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Retrieval-augmented Generation

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Showing 176–200 of 2196 papers

TitleStatusHype
ARES: An Automated Evaluation Framework for Retrieval-Augmented Generation SystemsCode2
MCTS-RAG: Enhancing Retrieval-Augmented Generation with Monte Carlo Tree SearchCode2
LLM-based SPARQL Query Generation from Natural Language over Federated Knowledge GraphsCode2
LLM4Ranking: An Easy-to-use Framework of Utilizing Large Language Models for Document RerankingCode2
LongRAG: A Dual-Perspective Retrieval-Augmented Generation Paradigm for Long-Context Question AnsweringCode2
LitLLM: A Toolkit for Scientific Literature ReviewCode2
RGL: A Graph-Centric, Modular Framework for Efficient Retrieval-Augmented Generation on GraphsCode2
LLaMP: Large Language Model Made Powerful for High-fidelity Materials Knowledge Retrieval and DistillationCode2
Enhancing Autonomous Driving Systems with On-Board Deployed Large Language ModelsCode2
LoRANN: Low-Rank Matrix Factorization for Approximate Nearest Neighbor SearchCode2
cAST: Enhancing Code Retrieval-Augmented Generation with Structural Chunking via Abstract Syntax TreeCode2
Active Retrieval Augmented GenerationCode2
LevelRAG: Enhancing Retrieval-Augmented Generation with Multi-hop Logic Planning over Rewriting Augmented SearchersCode2
EraRAG: Efficient and Incremental Retrieval Augmented Generation for Growing CorporaCode2
Evaluating RAG-Fusion with RAGElo: an Automated Elo-based FrameworkCode2
LegalBench-RAG: A Benchmark for Retrieval-Augmented Generation in the Legal DomainCode2
ActiveRAG: Autonomously Knowledge Assimilation and Accommodation through Retrieval-Augmented AgentsCode2
AiSAQ: All-in-Storage ANNS with Product Quantization for DRAM-free Information RetrievalCode2
Blended RAG: Improving RAG (Retriever-Augmented Generation) Accuracy with Semantic Search and Hybrid Query-Based RetrieversCode2
Granite GuardianCode2
FaithEval: Can Your Language Model Stay Faithful to Context, Even If "The Moon is Made of Marshmallows"Code2
Biomedical knowledge graph-optimized prompt generation for large language modelsCode2
RA-ISF: Learning to Answer and Understand from Retrieval Augmentation via Iterative Self-FeedbackCode2
Language Model Powered Digital Biology with BRADCode2
LARGE: Legal Retrieval Augmented Generation Evaluation ToolCode2
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