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 101–125 of 14297 papers

TitleStatusHype
FG-CLIP: Fine-Grained Visual and Textual AlignmentCode4
R1-Searcher++: Incentivizing the Dynamic Knowledge Acquisition of LLMs via Reinforcement LearningCode4
Evaluating Pre-trained Convolutional Neural Networks and Foundation Models as Feature Extractors for Content-based Medical Image RetrievalCode4
A Survey of LLM DATACode4
DuoAttention: Efficient Long-Context LLM Inference with Retrieval and Streaming HeadsCode4
PLAID: An Efficient Engine for Late Interaction RetrievalCode4
EasyRAG: Efficient Retrieval-Augmented Generation Framework for Automated Network OperationsCode4
Prompt2Model: Generating Deployable Models from Natural Language InstructionsCode4
LLM2CLIP: Powerful Language Model Unlocks Richer Visual RepresentationCode4
DeepRetrieval: Hacking Real Search Engines and Retrievers with Large Language Models via Reinforcement LearningCode4
AnnoLLM: Making Large Language Models to Be Better Crowdsourced AnnotatorsCode4
Parameter-Efficient Prompt Tuning Makes Generalized and Calibrated Neural Text RetrieversCode4
DeepResearch Bench: A Comprehensive Benchmark for Deep Research AgentsCode4
Symbolic Prompt Program Search: A Structure-Aware Approach to Efficient Compile-Time Prompt OptimizationCode4
Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented GenerationCode4
Corrective Retrieval Augmented GenerationCode3
ONE-PEACE: Exploring One General Representation Model Toward Unlimited ModalitiesCode3
MultiHop-RAG: Benchmarking Retrieval-Augmented Generation for Multi-Hop QueriesCode3
Multi-Head RAG: Solving Multi-Aspect Problems with LLMsCode3
RAGEval: Scenario Specific RAG Evaluation Dataset Generation FrameworkCode3
MS MARCO Web Search: a Large-scale Information-rich Web Dataset with Millions of Real Click LabelsCode3
OpenResearcher: Unleashing AI for Accelerated Scientific ResearchCode3
MMed-RAG: Versatile Multimodal RAG System for Medical Vision Language ModelsCode3
MegaPairs: Massive Data Synthesis For Universal Multimodal RetrievalCode3
MoC: Mixtures of Text Chunking Learners for Retrieval-Augmented Generation SystemCode3
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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