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Retrieval-augmented Generation

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Showing 201–225 of 2196 papers

TitleStatusHype
CyberMetric: A Benchmark Dataset based on Retrieval-Augmented Generation for Evaluating LLMs in Cybersecurity KnowledgeCode2
Retrieval-Augmented Perception: High-Resolution Image Perception Meets Visual RAGCode2
Evaluating RAG-Fusion with RAGElo: an Automated Elo-based FrameworkCode2
MCTS-RAG: Enhancing Retrieval-Augmented Generation with Monte Carlo Tree SearchCode2
Datrics Text2SQL. A Framework for Natural Language to SQL Query GenerationCode2
ActiveRAG: Autonomously Knowledge Assimilation and Accommodation through Retrieval-Augmented AgentsCode2
AiSAQ: All-in-Storage ANNS with Product Quantization for DRAM-free Information RetrievalCode2
ARES: An Automated Evaluation Framework for Retrieval-Augmented Generation SystemsCode2
LLM-based SPARQL Query Generation from Natural Language over Federated Knowledge GraphsCode2
KaLM-Embedding: Superior Training Data Brings A Stronger Embedding ModelCode2
Benchmarking Large Language Models in Retrieval-Augmented GenerationCode2
LLM4Ranking: An Easy-to-use Framework of Utilizing Large Language Models for Document RerankingCode2
EVOR: Evolving Retrieval for Code GenerationCode2
Improving Medical Reasoning through Retrieval and Self-Reflection with Retrieval-Augmented Large Language ModelsCode2
LongRAG: A Dual-Perspective Retrieval-Augmented Generation Paradigm for Long-Context Question AnsweringCode2
Enhancing Autonomous Driving Systems with On-Board Deployed Large Language ModelsCode2
LitLLM: A Toolkit for Scientific Literature ReviewCode2
DISC-FinLLM: A Chinese Financial Large Language Model based on Multiple Experts Fine-tuningCode2
LLaMP: Large Language Model Made Powerful for High-fidelity Materials Knowledge Retrieval and DistillationCode2
LoRANN: Low-Rank Matrix Factorization for Approximate Nearest Neighbor SearchCode2
LegalBench-RAG: A Benchmark for Retrieval-Augmented Generation in the Legal DomainCode2
Leave No Document Behind: Benchmarking Long-Context LLMs with Extended Multi-Doc QACode2
CORAL: Benchmarking Multi-turn Conversational Retrieval-Augmentation GenerationCode2
DRAGIN: Dynamic Retrieval Augmented Generation based on the Information Needs of Large Language ModelsCode2
EfficientRAG: Efficient Retriever for Multi-Hop Question AnsweringCode2
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