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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 4001–4025 of 14297 papers

TitleStatusHype
Retrieval Augmented End-to-End Spoken Dialog Models—0
CoLe and LYS at BioASQ MESINESP8 Task: similarity based descriptor assignment in Spanish—0
CorpusLM: Towards a Unified Language Model on Corpus for Knowledge-Intensive Tasks—0
RimiRec: Modeling Refined Multi-interest in Hierarchical Structure for Recommendation—0
The Queen of England is not England's Queen: On the Lack of Factual Coherency in PLMsCode0
Continual Learning for Large Language Models: A Survey—0
PICS: Pipeline for Image Captioning and Search—0
HiQA: A Hierarchical Contextual Augmentation RAG for Multi-Documents QA—0
An Exam-based Evaluation Approach Beyond Traditional Relevance Judgments—0
Don't Hallucinate, Abstain: Identifying LLM Knowledge Gaps via Multi-LLM CollaborationCode1
Health-LLM: Personalized Retrieval-Augmented Disease Prediction System—0
RAG-Fusion: a New Take on Retrieval-Augmented Generation—0
RAPTOR: Recursive Abstractive Processing for Tree-Organized RetrievalCode5
M2-RAAP: A Multi-Modal Recipe for Advancing Adaptation-based Pre-training towards Effective and Efficient Zero-shot Video-text RetrievalCode2
Fréchet Distance for Offline Evaluation of Information Retrieval Systems with Sparse Labels—0
GUMsley: Evaluating Entity Salience in Summarization for 12 English Genres—0
When Large Language Models Meet Vector Databases: A SurveyCode3
CRUD-RAG: A Comprehensive Chinese Benchmark for Retrieval-Augmented Generation of Large Language ModelsCode3
Re3val: Reinforced and Reranked Generative Retrieval—0
History-Aware Conversational Dense RetrievalCode1
Retrieval Augmented Deep Anomaly Detection for Tabular DataCode0
LLaMP: Large Language Model Made Powerful for High-fidelity Materials Knowledge Retrieval and DistillationCode2
NNOSE: Nearest Neighbor Occupational Skill ExtractionCode0
NFT1000: A Cross-Modal Dataset for Non-Fungible Token RetrievalCode1
Development and Testing of Retrieval Augmented Generation in Large Language Models -- A Case Study Report—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