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 601–650 of 14297 papers

TitleStatusHype
Refining music sample identification with a self-supervised graph neural networkCode1
SimpleDoc: Multi-Modal Document Understanding with Dual-Cue Page Retrieval and Iterative RefinementCode1
Constructing and Evaluating Declarative RAG Pipelines in PyTerrierCode1
Query-Focused Retrieval Heads Improve Long-Context Reasoning and Re-rankingCode1
FaithfulRAG: Fact-Level Conflict Modeling for Context-Faithful Retrieval-Augmented GenerationCode1
Efficient Medical Vision-Language Alignment Through Adapting Masked Vision ModelsCode1
DiscoVLA: Discrepancy Reduction in Vision, Language, and Alignment for Parameter-Efficient Video-Text RetrievalCode1
On Finetuning Tabular Foundation ModelsCode1
SlideCoder: Layout-aware RAG-enhanced Hierarchical Slide Generation from DesignCode1
DAM: Dynamic Attention Mask for Long-Context Large Language Model Inference AccelerationCode1
Joint-GCG: Unified Gradient-Based Poisoning Attacks on Retrieval-Augmented Generation SystemsCode1
PAKTON: A Multi-Agent Framework for Question Answering in Long Legal AgreementsCode1
Context is Gold to find the Gold Passage: Evaluating and Training Contextual Document EmbeddingsCode1
ConText-CIR: Learning from Concepts in Text for Composed Image RetrievalCode1
REAL-Prover: Retrieval Augmented Lean Prover for Mathematical ReasoningCode1
Rethinking Text-based Protein Understanding: Retrieval or LLM?Code1
Towards Multi-Granularity Memory Association and Selection for Long-Term Conversational AgentsCode1
R3-RAG: Learning Step-by-Step Reasoning and Retrieval for LLMs via Reinforcement LearningCode1
NeuSym-RAG: Hybrid Neural Symbolic Retrieval with Multiview Structuring for PDF Question AnsweringCode1
Modality Curation: Building Universal Embeddings for Advanced Multimodal Information RetrievalCode1
Visualized Text-to-Image RetrievalCode1
KnowTrace: Bootstrapping Iterative Retrieval-Augmented Generation with Structured Knowledge TracingCode1
REARANK: Reasoning Re-ranking Agent via Reinforcement LearningCode1
Optimized Text Embedding Models and Benchmarks for Amharic Passage RetrievalCode1
POQD: Performance-Oriented Query Decomposer for Multi-vector retrievalCode1
Removal of Hallucination on Hallucination: Debate-Augmented RAGCode1
GainRAG: Preference Alignment in Retrieval-Augmented Generation through Gain Signal SynthesisCode1
AcuRank: Uncertainty-Aware Adaptive Computation for Listwise RerankingCode1
RaDeR: Reasoning-aware Dense Retrieval ModelsCode1
MetaGen Blended RAG: Higher Accuracy for Domain-Specific Q&A Without Fine-TuningCode1
Benchmarking Retrieval-Augmented Multimomal Generation for Document Question AnsweringCode1
The Atlas of In-Context Learning: How Attention Heads Shape In-Context Retrieval AugmentationCode1
DisastIR: A Comprehensive Information Retrieval Benchmark for Disaster ManagementCode1
R2MED: A Benchmark for Reasoning-Driven Medical RetrievalCode1
Process vs. Outcome Reward: Which is Better for Agentic RAG Reinforcement LearningCode1
LoVR: A Benchmark for Long Video Retrieval in Multimodal ContextsCode1
GuRE:Generative Query REwriter for Legal Passage RetrievalCode1
LightRetriever: A LLM-based Hybrid Retrieval Architecture with 1000x Faster Query InferenceCode1
Neuro-Symbolic Query CompilerCode1
ELITE: Embedding-Less retrieval with Iterative Text ExplorationCode1
The Future is Sparse: Embedding Compression for Scalable Retrieval in Recommender SystemsCode1
mmRAG: A Modular Benchmark for Retrieval-Augmented Generation over Text, Tables, and Knowledge GraphsCode1
Finetune-RAG: Fine-Tuning Language Models to Resist Hallucination in Retrieval-Augmented GenerationCode1
Hierarchical Document Refinement for Long-context Retrieval-augmented GenerationCode1
ReCDAP: Relation-Based Conditional Diffusion with Attention Pooling for Few-Shot Knowledge Graph CompletionCode1
Efficient and Reproducible Biomedical Question Answering using Retrieval Augmented GenerationCode1
MacRAG: Compress, Slice, and Scale-up for Multi-Scale Adaptive Context RAGCode1
Retrieval Augmented Time Series ForecastingCode1
Knowing You Don't Know: Learning When to Continue Search in Multi-round RAG through Self-PracticingCode1
TreeHop: Generate and Filter Next Query Embeddings Efficiently for Multi-hop Question AnsweringCode1
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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