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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 1051–1100 of 14297 papers

TitleStatusHype
Evaluating Sakana's AI Scientist for Autonomous Research: Wishful Thinking or an Emerging Reality Towards 'Artificial Research Intelligence' (ARI)?—0
A Survey of Model Architectures in Information Retrieval—0
A Multi-Agent Perspective on Modern Information Retrieval—0
On the Influence of Context Size and Model Choice in Retrieval-Augmented Generation SystemsCode0
Benchmarking Multimodal RAG through a Chart-based Document Question-Answering Generation FrameworkCode0
Retrieval-Augmented Process Reward Model for Generalizable Mathematical Reasoning—0
From RAG to Memory: Non-Parametric Continual Learning for Large Language ModelsCode7
FIND: Fine-grained Information Density Guided Adaptive Retrieval-Augmented Generation for Disease Diagnosis—0
WavRAG: Audio-Integrated Retrieval Augmented Generation for Spoken Dialogue Models—0
Mitigating Lost-in-Retrieval Problems in Retrieval Augmented Multi-Hop Question Answering—0
ATRI: Mitigating Multilingual Audio Text Retrieval Inconsistencies by Reducing Data Distribution ErrorsCode0
Towards Adaptive Memory-Based Optimization for Enhanced Retrieval-Augmented Generation—0
A Comprehensive Survey on Composed Image RetrievalCode3
Collaborative Retrieval for Large Language Model-based Conversational Recommender SystemsCode1
Retrieving Versus Understanding Extractive Evidence in Few-Shot Learning—0
MuDAF: Long-Context Multi-Document Attention Focusing through Contrastive Learning on Attention HeadsCode0
Reducing Hallucinations in Language Model-based SPARQL Query Generation Using Post-Generation Memory Retrieval—0
DH-RAG: A Dynamic Historical Context-Powered Retrieval-Augmented Generation Method for Multi-Turn Dialogue—0
Quantifying Memorization and Retriever Performance in Retrieval-Augmented Vision-Language Models—0
PeerQA: A Scientific Question Answering Dataset from Peer ReviewsCode1
REFIND: Retrieval-Augmented Factuality Hallucination Detection in Large Language Models—0
TrustRAG: An Information Assistant with Retrieval Augmented GenerationCode5
RGAR: Recurrence Generation-augmented Retrieval for Factual-aware Medical Question Answering—0
Activation-aware Probe-Query: Effective Key-Value Retrieval for Long-Context LLMs Inference—0
Reproducing NevIR: Negation in Neural Information RetrievalCode0
MMTEB: Massive Multilingual Text Embedding Benchmark—0
LLM4Tag: Automatic Tagging System for Information Retrieval via Large Language Models—0
RAG-Gym: Optimizing Reasoning and Search Agents with Process Supervision—0
Testing Prompt Engineering Methods for Knowledge Extraction from TextCode0
Retrieval-augmented systems can be dangerous medical communicators—0
HopRAG: Multi-Hop Reasoning for Logic-Aware Retrieval-Augmented Generation—0
RealSyn: An Effective and Scalable Multimodal Interleaved Document Transformation ParadigmCode1
Dr Web: a modern, query-based web data retrieval engineCode0
PathRAG: Pruning Graph-based Retrieval Augmented Generation with Relational PathsCode3
Towards an automated workflow in materials science for combining multi-modal simulative and experimental information using data mining and large language models—0
Improving Clinical Question Answering with Multi-Task Learning: A Joint Approach for Answer Extraction and Medical Categorization—0
MomentSeeker: A Task-Oriented Benchmark For Long-Video Moment Retrieval—0
Learning More Effective Representations for Dense Retrieval through Deliberate Thinking Before SearchCode1
Re-Align: Aligning Vision Language Models via Retrieval-Augmented Direct Preference OptimizationCode2
Towards Text-Image Interleaved RetrievalCode1
Infinite Retrieval: Attention Enhanced LLMs in Long-Context Processing—0
Robust Adaptation of Large Multimodal Models for Retrieval Augmented Hateful Meme DetectionCode1
Oreo: A Plug-in Context Reconstructor to Enhance Retrieval-Augmented Generation—0
A^2ATS: Retrieval-Based KV Cache Reduction via Windowed Rotary Position Embedding and Query-Aware Vector Quantization—0
G-Refer: Graph Retrieval-Augmented Large Language Model for Explainable RecommendationCode1
Beyond Seen Data: Improving KBQA Generalization Through Schema-Guided Logical Form GenerationCode0
Range Retrieval with Graph-Based Indices—0
RAPID: Retrieval Augmented Training of Differentially Private Diffusion ModelsCode0
K-Paths: Reasoning over Graph Paths for Drug Repurposing and Drug Interaction PredictionCode1
REAL-MM-RAG: A Real-World Multi-Modal Retrieval Benchmark—0
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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