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Retrieval-augmented Generation

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Showing 101–125 of 2196 papers

TitleStatusHype
Searching for Best Practices in Retrieval-Augmented GenerationCode3
Panza: Design and Analysis of a Fully-Local Personalized Text Writing AssistantCode3
CRAG -- Comprehensive RAG BenchmarkCode3
Multi-Head RAG: Solving Multi-Aspect Problems with LLMsCode3
GNN-RAG: Graph Neural Retrieval for Large Language Model ReasoningCode3
GRAG: Graph Retrieval-Augmented GenerationCode3
RAG and RAU: A Survey on Retrieval-Augmented Language Model in Natural Language ProcessingCode3
AlphaFin: Benchmarking Financial Analysis with Retrieval-Augmented Stock-Chain FrameworkCode3
From human experts to machines: An LLM supported approach to ontology and knowledge graph constructionCode3
PoisonedRAG: Knowledge Corruption Attacks to Retrieval-Augmented Generation of Large Language ModelsCode3
CRUD-RAG: A Comprehensive Chinese Benchmark for Retrieval-Augmented Generation of Large Language ModelsCode3
Corrective Retrieval Augmented GenerationCode3
MultiHop-RAG: Benchmarking Retrieval-Augmented Generation for Multi-Hop QueriesCode3
EraRAG: Efficient and Incremental Retrieval Augmented Generation for Growing CorporaCode2
cAST: Enhancing Code Retrieval-Augmented Generation with Structural Chunking via Abstract Syntax TreeCode2
TableRAG: A Retrieval Augmented Generation Framework for Heterogeneous Document ReasoningCode2
FedRAG: A Framework for Fine-Tuning Retrieval-Augmented Generation SystemsCode2
Reinforced Internal-External Knowledge Synergistic Reasoning for Efficient Adaptive Search AgentCode2
DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented GenerationCode2
UniversalRAG: Retrieval-Augmented Generation over Corpora of Diverse Modalities and GranularitiesCode2
Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive SurveyCode2
Enhancing Autonomous Driving Systems with On-Board Deployed Large Language ModelsCode2
A Survey of Personalization: From RAG to AgentCode2
HM-RAG: Hierarchical Multi-Agent Multimodal Retrieval Augmented GenerationCode2
LLM4Ranking: An Easy-to-use Framework of Utilizing Large Language Models for Document RerankingCode2
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