SOTAVerified

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

Showing 226250 of 14297 papers

TitleStatusHype
MCTS-RAG: Enhancing Retrieval-Augmented Generation with Monte Carlo Tree SearchCode2
GENIUS: A Generative Framework for Universal Multimodal SearchCode2
RGL: A Graph-Centric, Modular Framework for Efficient Retrieval-Augmented Generation on GraphsCode2
LinkAlign: Scalable Schema Linking for Real-World Large-Scale Multi-Database Text-to-SQLCode2
VenusFactory: A Unified Platform for Protein Engineering Data Retrieval and Language Model Fine-TuningCode2
All You Need to Know About Training Image Retrieval ModelsCode2
Datrics Text2SQL. A Framework for Natural Language to SQL Query GenerationCode2
Exploring the best way for UAV visual localization under Low-altitude Multi-view Observation Condition: a BenchmarkCode2
DiffCLIP: Differential Attention Meets CLIPCode2
A Survey of Large Language Model Empowered Agents for Recommendation and Search: Towards Next-Generation Information RetrievalCode2
Beyond Matryoshka: Revisiting Sparse Coding for Adaptive RepresentationCode2
Retrieval-Augmented Perception: High-Resolution Image Perception Meets Visual RAGCode2
Composed Multi-modal Retrieval: A Survey of Approaches and ApplicationsCode2
Qilin: A Multimodal Information Retrieval Dataset with APP-level User SessionsCode2
Streaming Video Question-Answering with In-context Video KV-Cache RetrievalCode2
Rank1: Test-Time Compute for Reranking in Information RetrievalCode2
LevelRAG: Enhancing Retrieval-Augmented Generation with Multi-hop Logic Planning over Rewriting Augmented SearchersCode2
RankCoT: Refining Knowledge for Retrieval-Augmented Generation through Ranking Chain-of-ThoughtsCode2
MegaLoc: One Retrieval to Place Them AllCode2
Benchmarking Retrieval-Augmented Generation in Multi-Modal ContextsCode2
Re-Align: Aligning Vision Language Models via Retrieval-Augmented Direct Preference OptimizationCode2
RAS: Retrieval-And-Structuring for Knowledge-Intensive LLM GenerationCode2
NavRAG: Generating User Demand Instructions for Embodied Navigation through Retrieval-Augmented LLMCode2
KET-RAG: A Cost-Efficient Multi-Granular Indexing Framework for Graph-RAGCode2
Towards Trustworthy Retrieval Augmented Generation for Large Language Models: A SurveyCode2
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BM25SQueries per second183.53Unverified
2ElasticsearchQueries per second21.8Unverified
3BM25-PTQueries per second6.49Unverified
4Rank-BM25Queries per second1.18Unverified
#ModelMetricClaimedVerifiedStatus
1BM25SQueries per second20.88Unverified
2ElasticsearchQueries per second7.11Unverified
3Rank-BM25Queries per second0.04Unverified
#ModelMetricClaimedVerifiedStatus
1BM25SQueries per second41.85Unverified
2ElasticsearchQueries per second12.16Unverified
3Rank-BM25Queries per second0.1Unverified
#ModelMetricClaimedVerifiedStatus
1FLMRRecall@589.32Unverified
2RA-VQARecall@582.84Unverified
#ModelMetricClaimedVerifiedStatus
1PreFLMRRecall@562.1Unverified
#ModelMetricClaimedVerifiedStatus
1CLIP-KIStext-to-video Mean Rank30Unverified
#ModelMetricClaimedVerifiedStatus
1CLIP4OutfitRecall@57.59Unverified
#ModelMetricClaimedVerifiedStatus
1MetaGen Blended RAGAccuracy (Top-1)82.1Unverified
#ModelMetricClaimedVerifiedStatus
1MetaGen Blended RAGAccuracy (Top-1)82.1Unverified
#ModelMetricClaimedVerifiedStatus
1COLTCOMP@84.55Unverified
#ModelMetricClaimedVerifiedStatus
1hello0L1,121,222Unverified