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Retrieval-augmented Generation

Papers

Showing 201250 of 2196 papers

TitleStatusHype
RetroLLM: Empowering Large Language Models to Retrieve Fine-grained Evidence within GenerationCode2
Simple Is Effective: The Roles of Graphs and Large Language Models in Knowledge-Graph-Based Retrieval-Augmented GenerationCode2
CORAL: Benchmarking Multi-turn Conversational Retrieval-Augmentation GenerationCode2
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
Open-RAG: Enhanced Retrieval-Augmented Reasoning with Open-Source Large Language ModelsCode2
OmniEval: An Omnidirectional and Automatic RAG Evaluation Benchmark in Financial DomainCode2
CodeRAG-Bench: Can Retrieval Augment Code Generation?Code2
InstructRAG: Instructing Retrieval-Augmented Generation via Self-Synthesized RationalesCode2
RGL: A Graph-Centric, Modular Framework for Efficient Retrieval-Augmented Generation on GraphsCode2
OntoAligner: A Comprehensive Modular and Robust Python Toolkit for Ontology AlignmentCode2
Multi-Reranker: Maximizing performance of retrieval-augmented generation in the FinanceRAG challengeCode2
EVOR: Evolving Retrieval for Code GenerationCode2
Active Retrieval Augmented GenerationCode2
NavRAG: Generating User Demand Instructions for Embodied Navigation through Retrieval-Augmented LLMCode2
OCR Hinders RAG: Evaluating the Cascading Impact of OCR on Retrieval-Augmented GenerationCode2
Huatuo-26M, a Large-scale Chinese Medical QA DatasetCode2
OntologyRAG: Better and Faster Biomedical Code Mapping with Retrieval-Augmented Generation (RAG) Leveraging Ontology Knowledge Graphs and Large Language ModelsCode2
ActiveRAG: Autonomously Knowledge Assimilation and Accommodation through Retrieval-Augmented AgentsCode2
AiSAQ: All-in-Storage ANNS with Product Quantization for DRAM-free Information RetrievalCode2
Improving Medical Reasoning through Retrieval and Self-Reflection with Retrieval-Augmented Large Language ModelsCode2
cAST: Enhancing Code Retrieval-Augmented Generation with Structural Chunking via Abstract Syntax TreeCode2
Blended RAG: Improving RAG (Retriever-Augmented Generation) Accuracy with Semantic Search and Hybrid Query-Based RetrieversCode2
Biomedical knowledge graph-optimized prompt generation for large language modelsCode2
Dynamic Parametric Retrieval Augmented Generation for Test-time Knowledge EnhancementCode2
Benchmarking Retrieval-Augmented Generation in Multi-Modal ContextsCode2
Beyond Text: Optimizing RAG with Multimodal Inputs for Industrial ApplicationsCode2
Fast Think-on-Graph: Wider, Deeper and Faster Reasoning of Large Language Model on Knowledge GraphCode2
Benchmarking Large Language Models in Retrieval-Augmented GenerationCode2
VideoRAG: Retrieval-Augmented Generation over Video CorpusCode2
Language Model Powered Digital Biology with BRADCode2
Measuring and Enhancing Trustworthiness of LLMs in RAG through Grounded Attributions and Learning to RefuseCode2
MTRAG: A Multi-Turn Conversational Benchmark for Evaluating Retrieval-Augmented Generation SystemsCode2
QAEncoder: Towards Aligned Representation Learning in Question Answering SystemCode2
Revisiting the Solution of Meta KDD Cup 2024: CRAGCode2
A Comprehensive Evaluation of GPT-4V on Knowledge-Intensive Visual Question AnsweringCode1
Long Context vs. RAG for LLMs: An Evaluation and RevisitsCode1
LLMs Know What They Need: Leveraging a Missing Information Guided Framework to Empower Retrieval-Augmented GenerationCode1
SafeAuto: Knowledge-Enhanced Safe Autonomous Driving with Multimodal Foundation ModelsCode1
Logic-RAG: Augmenting Large Multimodal Models with Visual-Spatial Knowledge for Road Scene UnderstandingCode1
Lift Yourself Up: Retrieval-augmented Text Generation with Self MemoryCode1
LexRAG: Benchmarking Retrieval-Augmented Generation in Multi-Turn Legal Consultation ConversationCode1
Leveraging Fine-Tuned Retrieval-Augmented Generation with Long-Context Support: For 3GPP StandardsCode1
LexDrafter: Terminology Drafting for Legislative Documents using Retrieval Augmented GenerationCode1
LLM-Lasso: A Robust Framework for Domain-Informed Feature Selection and RegularizationCode1
MacRAG: Compress, Slice, and Scale-up for Multi-Scale Adaptive Context RAGCode1
Less is More: Making Smaller Language Models Competent Subgraph Retrievers for Multi-hop KGQACode1
KnowTrace: Bootstrapping Iterative Retrieval-Augmented Generation with Structured Knowledge TracingCode1
Long-Context Inference with Retrieval-Augmented Speculative DecodingCode1
Know Or Not: a library for evaluating out-of-knowledge base robustnessCode1
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