	{"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\/br\/blog\/is-preference-alignment-always-the-best-option-to-enhance-llm-based-translation-an-empirical-analysis\/","title":{"rendered":"O alinhamento de prefer\u00eancias \u00e9 sempre a melhor op\u00e7\u00e3o para aprimorar a tradu\u00e7\u00e3o baseada em LLM? Uma an\u00e1lise emp\u00edrica"},"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 e Universidade de Lisboa (Unidade ELLIS de Lisboa)<\/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\">Leia o artigo <\/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>Temos o prazer de compartilhar o mais recente artigo de pesquisa de nosso aluno de doutorado, Hippolyte Gisserot-Boukhlef, que foi selecionado como um artigo em destaque na Nona Confer\u00eancia sobre Tradu\u00e7\u00e3o Autom\u00e1tica (WMT24) em novembro de 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;\">Resumo<\/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>O artigo explora a efic\u00e1cia das t\u00e9cnicas de otimiza\u00e7\u00e3o de prefer\u00eancias, especialmente em compara\u00e7\u00e3o com o ajuste fino supervisionado. Embora a otimiza\u00e7\u00e3o da prefer\u00eancia data seja uma pr\u00e1tica comum na tradu\u00e7\u00e3o autom\u00e1tica, muitas vezes aproveitando resultados de alta qualidade de modelos externos como o GPT-4, as implica\u00e7\u00f5es mais amplas dessa abordagem ainda n\u00e3o s\u00e3o totalmente compreendidas. \u00c9 interessante notar que nossas descobertas sugerem que o uso do pr\u00f3prio modelo como autodidata pode alcan\u00e7ar uma qualidade de tradu\u00e7\u00e3o compar\u00e1vel, eliminando as complexidades e restri\u00e7\u00f5es associadas \u00e0 depend\u00eancia de sistemas externos.<\/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\">Acesse a apresenta\u00e7\u00e3o de slides <\/span><\/a><\/div><\/div><\/div><\/div><\/article><\/p>","protected":false},"excerpt":{"rendered":"<p>As m\u00e9tricas neurais para avalia\u00e7\u00e3o de tradu\u00e7\u00e3o autom\u00e1tica (MT) t\u00eam se tornado cada vez mais proeminentes devido \u00e0 sua correla\u00e7\u00e3o superior com julgamentos humanos em compara\u00e7\u00e3o com as m\u00e9tricas lexicais tradicionais<\/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\/br\/wp-json\/wp\/v2\/blog\/293089","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.artefact.com\/br\/wp-json\/wp\/v2\/blog"}],"about":[{"href":"https:\/\/www.artefact.com\/br\/wp-json\/wp\/v2\/types\/blog"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.artefact.com\/br\/wp-json\/wp\/v2\/media\/293097"}],"wp:attachment":[{"href":"https:\/\/www.artefact.com\/br\/wp-json\/wp\/v2\/media?parent=293089"}],"wp:term":[{"taxonomy":"blog-category","embeddable":true,"href":"https:\/\/www.artefact.com\/br\/wp-json\/wp\/v2\/blog-category?post=293089"},{"taxonomy":"blog-language","embeddable":true,"href":"https:\/\/www.artefact.com\/br\/wp-json\/wp\/v2\/blog-language?post=293089"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}