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Retrieval-augmented Generation

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Showing 201–250 of 2196 papers

TitleStatusHype
Datrics Text2SQL. A Framework for Natural Language to SQL Query GenerationCode2
Blended RAG: Improving RAG (Retriever-Augmented Generation) Accuracy with Semantic Search and Hybrid Query-Based RetrieversCode2
OmniEval: An Omnidirectional and Automatic RAG Evaluation Benchmark in Financial DomainCode2
Biomedical knowledge graph-optimized prompt generation for large language modelsCode2
Fast Think-on-Graph: Wider, Deeper and Faster Reasoning of Large Language Model on Knowledge GraphCode2
FedRAG: A Framework for Fine-Tuning Retrieval-Augmented Generation SystemsCode2
Multi-Reranker: Maximizing performance of retrieval-augmented generation in the FinanceRAG challengeCode2
Beyond Text: Optimizing RAG with Multimodal Inputs for Industrial ApplicationsCode2
RGL: A Graph-Centric, Modular Framework for Efficient Retrieval-Augmented Generation on GraphsCode2
Superposition Prompting: Improving and Accelerating Retrieval-Augmented GenerationCode2
Language Model Powered Digital Biology with BRADCode2
NavRAG: Generating User Demand Instructions for Embodied Navigation through Retrieval-Augmented LLMCode2
EVOR: Evolving Retrieval for Code GenerationCode2
Knowledge Graph-Guided Retrieval Augmented GenerationCode2
Active Retrieval Augmented GenerationCode2
DISC-FinLLM: A Chinese Financial Large Language Model based on Multiple Experts Fine-tuningCode2
The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG)Code2
The Power of Noise: Redefining Retrieval for RAG SystemsCode2
LARGE: Legal Retrieval Augmented Generation Evaluation ToolCode2
FaithEval: Can Your Language Model Stay Faithful to Context, Even If "The Moon is Made of Marshmallows"Code2
MTRAG: A Multi-Turn Conversational Benchmark for Evaluating Retrieval-Augmented Generation SystemsCode2
OCR Hinders RAG: Evaluating the Cascading Impact of OCR on Retrieval-Augmented GenerationCode2
ActiveRAG: Autonomously Knowledge Assimilation and Accommodation through Retrieval-Augmented AgentsCode2
AiSAQ: All-in-Storage ANNS with Product Quantization for DRAM-free Information RetrievalCode2
Benchmarking Retrieval-Augmented Generation in Multi-Modal ContextsCode2
Benchmarking Large Language Models in Retrieval-Augmented GenerationCode2
Extract, Define, Canonicalize: An LLM-based Framework for Knowledge Graph ConstructionCode2
DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented GenerationCode2
Evaluation of Retrieval-Augmented Generation: A SurveyCode2
Measuring and Enhancing Trustworthiness of LLMs in RAG through Grounded Attributions and Learning to RefuseCode2
Evaluating RAG-Fusion with RAGElo: an Automated Elo-based FrameworkCode2
Unsupervised Information Refinement Training of Large Language Models for Retrieval-Augmented GenerationCode2
Dynamic Parametric Retrieval Augmented Generation for Test-time Knowledge EnhancementCode2
Huatuo-26M, a Large-scale Chinese Medical QA DatasetCode2
RetroLLM: Empowering Large Language Models to Retrieve Fine-grained Evidence within GenerationCode2
A Comprehensive Evaluation of GPT-4V on Knowledge-Intensive Visual Question AnsweringCode1
Long-Context Inference with Retrieval-Augmented Speculative DecodingCode1
SafeAuto: Knowledge-Enhanced Safe Autonomous Driving with Multimodal Foundation ModelsCode1
Enhancing Speech-to-Speech Dialogue Modeling with End-to-End Retrieval-Augmented GenerationCode1
Long Context vs. RAG for LLMs: An Evaluation and RevisitsCode1
Enhancing LLM Factual Accuracy with RAG to Counter Hallucinations: A Case Study on Domain-Specific Queries in Private Knowledge-BasesCode1
Enhancing Noise Robustness of Retrieval-Augmented Language Models with Adaptive Adversarial TrainingCode1
End-to-End Learning of Flowchart Grounded Task-Oriented DialogsCode1
ImageRAG: Enhancing Ultra High Resolution Remote Sensing Imagery Analysis with ImageRAGCode1
LLM-Lasso: A Robust Framework for Domain-Informed Feature Selection and RegularizationCode1
Emotional RAG: Enhancing Role-Playing Agents through Emotional RetrievalCode1
Enhancing Retrieval and Managing Retrieval: A Four-Module Synergy for Improved Quality and Efficiency in RAG SystemsCode1
LLMs Know What They Need: Leveraging a Missing Information Guided Framework to Empower Retrieval-Augmented GenerationCode1
Logic-RAG: Augmenting Large Multimodal Models with Visual-Spatial Knowledge for Road Scene UnderstandingCode1
MacRAG: Compress, Slice, and Scale-up for Multi-Scale Adaptive Context RAGCode1
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