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 751–775 of 14297 papers

TitleStatusHype
ReaRAG: Knowledge-guided Reasoning Enhances Factuality of Large Reasoning Models with Iterative Retrieval Augmented GenerationCode1
Bias-Aware Agent: Enhancing Fairness in AI-Driven Knowledge RetrievalCode0
HyperGraphRAG: Retrieval-Augmented Generation with Hypergraph-Structured Knowledge RepresentationCode3
GenEdit: Compounding Operators and Continuous Improvement to Tackle Text-to-SQL in the Enterprise—0
Alleviating LLM-based Generative Retrieval Hallucination in Alipay Search—0
Semantic Library Adaptation: LoRA Retrieval and Fusion for Open-Vocabulary Semantic SegmentationCode1
LOCORE: Image Re-ranking with Long-Context Sequence ModelingCode1
Tricking Retrievers with Influential Tokens: An Efficient Black-Box Corpus Poisoning Attack—0
A Survey of Multimodal Retrieval-Augmented Generation—0
Reasoning Beyond Limits: Advances and Open Problems for LLMs—0
Named Entity Recognition in Context—0
DEMENTIA-PLAN: An Agent-Based Framework for Multi-Knowledge Graph Retrieval-Augmented Generation in Dementia Care—0
D4R -- Exploring and Querying Relational Graphs Using Natural Language and Large Language Models -- the Case of Historical Documents—0
RALLRec+: Retrieval Augmented Large Language Model Recommendation with ReasoningCode0
Dewey Long Context Embedding Model: A Technical Report—0
MMMORRF: Multimodal Multilingual Modularized Reciprocal Rank Fusion—0
A Retrieval-Based Approach to Medical Procedure Matching in Romanian—0
MCTS-RAG: Enhancing Retrieval-Augmented Generation with Monte Carlo Tree SearchCode2
Context-Efficient Retrieval with Factual Decomposition—0
CausalRAG: Integrating Causal Graphs into Retrieval-Augmented Generation—0
Reverse-Engineering the Retrieval Process in GenIR ModelsCode0
RGL: A Graph-Centric, Modular Framework for Efficient Retrieval-Augmented Generation on GraphsCode2
LRSCLIP: A Vision-Language Foundation Model for Aligning Remote Sensing Image with Longer TextCode1
CAFe: Unifying Representation and Generation with Contrastive-Autoregressive FinetuningCode1
GENIUS: A Generative Framework for Universal Multimodal SearchCode2
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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