En r\u00e9ponse \u00e0 ce d\u00e9fi, des chercheurs d&rsquo;institutions renomm\u00e9es, dont le laboratoire AI de Shanghai et l\u2019Universit\u00e9 de Manchester, ont d\u00e9velopp\u00e9 GraphReader, un syst\u00e8me d&rsquo;agent bas\u00e9 sur des graphes. GraphReader segmente les longs textes en morceaux, extrayant des informations cl\u00e9s et des faits atomiques pour construire une structure de graphe. Cette m\u00e9thode exploite efficacement les d\u00e9pendances \u00e0 long terme et les relations multi-sauts au sein du texte. L&rsquo;agent explore ce graphe de mani\u00e8re autonome, notant et r\u00e9fl\u00e9chissant jusqu&rsquo;\u00e0 obtenir suffisamment d&rsquo;informations pour g\u00e9n\u00e9rer une r\u00e9ponse ad\u00e9quate. <\/p>\n<p>Les \u00e9valuations de GraphReader montrent des performances sup\u00e9rieures sur plusieurs benchmarks. Par exemple, sur le dataset HotpotQA, GraphReader atteint des scores EM de 55.0% et F1 de 70.0%, surpassant des mod\u00e8les comme GPT-4-128k. Ce syst\u00e8me repr\u00e9sente une avanc\u00e9e significative pour le traitement des contextes longs, ouvrant des possibilit\u00e9s pour des applications complexes en analyse de documents et assistance \u00e0 la recherche.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Les grands mod\u00e8les de langage (LLM) ont r\u00e9alis\u00e9 des avanc\u00e9es impressionnantes en compr\u00e9hension et g\u00e9n\u00e9ration de texte, mais leur capacit\u00e9 \u00e0 g\u00e9rer des contextes longs reste limit\u00e9e. En r\u00e9ponse \u00e0 ce d\u00e9fi, des chercheurs d&rsquo;institutions renomm\u00e9es, dont le laboratoire AI de Shanghai et l\u2019Universit\u00e9 de Manchester, ont d\u00e9velopp\u00e9 GraphReader, un syst\u00e8me d&rsquo;agent bas\u00e9 sur des [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-172","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v25.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>GraphReader: Un Syst\u00e8me IA Bas\u00e9 sur les Graphes pour Structurer les Longs Textes et les Explorer de Mani\u00e8re Autonome - IA &amp; TECHNOLOGIES<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.asm15.fr\/index.php\/2024\/06\/28\/graphreader-un-systeme-ia-base-sur-les-graphes-pour-structurer-les-longs-textes-et-les-explorer-de-maniere-autonome\/\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"GraphReader: Un Syst\u00e8me IA Bas\u00e9 sur les Graphes pour Structurer les Longs Textes et les Explorer de Mani\u00e8re Autonome - IA &amp; TECHNOLOGIES\" \/>\n<meta property=\"og:description\" content=\"Les grands mod\u00e8les de langage (LLM) ont r\u00e9alis\u00e9 des avanc\u00e9es impressionnantes en compr\u00e9hension et g\u00e9n\u00e9ration de texte, mais leur capacit\u00e9 \u00e0 g\u00e9rer des contextes longs reste limit\u00e9e. 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