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Retrieval-augmented Generation

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Showing 1051–1075 of 2196 papers

TitleStatusHype
FACTOID: FACtual enTailment fOr hallucInation Detection—0
Chain-of-Rank: Enhancing Large Language Models for Domain-Specific RAG in Edge Device—0
ARCS: Agentic Retrieval-Augmented Code Synthesis with Iterative Refinement—0
A Fine-tuning Enhanced RAG System with Quantized Influence Measure as AI Judge—0
Fact-checking AI-generated news reports: Can LLMs catch their own lies?—0
Chain of Agents: Large Language Models Collaborating on Long-Context Tasks—0
Facilitating Video Story Interaction with Multi-Agent Collaborative System—0
CG-RAG: Research Question Answering by Citation Graph Retrieval-Augmented LLMs—0
Face4RAG: Factual Consistency Evaluation for Retrieval Augmented Generation in Chinese—0
FABULA: Intelligence Report Generation Using Retrieval-Augmented Narrative Construction—0
EyeGPT: Ophthalmic Assistant with Large Language Models—0
C-FedRAG: A Confidential Federated Retrieval-Augmented Generation System—0
ArchRAG: Attributed Community-based Hierarchical Retrieval-Augmented Generation—0
Advice for Diabetes Self-Management by ChatGPT Models: Challenges and Recommendations—0
A Cascading Cooperative Multi-agent Framework for On-ramp Merging Control Integrating Large Language Models—0
Extracting Sentence Embeddings from Pretrained Transformer Models—0
Ext2Gen: Alignment through Unified Extraction and Generation for Robust Retrieval-Augmented Generation—0
Exploring the Role of Knowledge Graph-Based RAG in Japanese Medical Question Answering with Small-Scale LLMs—0
A RAG-based Question Answering System Proposal for Understanding Islam: MufassirQAS LLM—0
Exploring the Potential of Large Language Models for Automation in Technical Customer Service—0
Exploring the Meaningfulness of Nearest Neighbor Search in High-Dimensional Space—0
CDE-Mapper: Using Retrieval-Augmented Language Models for Linking Clinical Data Elements to Controlled Vocabularies—0
Exploring the landscape of large language models: Foundations, techniques, and challenges—0
Modeling Uncertainty and Using Post-fusion as Fallback Improves Retrieval Augmented Generation with LLMs—0
CCSK:Cognitive Convection of Self-Knowledge Based Retrieval Augmentation for Large Language Models—0
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