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 51–75 of 14297 papers

TitleStatusHype
BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive RetrievalCode5
Chatlaw: A Multi-Agent Collaborative Legal Assistant with Knowledge Graph Enhanced Mixture-of-Experts Large Language ModelCode5
Don't Do RAG: When Cache-Augmented Generation is All You Need for Knowledge TasksCode5
Agentic Retrieval-Augmented Generation: A Survey on Agentic RAGCode5
BM25S: Orders of magnitude faster lexical search via eager sparse scoringCode5
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and GenerationCode5
rerankers: A Lightweight Python Library to Unify Ranking MethodsCode5
Beyond Outlining: Heterogeneous Recursive Planning for Adaptive Long-form Writing with Language ModelsCode4
Gated Delta Networks: Improving Mamba2 with Delta RuleCode4
PLAID: An Efficient Engine for Late Interaction RetrievalCode4
Prompt2Model: Generating Deployable Models from Natural Language InstructionsCode4
From Web Search towards Agentic Deep Research: Incentivizing Search with Reasoning AgentsCode4
Benchmarking Retrieval-Augmented Generation for MedicineCode4
Generative Representational Instruction TuningCode4
Panda-70M: Captioning 70M Videos with Multiple Cross-Modality TeachersCode4
Parameter-Efficient Prompt Tuning Makes Generalized and Calibrated Neural Text RetrieversCode4
Symbolic Prompt Program Search: A Structure-Aware Approach to Efficient Compile-Time Prompt OptimizationCode4
FG-CLIP: Fine-Grained Visual and Textual AlignmentCode4
One Embedder, Any Task: Instruction-Finetuned Text EmbeddingsCode4
Improving Retrieval-Augmented Generation in Medicine with Iterative Follow-up QuestionsCode4
Multimodal Whole Slide Foundation Model for PathologyCode4
OnPrem.LLM: A Privacy-Conscious Document Intelligence ToolkitCode4
DuoAttention: Efficient Long-Context LLM Inference with Retrieval and Streaming HeadsCode4
EasyRAG: Efficient Retrieval-Augmented Generation Framework for Automated Network OperationsCode4
Evaluating Pre-trained Convolutional Neural Networks and Foundation Models as Feature Extractors for Content-based Medical Image RetrievalCode4
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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