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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 3051–3100 of 14297 papers

TitleStatusHype
Unveiling Knowledge Utilization Mechanisms in LLM-based Retrieval-Augmented Generation—0
Let's have a chat with the EU AI Act—0
EcoSafeRAG: Efficient Security through Context Analysis in Retrieval-Augmented Generation—0
CRISP: Clustering Multi-Vector Representations for Denoising and Pruning—0
Semantic Caching of Contextual Summaries for Efficient Question-Answering with Language Models—0
SubGCache: Accelerating Graph-based RAG with Subgraph-level KV Cache—0
Towards Cross-modal Retrieval in Chinese Cultural Heritage Documents: Dataset and Solution—0
Improve Rule Retrieval and Reasoning with Self-Induction and Relevance ReEstimate—0
THELMA: Task Based Holistic Evaluation of Large Language Model Applications-RAG Question Answering—0
Enhancing Low-Resource Minority Language Translation with LLMs and Retrieval-Augmented Generation for Cultural Nuances—0
MIRACL-VISION: A Large, multilingual, visual document retrieval benchmark—0
Boosting Text-to-Chart Retrieval through Training with Synthesized Semantic Insights—0
Personalizing Large Language Models using Retrieval Augmented Generation and Knowledge GraphCode0
SemEval-2025 Task 7: Multilingual and Crosslingual Fact-Checked Claim Retrieval—0
XRAG: Cross-lingual Retrieval-Augmented Generation—0
Enhancing Multi-Image Question Answering via Submodular Subset Selection—0
CL-RAG: Bridging the Gap in Retrieval-Augmented Generation with Curriculum Learning—0
One Shot Dominance: Knowledge Poisoning Attack on Retrieval-Augmented Generation Systems—0
GE-Chat: A Graph Enhanced RAG Framework for Evidential Response Generation of LLMs—0
DO-RAG: A Domain-Specific QA Framework Using Knowledge Graph-Enhanced Retrieval-Augmented GenerationCode0
CAFE: Retrieval Head-based Coarse-to-Fine Information Seeking to Enhance Multi-Document QA Capability—0
RT-cache: Efficient Robot Trajectory Retrieval System—0
A Multimodal Multi-Agent Framework for Radiology Report Generation—0
TARGET: Benchmarking Table Retrieval for Generative Tasks—0
Scent of Knowledge: Optimizing Search-Enhanced Reasoning with Information ForagingCode0
Enhancing Cache-Augmented Generation (CAG) with Adaptive Contextual Compression for Scalable Knowledge Integration—0
WixQA: A Multi-Dataset Benchmark for Enterprise Retrieval-Augmented Generation—0
Scaling Context, Not Parameters: Training a Compact 7B Language Model for Efficient Long-Context Processing—0
Adaptive Schema-aware Event Extraction with Retrieval-Augmented Generation—0
Enhancing Thyroid Cytology Diagnosis with RAG-Optimized LLMs and Pa-thology Foundation Models—0
ALOHA: Empowering Multilingual Agent for University Orientation with Hierarchical Retrieval—0
IterKey: Iterative Keyword Generation with LLMs for Enhanced Retrieval Augmented Generation—0
Optimizing Retrieval-Augmented Generation: Analysis of Hyperparameter Impact on Performance and Efficiency—0
Lost in Transliteration: Bridging the Script Gap in Neural IR—0
Hakim: Farsi Text Embedding Model—0
Ultra Lowrate Image Compression with Semantic Residual Coding and Compression-aware Diffusion—0
GRADA: Graph-based Reranker against Adversarial Documents AttackCode0
Pre-training vs. Fine-tuning: A Reproducibility Study on Dense Retrieval Knowledge AcquisitionCode0
Incomplete In-context Learning—0
SEM: Reinforcement Learning for Search-Efficient Large Language Models—0
Benchmarking Retrieval-Augmented Generation for Chemistry—0
Exact Spin Elimination in Ising Hamiltonians and Energy-Based Machine Learning—0
A Unified Hierarchical Framework for Fine-grained Cross-view Geo-localization over Large-scale Scenarios—0
QUPID: Quantified Understanding for Enhanced Performance, Insights, and Decisions in Korean Search Engines—0
Towards Requirements Engineering for RAG Systems—0
Reproducibility, Replicability, and Insights into Visual Document Retrieval with Late InteractionCode0
KAQG: A Knowledge-Graph-Enhanced RAG for Difficulty-Controlled Question Generation—0
MedEIR: A Specialized Medical Embedding Model for Enhanced Information Retrieval—0
TrumorGPT: Graph-Based Retrieval-Augmented Large Language Model for Fact-Checking—0
Code Retrieval for MILP Instance Generation—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