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 451–475 of 14297 papers

TitleStatusHype
A Reasoning-Focused Legal Retrieval Benchmark—0
CB-cPIR: Code-Based Computational Private Information Retrieval—0
NBF at SemEval-2025 Task 5: Light-Burst Attention Enhanced System for Multilingual Subject Recommendation—0
Rational Retrieval Acts: Leveraging Pragmatic Reasoning to Improve Sparse RetrievalCode0
RAVU: Retrieval Augmented Video Understanding with Compositional Reasoning over Graph—0
An Analysis of Hyper-Parameter Optimization Methods for Retrieval Augmented Generation—0
RAG-MCP: Mitigating Prompt Bloat in LLM Tool Selection via Retrieval-Augmented Generation—0
Holmes: Automated Fact Check with Large Language Models—0
Seeing the Abstract: Translating the Abstract Language for Vision Language ModelsCode0
Direct Retrieval-augmented Optimization: Synergizing Knowledge Selection and Language ModelsCode3
Tevatron 2.0: Unified Document Retrieval Toolkit across Scale, Language, and ModalityCode4
Predicting Movie Hits Before They Happen with LLMs—0
SymbioticRAG: Enhancing Document Intelligence Through Human-LLM Symbiotic Collaboration—0
SafeMate: A Modular RAG-Based Agent for Context-Aware Emergency Guidance—0
TeDA: Boosting Vision-Lanuage Models for Zero-Shot 3D Object Retrieval via Testing-time Distribution AlignmentCode0
Knowing You Don't Know: Learning When to Continue Search in Multi-round RAG through Self-PracticingCode1
OBD-Finder: Explainable Coarse-to-Fine Text-Centric Oracle Bone Duplicates DiscoveryCode0
Incorporating Legal Structure in Retrieval-Augmented Generation: A Case Study on Copyright Fair UseCode0
Exploring new Approaches for Information Retrieval through Natural Language Processing—0
Compositional Image-Text Matching and Retrieval by Grounding EntitiesCode0
Prompt-responsive Object Retrieval with Memory-augmented Student-Teacher Learning—0
Retrieval-augmented in-context learning for multimodal large language models in disease classification—0
Real-time Spatial Retrieval Augmented Generation for Urban Environments—0
Interpreting Multilingual and Document-Length Sensitive Relevance Computations in Neural Retrieval Models through Axiomatic Causal InterventionsCode0
Embedding based retrieval for long tail search queries in ecommerce—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