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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 2501–2525 of 14297 papers

TitleStatusHype
LegalBench-RAG: A Benchmark for Retrieval-Augmented Generation in the Legal DomainCode2
Carbon Footprint Accounting Driven by Large Language Models and Retrieval-augmented Generation—0
AutoML-guided Fusion of Entity and LLM-based Representations for Document ClassificationCode0
Agentic Retrieval-Augmented Generation for Time Series Analysis—0
PhysBERT: A Text Embedding Model for Physics Scientific Literature—0
NAVERO: Unlocking Fine-Grained Semantics for Video-Language Compositionality—0
Hindi-BEIR : A Large Scale Retrieval Benchmark in Hindi—0
An Open-Source American Sign Language Fingerspell Recognition and Semantic Pose Retrieval InterfaceCode2
TC-RAG:Turing-Complete RAG's Case study on Medical LLM SystemsCode2
Enhancing Audio-Language Models through Self-Supervised Post-Training with Text-Audio PairsCode0
A Study of PHOC Spatial Region Configurations for Math Formula Retrieval—0
Towards Effective Top-N Hamming Search via Bipartite Graph Contrastive Hashing—0
VERA: Validation and Evaluation of Retrieval-Augmented Systems—0
Chain-of-Exemplar: Enhancing Distractor Generation for Multimodal Educational Question GenerationCode0
ECG-Chat: A Large ECG-Language Model for Cardiac Disease DiagnosisCode2
Meta Knowledge for Retrieval Augmented Large Language Models—0
CommunityKG-RAG: Leveraging Community Structures in Knowledge Graphs for Advanced Retrieval-Augmented Generation in Fact-CheckingCode0
GeoTransformer: Enhancing Urban Forecasting with Dependency Retrieval and Geospatial Attention—0
Retrieval-augmented Few-shot Medical Image Segmentation with Foundation Models—0
MuRAR: A Simple and Effective Multimodal Retrieval and Answer Refinement Framework for Multimodal Question Answering—0
Turning Trash into Treasure: Accelerating Inference of Large Language Models with Token RecyclingCode3
SC-Rec: Enhancing Generative Retrieval with Self-Consistent Reranking for Sequential Recommendation—0
Web Retrieval Agents for Evidence-Based Misinformation DetectionCode0
Cross-Modal Denoising: A Novel Training Paradigm for Enhancing Speech-Image Retrieval—0
Coarse-to-fine Alignment Makes Better Speech-image Retrieval—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