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 326–350 of 14297 papers

TitleStatusHype
RA-Touch: Retrieval-Augmented Touch Understanding with Enriched Visual Data—0
s3: You Don't Need That Much Data to Train a Search Agent via RLCode4
Process vs. Outcome Reward: Which is Better for Agentic RAG Reinforcement LearningCode1
Rank-K: Test-Time Reasoning for Listwise RerankingCode0
Benchmarking the Myopic Trap: Positional Bias in Information RetrievalCode5
R2MED: A Benchmark for Reasoning-Driven Medical RetrievalCode1
VulCPE: Context-Aware Cybersecurity Vulnerability Retrieval and Management—0
Data-Efficient Hate Speech Detection via Cross-Lingual Nearest Neighbor Retrieval with Limited Labeled Data—0
Beyond Text: Unveiling Privacy Vulnerabilities in Multi-modal Retrieval-Augmented Generation—0
NExT-Search: Rebuilding User Feedback Ecosystem for Generative AI Search—0
Divide by Question, Conquer by Agent: SPLIT-RAG with Question-Driven Graph Partitioning—0
JIR-Arena: The First Benchmark Dataset for Just-in-time Information RecommendationCode0
LLM-Based Compact Reranking with Document Features for Scientific Retrieval—0
Cross-Lingual Representation Alignment Through Contrastive Image-Caption TuningCode0
Towards A Generalist Code Embedding Model Based On Massive Data Synthesis—0
GuRE:Generative Query REwriter for Legal Passage RetrievalCode1
LLM-based Query Expansion Fails for Unfamiliar and Ambiguous QueriesCode0
RAR: Setting Knowledge Tripwires for Retrieval Augmented Rejection—0
Duluth at SemEval-2025 Task 7: TF-IDF with Optimized Vector Dimensions for Multilingual Fact-Checked Claim RetrievalCode0
Optimizing Retrieval Augmented Generation for Object Constraint Language—0
Sense and Sensitivity: Examining the Influence of Semantic Recall on Long Context Code Reasoning—0
CPRet: A Dataset, Benchmark, and Model for Retrieval in Competitive ProgrammingCode2
Accelerating Adaptive Retrieval Augmented Generation via Instruction-Driven Representation Reduction of Retrieval Overlaps—0
GMM-Based Comprehensive Feature Extraction and Relative Distance Preservation For Few-Shot Cross-Modal Retrieval—0
Know3-RAG: A Knowledge-aware RAG Framework with Adaptive Retrieval, Generation, and FilteringCode0
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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