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Retrieval-augmented Generation

Papers

Showing 226250 of 2196 papers

TitleStatusHype
Improving Medical Reasoning through Retrieval and Self-Reflection with Retrieval-Augmented Large Language ModelsCode2
The Power of Noise: Redefining Retrieval for RAG SystemsCode2
RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language ModelsCode2
Biomedical knowledge graph-optimized prompt generation for large language modelsCode2
ARES: An Automated Evaluation Framework for Retrieval-Augmented Generation SystemsCode2
Learning to Filter Context for Retrieval-Augmented GenerationCode2
DISC-FinLLM: A Chinese Financial Large Language Model based on Multiple Experts Fine-tuningCode2
Benchmarking Large Language Models in Retrieval-Augmented GenerationCode2
Active Retrieval Augmented GenerationCode2
Huatuo-26M, a Large-scale Chinese Medical QA DatasetCode2
Graph World ModelCode1
RMIT-ADM+S at the SIGIR 2025 LiveRAG ChallengeCode1
SimpleDoc: Multi-Modal Document Understanding with Dual-Cue Page Retrieval and Iterative RefinementCode1
Constructing and Evaluating Declarative RAG Pipelines in PyTerrierCode1
DRAGged into Conflicts: Detecting and Addressing Conflicting Sources in Search-Augmented LLMsCode1
FaithfulRAG: Fact-Level Conflict Modeling for Context-Faithful Retrieval-Augmented GenerationCode1
SlideCoder: Layout-aware RAG-enhanced Hierarchical Slide Generation from DesignCode1
Joint-GCG: Unified Gradient-Based Poisoning Attacks on Retrieval-Augmented Generation SystemsCode1
ECoRAG: Evidentiality-guided Compression for Long Context RAGCode1
Graph Counselor: Adaptive Graph Exploration via Multi-Agent Synergy to Enhance LLM ReasoningCode1
ThinkTank: A Framework for Generalizing Domain-Specific AI Agent Systems into Universal Collaborative Intelligence PlatformsCode1
PAKTON: A Multi-Agent Framework for Question Answering in Long Legal AgreementsCode1
Sentinel: Attention Probing of Proxy Models for LLM Context Compression with an Understanding PerspectiveCode1
KnowTrace: Bootstrapping Iterative Retrieval-Augmented Generation with Structured Knowledge TracingCode1
R3-RAG: Learning Step-by-Step Reasoning and Retrieval for LLMs via Reinforcement LearningCode1
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