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Retrieval-augmented Generation

Papers

Showing 201225 of 2196 papers

TitleStatusHype
Enhancing Retrieval-Augmented Generation: A Study of Best PracticesCode2
Active Retrieval Augmented GenerationCode2
MCTS-RAG: Enhancing Retrieval-Augmented Generation with Monte Carlo Tree SearchCode2
Retrieval Augmented Time Series ForecastingCode2
Datrics Text2SQL. A Framework for Natural Language to SQL Query GenerationCode2
Beyond Text: Optimizing RAG with Multimodal Inputs for Industrial ApplicationsCode2
ActiveRAG: Autonomously Knowledge Assimilation and Accommodation through Retrieval-Augmented AgentsCode2
AiSAQ: All-in-Storage ANNS with Product Quantization for DRAM-free Information RetrievalCode2
Improving Retrieval-Augmented Generation through Multi-Agent Reinforcement LearningCode2
RS-Agent: Automating Remote Sensing Tasks through Intelligent AgentCode2
LLM4Ranking: An Easy-to-use Framework of Utilizing Large Language Models for Document RerankingCode2
Benchmarking Large Language Models in Retrieval-Augmented GenerationCode2
EVOR: Evolving Retrieval for Code GenerationCode2
Improving Medical Reasoning through Retrieval and Self-Reflection with Retrieval-Augmented Large Language ModelsCode2
Enhancing Autonomous Driving Systems with On-Board Deployed Large Language ModelsCode2
LLM-based SPARQL Query Generation from Natural Language over Federated Knowledge GraphsCode2
Empowering Large Language Models to Set up a Knowledge Retrieval Indexer via Self-LearningCode2
LitLLM: A Toolkit for Scientific Literature ReviewCode2
InstructRAG: Instructing Retrieval-Augmented Generation via Self-Synthesized RationalesCode2
LLaMP: Large Language Model Made Powerful for High-fidelity Materials Knowledge Retrieval and DistillationCode2
LongRAG: A Dual-Perspective Retrieval-Augmented Generation Paradigm for Long-Context Question AnsweringCode2
EfficientRAG: Efficient Retriever for Multi-Hop Question AnsweringCode2
CORAL: Benchmarking Multi-turn Conversational Retrieval-Augmentation GenerationCode2
Leave No Document Behind: Benchmarking Long-Context LLMs with Extended Multi-Doc QACode2
LegalBench-RAG: A Benchmark for Retrieval-Augmented Generation in the Legal DomainCode2
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