{"@context":"https://schema.org","@type":"NewsArticle","generatedAt":"2026-07-23T06:40:50.084Z","headline":"AutoIndex：面向检索的文档表示程序学习框架","description":"AutoIndex 将文档表示视为可执行程序进行优化，通过智能体诊断检索失败模式并合成候选程序，在固定 BM25 检索器下迭代改进索引质量。在 CRUMB 多任务基准上，该方法在所有 8 项任务中均超越静态全文 BM25 基线，平均 Recall@100 提升 +8.4%、nDCG@10 提升 +8.3%。","url":"https://www.aioga.com/news/cmrwoddqa00rlrobhymks00dv/","mainEntityOfPage":"https://www.aioga.com/news/cmrwoddqa00rlrobhymks00dv/","datePublished":"2026-07-21T00:00:00.000Z","dateModified":"2026-07-21T00:00:00.000Z","inLanguage":"zh-CN","publisher":{"@type":"NewsMediaOrganization","name":"Aioga","url":"https://www.aioga.com"},"citation":["https://arxiv.org/abs/2607.18603","https://aihot.virxact.com/items/cmrwoddqa00rlrobhymks00dv"],"canonicalUrl":"https://www.aioga.com/news/cmrwoddqa00rlrobhymks00dv/","directAnswer":{"@type":"Answer","text":"Aioga 编辑摘要：AutoIndex 将文档表示视为可执行程序进行优化，通过智能体诊断检索失败模式并合成候选程序，在固定 BM25 检索器下迭代改进索引质量。 Aioga 将其归入「论文研究」方向，重点关注它对真实使用和行业竞争的影响。","url":"https://www.aioga.com/news/cmrwoddqa00rlrobhymks00dv/","dateCreated":"2026-07-21T00:00:00.000Z","author":{"@type":"Organization","@id":"https://www.aioga.com/authors/aioga-editorial/#editorial-team","name":"Aioga Editorial Team","url":"https://www.aioga.com/authors/aioga-editorial/"}},"evidence":[{"@type":"CreativeWork","name":"arXiv source article","url":"https://arxiv.org/abs/2607.18603","datePublished":"2026-07-21T00:00:00.000Z","provider":{"@type":"Organization","name":"arXiv","url":"https://arxiv.org/abs/2607.18603"}},{"@type":"CreativeWork","name":"AIHot archive record","url":"https://aihot.virxact.com/items/cmrwoddqa00rlrobhymks00dv","datePublished":"2026-07-21T00:00:00.000Z","provider":{"@type":"Organization","name":"AIHot","url":"https://aihot.virxact.com/items/cmrwoddqa00rlrobhymks00dv"}}],"aggregationSource":"HuggingFace Daily Papers（社区热门论文）","originalPublisher":{"name":"arXiv","url":"https://arxiv.org/abs/2607.18603"},"article":{"id":"cmrwoddqa00rlrobhymks00dv","slug":"cmrwoddqa00rlrobhymks00dv","url":"https://www.aioga.com/news/cmrwoddqa00rlrobhymks00dv/","title":"AutoIndex：面向检索的文档表示程序学习框架","title_en":"AutoIndex： Learning Representation Programs for Retrieval","summary":"AutoIndex 将文档表示视为可执行程序进行优化，通过智能体诊断检索失败模式并合成候选程序，在固定 BM25 检索器下迭代改进索引质量。在 CRUMB 多任务基准上，该方法在所有 8 项任务中均超越静态全文 BM25 基线，平均 Recall@100 提升 +8.4%、nDCG@10 提升 +8.3%。","source":"HuggingFace Daily Papers（社区热门论文）","sourceUrl":"https://arxiv.org/abs/2607.18603","aiHotUrl":"https://aihot.virxact.com/items/cmrwoddqa00rlrobhymks00dv","publishedAt":"2026-07-21T00:00:00.000Z","category":"论文研究","score":58,"selected":false,"articleBody":["arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website.","Have an idea for a project that will add value for arXiv's community? 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On the CRUMB multitask benchmark, this method outperforms the static full-text BM25 baseline on all 8 tasks, with an average Recall@100 improvement of +8.4% and nDCG@10 improvement of +8.3%.","category":"Research","source":"HuggingFace Daily Papers（社区热门论文）","aggregationSource":"HuggingFace Daily Papers（社区热门论文）","pageTitle":"AutoIndex: A Program Learning Framework for Retrieval-Oriented Document Representation - Aioga AI News","description":"AutoIndex treats document representations as executable programs for optimization, diagnosing retrieval failure patterns through agents and synthesizing candidate programs, iterati...","url":"https://www.aioga.com/en/news/cmrwoddqa00rlrobhymks00dv/","contentTranslated":true,"sourceHash":"d19d56bb9b695a28","translatedAt":"2026-07-22T23:42:00.725Z"},"ja":{"title":"AutoIndex：検索向け文書表現プログラム学習フレームワーク","summary":"AutoIndex は文書の表現を実行可能プログラムとして最適化し、エージェントが検索失敗パターンを診断して候補プログラムを合成し、固定 BM25 検索器の下でインデックス品質を反復的に改善します。CRUMB マルチタスクベンチマークでは、この手法は 8 つのタスクすべてで静的全文 BM25 ベースラインを上回り、平均で Recall@100 が +8.4%、nDCG@10 が +8.3% 向上しました。","category":"論文研究","source":"HuggingFace Daily Papers（社区热门论文）","aggregationSource":"HuggingFace Daily Papers（社区热门论文）","pageTitle":"AutoIndex：検索向け文書表現プログラム学習フレームワーク - Aioga AIニュース","description":"AutoIndex は文書の表現を実行可能プログラムとして最適化し、エージェントが検索失敗パターンを診断して候補プログラムを合成し、固定 BM25 検索器の下でインデックス品質を反復的に改善します。CRUMB マルチタスクベンチマークでは、この手法は 8 つのタスクすべてで静的全文 BM25 ベースラインを上回り、平均で Recall@100 が +8.4%...","url":"https://www.aioga.com/ja/news/cmrwoddqa00rlrobhymks00dv/","contentTranslated":true,"sourceHash":"d19d56bb9b695a28","translatedAt":"2026-07-22T23:42:12.745Z"},"ko":{"title":"AutoIndex：검색 지향 문서 표현 프로그램 학습 프레임워크","summary":"AutoIndex는 문서를 실행 가능한 프로그램으로 간주하여 최적화하고, 에이전트를 통해 검색 실패 패턴을 진단하고 후보 프로그램을 합성하며, 고정된 BM25 검색기 하에서 인덱스 품질을 반복적으로 향상시킨다. CRUMB 다중 작업 벤치마크에서 이 방법은 8개의 모든 작업에서 정적 전체 텍스트 BM25 기준을 능가했으며, 평균 Recall@100은 +8.4%, nDCG@10은 +8.3% 향상되었다.","category":"연구","source":"HuggingFace Daily Papers（社区热门论文）","aggregationSource":"HuggingFace Daily Papers（社区热门论文）","pageTitle":"AutoIndex：검색 지향 문서 표현 프로그램 학습 프레임워크 - Aioga AI 뉴스","description":"AutoIndex는 문서를 실행 가능한 프로그램으로 간주하여 최적화하고, 에이전트를 통해 검색 실패 패턴을 진단하고 후보 프로그램을 합성하며, 고정된 BM25 검색기 하에서 인덱스 품질을 반복적으로 향상시킨다. CRUMB 다중 작업 벤치마크에서 이 방법은 8개의 모든 작업에서 정적 전체 텍스트 BM25 기준을 능가했으며,...","url":"https://www.aioga.com/ko/news/cmrwoddqa00rlrobhymks00dv/","contentTranslated":true,"sourceHash":"d19d56bb9b695a28","translatedAt":"2026-07-22T23:42:55.876Z"},"es":{"title":"AutoIndex: Marco de aprendizaje de programas de representación de documentos orientado a la recuperación","summary":"AutoIndex optimiza la representación de documentos considerándola como un programa ejecutable, mediante agentes que diagnostican los modelos de fallo de recuperación y sintetizan programas candidatos, iterando para mejorar la calidad del índice bajo un recuperador BM25 fijo. En el benchmark multitarea CRUMB, este método supera la línea base estática de BM25 de texto completo en las 8 tareas, con un aumento promedio de Recall@100 de +8,4% y de nDCG@10 de +8,3%.","category":"Investigación","source":"HuggingFace Daily Papers（社区热门论文）","aggregationSource":"HuggingFace Daily Papers（社区热门论文）","pageTitle":"AutoIndex: Marco de aprendizaje de programas de representación de documentos orientado a la recuperación - Aioga Noticias de IA","description":"AutoIndex optimiza la representación de documentos considerándola como un programa ejecutable, mediante agentes que diagnostican los modelos de fallo de recuperación y sintetizan p...","url":"https://www.aioga.com/es/news/cmrwoddqa00rlrobhymks00dv/","contentTranslated":true,"sourceHash":"d19d56bb9b695a28","translatedAt":"2026-07-22T23:42:55.369Z"},"fr":{"title":"AutoIndex : cadre d'apprentissage de la représentation des documents orienté vers la recherche","summary":"AutoIndex considère la représentation des documents comme des programmes exécutables pour l'optimisation, diagnostique les modes d'échec de récupération à travers des agents et synthétise des programmes candidats, améliorant ainsi de manière itérative la qualité de l'index sous un récupérateur BM25 fixe. Sur le benchmark multitâche CRUMB, cette méthode dépasse la baseline BM25 en texte intégral statique sur les 8 tâches, avec un Recall@100 moyen en hausse de +8,4 % et un nDCG@10 en hausse de +8,3 %.","category":"Recherche","source":"HuggingFace Daily Papers（社区热门论文）","aggregationSource":"HuggingFace Daily Papers（社区热门论文）","pageTitle":"AutoIndex : cadre d'apprentissage de la représentation des documents orienté vers la recherche - Aioga Actualités IA","description":"AutoIndex considère la représentation des documents comme des programmes exécutables pour l'optimisation, diagnostique les modes d'échec de récupération à travers des agents et syn...","url":"https://www.aioga.com/fr/news/cmrwoddqa00rlrobhymks00dv/","contentTranslated":true,"sourceHash":"d19d56bb9b695a28","translatedAt":"2026-07-22T23:43:41.201Z"},"de":{"title":"AutoIndex: Ein programmierbares Lernframework für dokumentenbasierte Repräsentation zur Suche","summary":"AutoIndex betrachtet die Dokumentenrepräsentation als ausführbares Programm zur Optimierung, diagnostiziert über Agenten Fehlermuster bei der Suche und synthetisiert Kandidatenprogramme, um die Indexqualität unter einem festen BM25-Sucher zu iterativ zu verbessern. Auf dem CRUMB-Multi-Task-Benchmark übertrifft diese Methode in allen 8 Aufgaben die statische Volltext-BM25-Baseline, mit einer durchschnittlichen Steigerung von Recall@100 um +8,4 % und nDCG@10 um +8,3 %.","category":"论文研究","source":"HuggingFace Daily Papers（社区热门论文）","aggregationSource":"HuggingFace Daily Papers（社区热门论文）","pageTitle":"AutoIndex: Ein programmierbares Lernframework für dokumentenbasierte Repräsentation zur Suche - Aioga KI-News","description":"AutoIndex betrachtet die Dokumentenrepräsentation als ausführbares Programm zur Optimierung, diagnostiziert über Agenten Fehlermuster bei der Suche und synthetisiert Kandidatenprog...","url":"https://www.aioga.com/de/news/cmrwoddqa00rlrobhymks00dv/","contentTranslated":true,"sourceHash":"d19d56bb9b695a28","translatedAt":"2026-07-22T23:43:35.363Z"},"pt-BR":{"title":"AutoIndex: Estrutura de aprendizado de programa de representação de documentos voltada para recuperação","summary":"O AutoIndex trata a representação de documentos como programas executáveis para otimização, diagnosticando modelos de falha de recuperação por agentes inteligentes e sintetizando programas candidatos, iterativamente melhorando a qualidade do índice com um recuperador BM25 fixo. No benchmark multitarefa CRUMB, esse método superou a linha de base estática BM25 de texto completo em todas as 8 tarefas, com um aumento médio de Recall@100 de +8,4% e nDCG@10 de +8,3%.","category":"论文研究","source":"HuggingFace Daily Papers（社区热门论文）","aggregationSource":"HuggingFace Daily Papers（社区热门论文）","pageTitle":"AutoIndex: Estrutura de aprendizado de programa de representação de documentos voltada para recuperação - Aioga Notícias de IA","description":"O AutoIndex trata a representação de documentos como programas executáveis para otimização, diagnosticando modelos de falha de recuperação por agentes inteligentes e sintetizando p...","url":"https://www.aioga.com/pt-BR/news/cmrwoddqa00rlrobhymks00dv/","contentTranslated":true,"sourceHash":"d19d56bb9b695a28","translatedAt":"2026-07-22T23:44:21.718Z"},"ru":{"title":"AutoIndex: Программная рамка обучения представлению документов для поиска","summary":"AutoIndex рассматривает представление документа как исполняемую программу для оптимизации, диагностирует модели сбоев поиска с помощью агента и синтезирует кандидаты программ, итеративно улучшая качество индекса при фиксированном поисковике BM25. На многозадачном бенчмарке CRUMB этот метод превосходит статический полнотекстовый базовый BM25 по всем 8 задачам, среднее Recall@100 увеличивается на +8,4%, nDCG@10 — на +8,3%.","category":"论文研究","source":"HuggingFace Daily Papers（社区热门论文）","aggregationSource":"HuggingFace Daily Papers（社区热门论文）","pageTitle":"AutoIndex: Программная рамка обучения представлению документов для поиска - Aioga Новости ИИ","description":"AutoIndex рассматривает представление документа как исполняемую программу для оптимизации, диагностирует модели сбоев поиска с помощью агента и синтезирует кандидаты программ, итер...","url":"https://www.aioga.com/ru/news/cmrwoddqa00rlrobhymks00dv/","contentTranslated":true,"sourceHash":"d19d56bb9b695a28","translatedAt":"2026-07-22T23:44:21.803Z"},"ar":{"title":"AutoIndex: إطار تعلم برنامج تمثيل المستندات الموجه للاسترجاع","summary":"تعتبر AutoIndex مستندات العرض كبرامج قابلة للتنفيذ من أجل التحسين، وتقوم الوكيل بتشخيص أنماط فشل الاسترجاع وتركيب برامج مرشحة، وتحسين جودة الفهرس بشكل تكراري تحت مسترجع BM25 ثابت. على معيار CRUMB متعدد المهام، تجاوزت هذه الطريقة خط الأساس BM25 النصي الكامل الثابت في جميع المهام الثمانية، حيث ارتفعت قيمة Recall@100 بمقدار +8.4%، و nDCG@10 بمقدار +8.3% في المتوسط.","category":"论文研究","source":"HuggingFace Daily Papers（社区热门论文）","aggregationSource":"HuggingFace Daily Papers（社区热门论文）","pageTitle":"AutoIndex: إطار تعلم برنامج تمثيل المستندات الموجه للاسترجاع - Aioga أخبار الذكاء الاصطناعي","description":"تعتبر AutoIndex مستندات العرض كبرامج قابلة للتنفيذ من أجل التحسين، وتقوم الوكيل بتشخيص أنماط فشل الاسترجاع وتركيب برامج مرشحة، وتحسين جودة الفهرس بشكل تكراري تحت مسترجع BM25 ثابت....","url":"https://www.aioga.com/ar/news/cmrwoddqa00rlrobhymks00dv/","contentTranslated":true,"sourceHash":"d19d56bb9b695a28","translatedAt":"2026-07-22T23:45:05.520Z"},"hi":{"title":"AutoIndex: खोज-उन्मुख दस्तावेज़ प्रतिनिधित्व प्रोग्रामिंग अध्ययन ढांचा","summary":"AutoIndex दस्तावेज़ प्रतिनिधित्व को निष्पादन योग्य प्रोग्राम के रूप में अनुकूलित करता है, एजेंट की मदद से पुनर्प्राप्ति विफलता पैटर्न का निदान करता है और उम्मीदवार प्रोग्राम का संश्लेषण करता है, और स्थिर BM25 रिट्रीवलर के तहत इंडेक्स गुणवत्ता में पुनरावर्ती सुधार करता है। CRUMB मल्टीटास्क बेंचमार्क पर, यह विधि सभी 8 कार्यों में स्थिर पूर्ण-पाठ BM25 बेसलाइन से आगे निकल जाती है, औसत Recall@100 में +8.4% और nDCG@10 में +8.3% की वृद्धि करती है।","category":"论文研究","source":"HuggingFace Daily Papers（社区热门论文）","aggregationSource":"HuggingFace Daily Papers（社区热门论文）","pageTitle":"AutoIndex: खोज-उन्मुख दस्तावेज़ प्रतिनिधित्व प्रोग्रामिंग अध्ययन ढांचा - Aioga AI समाचार","description":"AutoIndex दस्तावेज़ प्रतिनिधित्व को निष्पादन योग्य प्रोग्राम के रूप में अनुकूलित करता है, एजेंट की मदद से पुनर्प्राप्ति विफलता पैटर्न का निदान करता है और उम्मीदवार प्रोग्राम का संश...","url":"https://www.aioga.com/hi/news/cmrwoddqa00rlrobhymks00dv/","contentTranslated":true,"sourceHash":"d19d56bb9b695a28","translatedAt":"2026-07-22T23:45:03.116Z"},"it":{"title":"AutoIndex: un framework di apprendimento dei programmi di rappresentazione dei documenti orientato al recupero","summary":"AutoIndex tratta la rappresentazione dei documenti come programmi eseguibili per l'ottimizzazione, diagnosticando i modelli di fallimento del recupero tramite agenti intelligenti e componendo programmi candidati, iterando il miglioramento della qualità dell'indice sotto un motore di ricerca BM25 fisso. Sul benchmark multitasking CRUMB, questo metodo supera il baseline statico full-text BM25 in tutti e 8 i compiti, con un incremento medio di Recall@100 del +8,4% e di nDCG@10 del +8,3%.","category":"论文研究","source":"HuggingFace Daily Papers（社区热门论文）","aggregationSource":"HuggingFace Daily Papers（社区热门论文）","pageTitle":"AutoIndex: un framework di apprendimento dei programmi di rappresentazione dei documenti orientato al recupero - Aioga Notizie IA","description":"AutoIndex tratta la rappresentazione dei documenti come programmi eseguibili per l'ottimizzazione, diagnosticando i modelli di fallimento del recupero tramite agenti intelligenti e...","url":"https://www.aioga.com/it/news/cmrwoddqa00rlrobhymks00dv/","contentTranslated":true,"sourceHash":"d19d56bb9b695a28","translatedAt":"2026-07-22T23:45:49.828Z"},"nl":{"title":"AutoIndex: Een programmatisch leerkader voor documentrepresentatie gericht op zoeken","summary":"AutoIndex behandelt documentrepresentaties als uitvoerbare programma's voor optimalisatie, waarbij agenten falende zoekpatronen diagnosticeren en kandidaatprogramma's samenstellen, en onder een vaste BM25-zoekmachine de indexkwaliteit iteratief verbeteren. Op de CRUMB multitaskbenchmark overtreft deze methode de statische full-text BM25-baseline in alle 8 taken, met een gemiddelde Recall@100-stijging van +8,4% en een nDCG@10-stijging van +8,3%.","category":"论文研究","source":"HuggingFace Daily Papers（社区热门论文）","aggregationSource":"HuggingFace Daily Papers（社区热门论文）","pageTitle":"AutoIndex: Een programmatisch leerkader voor documentrepresentatie gericht op zoeken - Aioga AI-nieuws","description":"AutoIndex behandelt documentrepresentaties als uitvoerbare programma's voor optimalisatie, waarbij agenten falende zoekpatronen diagnosticeren en kandidaatprogramma's samenstellen,...","url":"https://www.aioga.com/nl/news/cmrwoddqa00rlrobhymks00dv/","contentTranslated":true,"sourceHash":"d19d56bb9b695a28","translatedAt":"2026-07-22T23:45:46.547Z"},"tr":{"title":"AutoIndex: Arama odaklı belge temsil programlama öğrenme çerçevesi","summary":"AutoIndex, belgeleri yürütülebilir programlar olarak ele alarak optimize eder, akıllı ajanlar aracılığıyla arama başarısızlık modellerini teşhis eder ve aday programlar sentezler, sabit BM25 arayıcısı altında indeks kalitesini yinelemeli olarak iyileştirir. CRUMB çok görevli benchmark üzerinde, bu yöntem tüm 8 görevde statik tam metin BM25 temelini geride bırakmış, ortalama Recall@100 +8.4%, nDCG@10 +8.3% artış sağlamıştır.","category":"论文研究","source":"HuggingFace Daily Papers（社区热门论文）","aggregationSource":"HuggingFace Daily Papers（社区热门论文）","pageTitle":"AutoIndex: Arama odaklı belge temsil programlama öğrenme çerçevesi - Aioga AI Haberleri","description":"AutoIndex, belgeleri yürütülebilir programlar olarak ele alarak optimize eder, akıllı ajanlar aracılığıyla arama başarısızlık modellerini teşhis eder ve aday programlar sentezler,...","url":"https://www.aioga.com/tr/news/cmrwoddqa00rlrobhymks00dv/","contentTranslated":true,"sourceHash":"d19d56bb9b695a28","translatedAt":"2026-07-22T23:46:36.021Z"},"vi":{"title":"AutoIndex: Khung học chương trình biểu diễn tài liệu hướng đến truy xuất","summary":"AutoIndex coi biểu diễn tài liệu như một chương trình có thể thực thi để tối ưu hóa, thông qua việc chẩn đoán lỗi truy xuất bởi tác nhân và tổng hợp các chương trình ứng viên, lặp đi lặp lại cải thiện chất lượng chỉ mục dưới bộ truy xuất BM25 cố định. Trên bộ tiêu chuẩn đa nhiệm CRUMB, phương pháp này vượt trội so với cơ sở BM25 toàn văn tĩnh trên tất cả 8 nhiệm vụ, với Recall@100 trung bình tăng +8,4%, nDCG@10 tăng +8,3%.","category":"论文研究","source":"HuggingFace Daily Papers（社区热门论文）","aggregationSource":"HuggingFace Daily Papers（社区热门论文）","pageTitle":"AutoIndex: Khung học chương trình biểu diễn tài liệu hướng đến truy xuất - Tin tức AI Aioga","description":"AutoIndex coi biểu diễn tài liệu như một chương trình có thể thực thi để tối ưu hóa, thông qua việc chẩn đoán lỗi truy xuất bởi tác nhân và tổng hợp các chương trình ứng viên, lặp...","url":"https://www.aioga.com/vi/news/cmrwoddqa00rlrobhymks00dv/","contentTranslated":true,"sourceHash":"d19d56bb9b695a28","translatedAt":"2026-07-22T23:46:28.522Z"},"id":{"title":"AutoIndex: Kerangka Pembelajaran Program Representasi Dokumen untuk Pencarian","summary":"AutoIndex memandang representasi dokumen sebagai program yang dapat dijalankan untuk dioptimalkan, melalui agen yang mendiagnosis pola kegagalan pencarian dan menyintesis program kandidat, meningkatkan kualitas indeks secara iteratif di bawah pengambil BM25 tetap. Pada tolok ukur multi-tugas CRUMB, metode ini melampaui baseline BM25 teks lengkap statis pada semua 8 tugas, dengan peningkatan rata-rata Recall@100 sebesar +8,4% dan nDCG@10 sebesar +8,3%.","category":"论文研究","source":"HuggingFace Daily Papers（社区热门论文）","aggregationSource":"HuggingFace Daily Papers（社区热门论文）","pageTitle":"AutoIndex: Kerangka Pembelajaran Program Representasi Dokumen untuk Pencarian - Berita AI Aioga","description":"AutoIndex memandang representasi dokumen sebagai program yang dapat dijalankan untuk dioptimalkan, melalui agen yang mendiagnosis pola kegagalan pencarian dan menyintesis program k...","url":"https://www.aioga.com/id/news/cmrwoddqa00rlrobhymks00dv/","contentTranslated":true,"sourceHash":"d19d56bb9b695a28","translatedAt":"2026-07-22T23:47:17.867Z"},"th":{"title":"AutoIndex: กรอบการเรียนรู้ของโปรแกรมการแสดงเอกสารสำหรับการค้นหา","summary":"AutoIndex มองการแสดงเอกสารเป็นโปรแกรมที่สามารถรันได้เพื่อทำการปรับแต่ง ผ่านการวินิจฉัยรูปแบบการค้นหาที่ล้มเหลวโดยตัวแทนอัจฉริยะและสังเคราะห์โปรแกรมตัวอย่าง ในเครื่องมือค้นหา BM25 ที่คงที่ จะมีการปรับปรุงคุณภาพดัชนีอย่างต่อเนื่อง ในมาตรฐานหลายงาน CRUMB วิธีนี้มีประสิทธิภาพเหนือ baseline BM25 แบบ全文คงที่ในทุก 8 งานโดยมีค่า Recall@100 เพิ่มขึ้นเฉลี่ย +8.4% และ nDCG@10 เพิ่มขึ้น +8.3%","category":"论文研究","source":"HuggingFace Daily Papers（社区热门论文）","aggregationSource":"HuggingFace Daily Papers（社区热门论文）","pageTitle":"AutoIndex: กรอบการเรียนรู้ของโปรแกรมการแสดงเอกสารสำหรับการค้นหา - ข่าว AI Aioga","description":"AutoIndex มองการแสดงเอกสารเป็นโปรแกรมที่สามารถรันได้เพื่อทำการปรับแต่ง ผ่านการวินิจฉัยรูปแบบการค้นหาที่ล้มเหลวโดยตัวแทนอัจฉริยะและสังเคราะห์โปรแกรมตัวอย่าง ในเครื่องมือค้นหา BM25 ท...","url":"https://www.aioga.com/th/news/cmrwoddqa00rlrobhymks00dv/","contentTranslated":true,"sourceHash":"d19d56bb9b695a28","translatedAt":"2026-07-22T23:47:30.279Z"},"pl":{"title":"AutoIndex: Programowy framework uczenia się reprezentacji dokumentów ukierunkowany na wyszukiwanie","summary":"AutoIndex traktuje reprezentację dokumentu jako program możliwy do wykonania w celu optymalizacji, diagnozuje wzorce nieudanych wyszukiwań za pomocą agenta i syntetyzuje programy-kandydaty, iteracyjnie poprawiając jakość indeksu przy stałym wyszukiwarce BM25. Na wielozadaniowym benchmarku CRUMB ta metoda przewyższa statyczną pełnotekstową bazę BM25 we wszystkich 8 zadaniach, średnio zwiększając Recall@100 o +8,4% i nDCG@10 o +8,3%.","category":"论文研究","source":"HuggingFace Daily Papers（社区热门论文）","aggregationSource":"HuggingFace Daily Papers（社区热门论文）","pageTitle":"AutoIndex: Programowy framework uczenia się reprezentacji dokumentów ukierunkowany na wyszukiwanie - Aioga Wiadomości AI","description":"AutoIndex traktuje reprezentację dokumentu jako program możliwy do wykonania w celu optymalizacji, diagnozuje wzorce nieudanych wyszukiwań za pomocą agenta i syntetyzuje programy-k...","url":"https://www.aioga.com/pl/news/cmrwoddqa00rlrobhymks00dv/","contentTranslated":true,"sourceHash":"d19d56bb9b695a28","translatedAt":"2026-07-22T23:48:17.579Z"}}}}