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Retrieval

A methodology that involves selecting relevant data or examples from a large dataset to support tasks like prediction, learning, or inference. It enhances models by providing context or additional information, often used in systems like retrieval-augmented generation or in-context learning.

Papers

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Showing 2901–2925 of 14297 papers

TitleStatusHype
CLERC: A Dataset for Legal Case Retrieval and Retrieval-Augmented Analysis GenerationCode1
One Thousand and One Pairs: A "novel" challenge for long-context language modelsCode2
Scaling Laws for Linear Complexity Language ModelsCode1
Large Language Models Are Cross-Lingual Knowledge-Free ReasonersCode0
Context-augmented Retrieval: A Novel Framework for Fast Information Retrieval based Response Generation using Large Language Model—0
On the Role of Long-tail Knowledge in Retrieval Augmented Large Language Models—0
Ragnarök: A Reusable RAG Framework and Baselines for TREC 2024 Retrieval-Augmented Generation TrackCode1
Enhancing Commentary Strategies for Imperfect Information Card Games: A Study of Large Language Models in Guandan CommentaryCode0
Breaking the Frame: Visual Place Recognition by Overlap PredictionCode1
Multi-Scale Temporal Difference Transformer for Video-Text Retrieval—0
Evaluating D-MERIT of Partial-annotation on Information Retrieval—0
Database-Augmented Query Representation for Information Retrieval—0
An All-MLP Sequence Modeling Architecture That Excels at CopyingCode0
Preference Tuning For Toxicity Mitigation Generalizes Across LanguagesCode1
FS-RAG: A Frame Semantics Based Approach for Improved Factual Accuracy in Large Language ModelsCode0
Fusing Audio and Metadata Embeddings Improves Language-based Audio Retrieval—0
Multi-Granularity and Multi-modal Feature Interaction Approach for Text Video Retrieval—0
Pistis-RAG: Enhancing Retrieval-Augmented Generation with Human Feedback—0
A Survey of Retrieval Algorithms in Ad and Content Recommendation Systems—0
CARE: a Benchmark Suite for the Classification and Retrieval of EnzymesCode1
Shortcomings of LLMs for Low-Resource Translation: Retrieval and Understanding are Both the Problem—0
R&B -- Rhythm and Brain: Cross-subject Decoding of Music from Human Brain ActivityCode0
Integrating Knowledge Retrieval and Large Language Models for Clinical Report Correction—0
UDA: A Benchmark Suite for Retrieval Augmented Generation in Real-world Document AnalysisCode1
Évaluation des capacités de réponse de larges modèles de langage (LLM) pour des questions d'historiens—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BM25SQueries per second183.53—Unverified
2ElasticsearchQueries per second21.8—Unverified
3BM25-PTQueries per second6.49—Unverified
4Rank-BM25Queries per second1.18—Unverified
#ModelMetricClaimedVerifiedStatus
1BM25SQueries per second20.88—Unverified
2ElasticsearchQueries per second7.11—Unverified
3Rank-BM25Queries per second0.04—Unverified
#ModelMetricClaimedVerifiedStatus
1BM25SQueries per second41.85—Unverified
2ElasticsearchQueries per second12.16—Unverified
3Rank-BM25Queries per second0.1—Unverified
#ModelMetricClaimedVerifiedStatus
1FLMRRecall@589.32—Unverified
2RA-VQARecall@582.84—Unverified
#ModelMetricClaimedVerifiedStatus
1PreFLMRRecall@562.1—Unverified
#ModelMetricClaimedVerifiedStatus
1CLIP-KIStext-to-video Mean Rank30—Unverified
#ModelMetricClaimedVerifiedStatus
1CLIP4OutfitRecall@57.59—Unverified
#ModelMetricClaimedVerifiedStatus
1MetaGen Blended RAGAccuracy (Top-1)82.1—Unverified
#ModelMetricClaimedVerifiedStatus
1MetaGen Blended RAGAccuracy (Top-1)82.1—Unverified
#ModelMetricClaimedVerifiedStatus
1COLTCOMP@84.55—Unverified
#ModelMetricClaimedVerifiedStatus
1hello0L1,121,222—Unverified