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Retrieval-augmented Generation

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TitleStatusHype
RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language ModelsCode2
Qilin: A Multimodal Information Retrieval Dataset with APP-level User SessionsCode2
FedRAG: A Framework for Fine-Tuning Retrieval-Augmented Generation SystemsCode2
PersonaRAG: Enhancing Retrieval-Augmented Generation Systems with User-Centric AgentsCode2
PlanRAG: A Plan-then-Retrieval Augmented Generation for Generative Large Language Models as Decision MakersCode2
RAGViz: Diagnose and Visualize Retrieval-Augmented GenerationCode2
OntoAligner: A Comprehensive Modular and Robust Python Toolkit for Ontology AlignmentCode2
cAST: Enhancing Code Retrieval-Augmented Generation with Structural Chunking via Abstract Syntax TreeCode2
OntologyRAG: Better and Faster Biomedical Code Mapping with Retrieval-Augmented Generation (RAG) Leveraging Ontology Knowledge Graphs and Large Language ModelsCode2
Evaluation of Retrieval-Augmented Generation: A SurveyCode2
NavRAG: Generating User Demand Instructions for Embodied Navigation through Retrieval-Augmented LLMCode2
OmniEval: An Omnidirectional and Automatic RAG Evaluation Benchmark in Financial DomainCode2
Open-RAG: Enhanced Retrieval-Augmented Reasoning with Open-Source Large Language ModelsCode2
EraRAG: Efficient and Incremental Retrieval Augmented Generation for Growing CorporaCode2
MTRAG: A Multi-Turn Conversational Benchmark for Evaluating Retrieval-Augmented Generation SystemsCode2
Evaluating RAG-Fusion with RAGElo: an Automated Elo-based FrameworkCode2
Blended RAG: Improving RAG (Retriever-Augmented Generation) Accuracy with Semantic Search and Hybrid Query-Based RetrieversCode2
Multi-Reranker: Maximizing performance of retrieval-augmented generation in the FinanceRAG challengeCode2
Biomedical knowledge graph-optimized prompt generation for large language modelsCode2
OCR Hinders RAG: Evaluating the Cascading Impact of OCR on Retrieval-Augmented GenerationCode2
FaithEval: Can Your Language Model Stay Faithful to Context, Even If "The Moon is Made of Marshmallows"Code2
RA-ISF: Learning to Answer and Understand from Retrieval Augmentation via Iterative Self-FeedbackCode2
Extract, Define, Canonicalize: An LLM-based Framework for Knowledge Graph ConstructionCode2
Enhancing Autonomous Driving Systems with On-Board Deployed Large Language ModelsCode2
Beyond Text: Optimizing RAG with Multimodal Inputs for Industrial ApplicationsCode2
Measuring and Enhancing Trustworthiness of LLMs in RAG through Grounded Attributions and Learning to RefuseCode2
Empowering Large Language Models to Set up a Knowledge Retrieval Indexer via Self-LearningCode2
Dynamic Parametric Retrieval Augmented Generation for Test-time Knowledge EnhancementCode2
Benchmarking Retrieval-Augmented Generation in Multi-Modal ContextsCode2
LongRAG: A Dual-Perspective Retrieval-Augmented Generation Paradigm for Long-Context Question AnsweringCode2
QAEncoder: Towards Aligned Representation Learning in Question Answering SystemCode2
Fast Think-on-Graph: Wider, Deeper and Faster Reasoning of Large Language Model on Knowledge GraphCode2
LoRANN: Low-Rank Matrix Factorization for Approximate Nearest Neighbor SearchCode2
MCTS-RAG: Enhancing Retrieval-Augmented Generation with Monte Carlo Tree SearchCode2
CodeRAG-Bench: Can Retrieval Augment Code Generation?Code2
EfficientRAG: Efficient Retriever for Multi-Hop Question AnsweringCode2
LLaMP: Large Language Model Made Powerful for High-fidelity Materials Knowledge Retrieval and DistillationCode2
Benchmarking Large Language Models in Retrieval-Augmented GenerationCode2
RGL: A Graph-Centric, Modular Framework for Efficient Retrieval-Augmented Generation on GraphsCode2
LLM4Ranking: An Easy-to-use Framework of Utilizing Large Language Models for Document RerankingCode2
Active Retrieval Augmented GenerationCode2
Language Model Powered Digital Biology with BRADCode2
CORAL: Benchmarking Multi-turn Conversational Retrieval-Augmentation GenerationCode2
LLM-based SPARQL Query Generation from Natural Language over Federated Knowledge GraphsCode2
ActiveRAG: Autonomously Knowledge Assimilation and Accommodation through Retrieval-Augmented AgentsCode2
AiSAQ: All-in-Storage ANNS with Product Quantization for DRAM-free Information RetrievalCode2
RAS: Retrieval-And-Structuring for Knowledge-Intensive LLM GenerationCode2
LegalBench-RAG: A Benchmark for Retrieval-Augmented Generation in the Legal DomainCode2
LevelRAG: Enhancing Retrieval-Augmented Generation with Multi-hop Logic Planning over Rewriting Augmented SearchersCode2
LatteReview: A Multi-Agent Framework for Systematic Review Automation Using Large Language ModelsCode2
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