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Retrieval-augmented Generation

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Showing 2051–2075 of 2196 papers

TitleStatusHype
LitLLM: A Toolkit for Scientific Literature ReviewCode2
Retrieval Augmented End-to-End Spoken Dialog Models—0
Continual Learning for Large Language Models: A Survey—0
CorpusLM: Towards a Unified Language Model on Corpus for Knowledge-Intensive Tasks—0
HiQA: A Hierarchical Contextual Augmentation RAG for Multi-Documents QA—0
Health-LLM: Personalized Retrieval-Augmented Disease Prediction System—0
RAG-Fusion: a New Take on Retrieval-Augmented Generation—0
ReSLLM: Large Language Models are Strong Resource Selectors for Federated Search—0
Large Multi-Modal Models (LMMs) as Universal Foundation Models for AI-Native Wireless Systems—0
LLaMP: Large Language Model Made Powerful for High-fidelity Materials Knowledge Retrieval and DistillationCode2
Weaver: Foundation Models for Creative Writing—0
CRUD-RAG: A Comprehensive Chinese Benchmark for Retrieval-Augmented Generation of Large Language ModelsCode3
Development and Testing of a Novel Large Language Model-Based Clinical Decision Support Systems for Medication Safety in 12 Clinical Specialties—0
Development and Testing of Retrieval Augmented Generation in Large Language Models -- A Case Study Report—0
Corrective Retrieval Augmented GenerationCode3
Enhancing Large Language Model Performance To Answer Questions and Extract Information More Accurately—0
MultiHop-RAG: Benchmarking Retrieval-Augmented Generation for Multi-Hop QueriesCode3
A RAG-based Question Answering System Proposal for Understanding Islam: MufassirQAS LLM—0
Improving Medical Reasoning through Retrieval and Self-Reflection with Retrieval-Augmented Large Language ModelsCode2
From RAG to QA-RAG: Integrating Generative AI for Pharmaceutical Regulatory Compliance ProcessCode1
The Power of Noise: Redefining Retrieval for RAG SystemsCode2
UniMS-RAG: A Unified Multi-source Retrieval-Augmented Generation for Personalized Dialogue Systems—0
Revolutionizing Retrieval-Augmented Generation with Enhanced PDF Structure Recognition—0
Evaluating and Enhancing Large Language Models Performance in Domain-specific Medicine: Osteoarthritis Management with DocOA—0
Prompt-RAG: Pioneering Vector Embedding-Free Retrieval-Augmented Generation in Niche Domains, Exemplified by Korean Medicine—0
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