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

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Showing 726–750 of 14297 papers

TitleStatusHype
GOTPR: General Outdoor Text-based Place Recognition Using Scene Graph Retrieval with OpenStreetMapCode1
Knowledge Graph-based Retrieval-Augmented Generation for Schema MatchingCode1
3DCoMPaT200: Language-Grounded Compositional Understanding of Parts and Materials of 3D ShapesCode1
Retrieval-Augmented Dialogue Knowledge Aggregation for Expressive Conversational Speech SynthesisCode1
SWE-Fixer: Training Open-Source LLMs for Effective and Efficient GitHub Issue ResolutionCode1
A Flexible and Scalable Framework for Video Moment SearchCode1
Key-value memory in the brainCode1
Watch Video, Catch Keyword: Context-aware Keyword Attention for Moment Retrieval and Highlight DetectionCode1
Personalized Graph-Based Retrieval for Large Language ModelsCode1
MADGEN: Mass-Spec attends to De Novo Molecular generationCode1
Robust Self-Paced Hashing for Cross-Modal Retrieval with Noisy LabelsCode1
Docopilot: Improving Multimodal Models for Document-Level UnderstandingCode1
Fuzzy Multimodal Learning for Trusted Cross-modal RetrievalCode1
KAE: Kolmogorov-Arnold Auto-Encoder for Representation LearningCode1
GASLITEing the Retrieval: Exploring Vulnerabilities in Dense Embedding-based SearchCode1
Length-Aware DETR for Robust Moment RetrievalCode1
Long Context vs. RAG for LLMs: An Evaluation and RevisitsCode1
RAG with Differential PrivacyCode1
Jasper and Stella: distillation of SOTA embedding modelsCode1
RaSeRec: Retrieval-Augmented Sequential RecommendationCode1
CypherBench: Towards Precise Retrieval over Full-scale Modern Knowledge Graphs in the LLM EraCode1
Efficient fine-tuning methodology of text embedding models for information retrieval: contrastive learning penalty (clp)Code1
ASPIRE: Assistive System for Performance Evaluation in IRCode1
STRAP: Robot Sub-Trajectory Retrieval for Augmented Policy LearningCode1
PA-RAG: RAG Alignment via Multi-Perspective Preference OptimizationCode1
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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