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 7476–7500 of 14297 papers

TitleStatusHype
How Robust are Fact Checking Systems on Colloquial Claims?—0
Coupled intrinsic and extrinsic human language resource-based query expansion—0
Learning Semantic Similarity for Very Short Texts—0
Learning Semantics with Deep Belief Network for Cross-Language Information Retrieval—0
How Relevance Emerges: Interpreting LoRA Fine-Tuning in Reranking LLMs—0
How (not) to ensemble LVLMs for VQA—0
Visual Similarity Attention—0
Coupled CycleGAN: Unsupervised Hashing Network for Cross-Modal Retrieval—0
Learning Similarity Preserving Binary Codes for Recommender Systems—0
How Molecules Impact Cells: Unlocking Contrastive PhenoMolecular Retrieval—0
Learning Soft-Attention Models for Tempo-invariant Audio-Sheet Music Retrieval—0
Country-wide Retrieval of Forest Structure From Optical and SAR Satellite Imagery With Deep Ensembles—0
ATZSL: Defensive Zero-Shot Recognition in the Presence of Adversaries—0
A ML-LLM pairing for better code comment classification—0
Counting Grid Aggregation for Event Retrieval and Recognition—0
A Two-Stage Shape Retrieval (TSR) Method with Global and Local Features—0
Learning Spectral Transform Network on 3D Surface for Non-rigid Shape Analysis—0
How do QA models combine knowledge from LM and 100 passages?—0
Learning Structural Representations for Recipe Generation and Food Retrieval—0
How Do Large Vision-Language Models See Text in Image? Unveiling the Distinctive Role of OCR Heads—0
Counterfactual Learning To Rank for Utility-Maximizing Query Autocompletion—0
A Two-stage Framework for Compound Figure Separation—0
A Minimax Game for Instance based Selective Transfer Learning—0
A Case Study of NLG from Multimedia Data Sources: Generating Architectural Landmark Descriptions—0
SAGE: A Framework of Precise Retrieval for RAG—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