	{"id":293089,"date":"2024-12-03T17:19:23","date_gmt":"2024-12-03T17:19:23","guid":{"rendered":"https:\/\/www.artefact.com\/?post_type=blog&#038;p=293089"},"modified":"2024-12-03T17:20:10","modified_gmt":"2024-12-03T17:20:10","slug":"is-preference-alignment-always-the-best-option-to-enhance-llm-based-translation-an-empirical-analysis","status":"publish","type":"blog","link":"https:\/\/www.artefact.com\/fr\/blog\/is-preference-alignment-always-the-best-option-to-enhance-llm-based-translation-an-empirical-analysis\/","title":{"rendered":"L'alignement des pr\u00e9f\u00e9rences est-il toujours la meilleure option pour am\u00e9liorer la traduction bas\u00e9e sur les grands mod\u00e8les linguistiques ? Une analyse empirique"},"content":{"rendered":"<p><div class=\"fusion-fullwidth fullwidth-box fusion-builder-row-1 fusion-flex-container nonhundred-percent-fullwidth non-hundred-percent-height-scrolling\" style=\"--link_color: var(--awb-color6);--awb-border-radius-top-left:0px;--awb-border-radius-top-right:0px;--awb-border-radius-bottom-right:0px;--awb-border-radius-bottom-left:0px;--awb-background-color:var(--awb-color1);--awb-flex-wrap:wrap;\" ><div class=\"fusion-builder-row fusion-row fusion-flex-align-items-flex-start fusion-flex-content-wrap\" style=\"max-width:calc( 1440px + 20px );margin-left: calc(-20px \/ 2 );margin-right: calc(-20px \/ 2 );\"><div class=\"fusion-layout-column fusion_builder_column fusion-builder-column-0 fusion_builder_column_1_1 1_1 fusion-flex-column\" style=\"--awb-bg-size:cover;--awb-width-large:100%;--awb-margin-top-large:0px;--awb-spacing-right-large:10px;--awb-margin-bottom-large:0px;--awb-spacing-left-large:10px;--awb-width-medium:100%;--awb-order-medium:0;--awb-spacing-right-medium:10px;--awb-spacing-left-medium:10px;--awb-width-small:100%;--awb-order-small:0;--awb-spacing-right-small:10px;--awb-spacing-left-small:10px;\"><div class=\"fusion-column-wrapper fusion-column-has-shadow fusion-flex-justify-content-flex-start fusion-content-layout-column\"><div class=\"fusion-text fusion-text-1 description\" style=\"--awb-text-color:var(--awb-color5);--awb-text-font-family:&quot;PT Serif&quot;;--awb-text-font-style:normal;--awb-text-font-weight:400;\"><p>Hippolyte Gisserot-Boukhlef, Ricardo Rei, Emmanuel Malherbe, C\u00e9line Hudelot, Pierre Colombo, Nuno M. Guerreiro<\/p>\n<p>Artefact Research Center, Unbabel, Equall, MICS CentraleSup\u00e9lec, Universit\u00e9 Paris-Saclay, Instituto de Telecomunica\u00e7\u00f5es, Instituto Superior T\u00e9cnico &amp; Universidade de Lisboa (Lisbon ELLIS Unit)<\/p>\n<\/div><\/div><\/div><\/div><\/div><article class=\"fusion-fullwidth fullwidth-box fusion-builder-row-2 fusion-flex-container nonhundred-percent-fullwidth non-hundred-percent-height-scrolling\" style=\"--link_color: var(--awb-color6);--awb-border-radius-top-left:0px;--awb-border-radius-top-right:0px;--awb-border-radius-bottom-right:0px;--awb-border-radius-bottom-left:0px;--awb-background-color:var(--awb-color1);--awb-flex-wrap:wrap;\" ><div class=\"fusion-builder-row fusion-row fusion-flex-align-items-flex-start fusion-flex-justify-content-center fusion-flex-content-wrap\" style=\"max-width:calc( 1440px + 20px );margin-left: calc(-20px \/ 2 );margin-right: calc(-20px \/ 2 );\"><div class=\"fusion-layout-column fusion_builder_column fusion-builder-column-1 fusion_builder_column_1_1 1_1 fusion-flex-column\" style=\"--awb-bg-size:cover;--awb-width-large:100%;--awb-margin-top-large:0px;--awb-spacing-right-large:10px;--awb-margin-bottom-large:0px;--awb-spacing-left-large:10px;--awb-width-medium:100%;--awb-order-medium:0;--awb-spacing-right-medium:10px;--awb-spacing-left-medium:10px;--awb-width-small:100%;--awb-order-small:0;--awb-spacing-right-small:10px;--awb-spacing-left-small:10px;\"><div class=\"fusion-column-wrapper fusion-column-has-shadow fusion-flex-justify-content-flex-start fusion-content-layout-column\"><div style=\"text-align:center;\"><a class=\"fusion-button button-flat fusion-button-default-size button-default fusion-button-default button-1 fusion-button-default-span fusion-button-default-type\" target=\"_self\" href=\"https:\/\/www.artefact.com\/\/wp-content\/uploads\/2024\/12\/Is-Preference-Alignment-Always-the-Best-Option-to-Enhance-LLM-Based.pdf\"><span class=\"fusion-button-text awb-button__text awb-button__text--default\">Lire l'article <\/span><\/a><\/div><div class=\"fusion-text fusion-text-2\" style=\"--awb-font-size:20px;--awb-line-height:1.6;--awb-letter-spacing:var(--awb-typography4-letter-spacing);--awb-text-transform:var(--awb-typography4-text-transform);--awb-text-color:var(--awb-color5);--awb-text-font-family:var(--awb-typography4-font-family);--awb-text-font-weight:var(--awb-typography4-font-weight);--awb-text-font-style:var(--awb-typography4-font-style);\"><p>Nous avons le plaisir de partager le dernier article de recherche de notre doctorant, Hippolyte Gisserot-Boukhlef, qui a \u00e9t\u00e9 s\u00e9lectionn\u00e9 comme article vedette \u00e0 la neuvi\u00e8me conf\u00e9rence sur la traduction automatique (WMT24) en novembre 2024.<\/p>\n<\/div><div class=\"fusion-title title fusion-title-1 fusion-sep-none fusion-title-text fusion-title-size-two\" style=\"--awb-text-color:var(--awb-color6);--awb-margin-bottom-small:8px;--awb-font-size:30px;\"><h2 class=\"fusion-title-heading title-heading-left fusion-responsive-typography-calculated\" style=\"font-family:&quot;PT Serif&quot;;font-style:normal;font-weight:700;margin:0;letter-spacing:1.6px;font-size:1em;--fontSize:30;line-height:1.47;\">R\u00e9sum\u00e9<\/h2><\/div><div class=\"fusion-text fusion-text-3\" style=\"--awb-font-size:20px;--awb-line-height:1.6;--awb-letter-spacing:var(--awb-typography4-letter-spacing);--awb-text-transform:var(--awb-typography4-text-transform);--awb-text-color:var(--awb-color5);--awb-text-font-family:var(--awb-typography4-font-family);--awb-text-font-weight:var(--awb-typography4-font-weight);--awb-text-font-style:var(--awb-typography4-font-style);\"><p>L'article explore l'efficacit\u00e9 des techniques d'optimisation des pr\u00e9f\u00e9rences, en particulier en comparaison avec le r\u00e9glage fin supervis\u00e9. Bien que l'optimisation des pr\u00e9f\u00e9rences data soit une pratique courante dans le domaine de la traduction automatique - qui s'appuie souvent sur les r\u00e9sultats de haute qualit\u00e9 de mod\u00e8les externes tels que GPT-4 - les implications plus larges de cette approche ne sont pas encore totalement comprises. Il est int\u00e9ressant de noter que nos r\u00e9sultats sugg\u00e8rent que l'utilisation du mod\u00e8le lui-m\u00eame en tant qu'auto-apprentissage peut permettre d'obtenir une qualit\u00e9 de traduction comparable, tout en \u00e9liminant les complexit\u00e9s et les contraintes associ\u00e9es \u00e0 l'utilisation de syst\u00e8mes externes.<\/p>\n<\/div><div style=\"text-align:center;\"><a class=\"fusion-button button-flat fusion-button-default-size button-default fusion-button-default button-2 fusion-button-default-span fusion-button-default-type\" target=\"_self\" href=\"https:\/\/www.artefact.com\/\/wp-content\/uploads\/2024\/12\/presentation_vdef.pptx.pdf\"><span class=\"fusion-button-text awb-button__text awb-button__text--default\">Acc\u00e9der au diaporama <\/span><\/a><\/div><\/div><\/div><\/div><\/article><\/p>","protected":false},"excerpt":{"rendered":"<p>Les m\u00e9triques neuronales pour l'\u00e9valuation de la traduction automatique (TA) sont devenues de plus en plus importantes en raison de leur meilleure corr\u00e9lation avec les jugements humains par rapport aux m\u00e9triques lexicales traditionnelles.<\/p>","protected":false},"featured_media":293097,"parent":0,"template":"","meta":{"_acf_changed":false,"ep_exclude_from_search":false},"blog-category":[21939],"blog-language":[2991,2993],"class_list":["post-293089","blog","type-blog","status-publish","has-post-thumbnail","hentry","blog-category-medium","blog-language-en","blog-language-fr"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.artefact.com\/fr\/wp-json\/wp\/v2\/blog\/293089","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.artefact.com\/fr\/wp-json\/wp\/v2\/blog"}],"about":[{"href":"https:\/\/www.artefact.com\/fr\/wp-json\/wp\/v2\/types\/blog"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.artefact.com\/fr\/wp-json\/wp\/v2\/media\/293097"}],"wp:attachment":[{"href":"https:\/\/www.artefact.com\/fr\/wp-json\/wp\/v2\/media?parent=293089"}],"wp:term":[{"taxonomy":"blog-category","embeddable":true,"href":"https:\/\/www.artefact.com\/fr\/wp-json\/wp\/v2\/blog-category?post=293089"},{"taxonomy":"blog-language","embeddable":true,"href":"https:\/\/www.artefact.com\/fr\/wp-json\/wp\/v2\/blog-language?post=293089"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}