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Retrieval-augmented Generation

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Showing 1851–1875 of 2196 papers

TitleStatusHype
RAG+: Enhancing Retrieval-Augmented Generation with Application-Aware Reasoning—0
RAGent: Retrieval-based Access Control Policy Generation—0
RAG for Effective Supply Chain Security Questionnaire Automation—0
RAG-Fusion: a New Take on Retrieval-Augmented Generation—0
RAGged Edges: The Double-Edged Sword of Retrieval-Augmented Chatbots—0
RAG-Gym: Optimizing Reasoning and Search Agents with Process Supervision—0
RAG-KG-IL: A Multi-Agent Hybrid Framework for Reducing Hallucinations and Enhancing LLM Reasoning through RAG and Incremental Knowledge Graph Learning Integration—0
RAG LLMs are Not Safer: A Safety Analysis of Retrieval-Augmented Generation for Large Language Models—0
RAG-MCP: Mitigating Prompt Bloat in LLM Tool Selection via Retrieval-Augmented Generation—0
RAGONITE: Iterative Retrieval on Induced Databases and Verbalized RDF for Conversational QA over KGs with RAG—0
RAG-Optimized Tibetan Tourism LLMs: Enhancing Accuracy and Personalization—0
RAG-Reward: Optimizing RAG with Reward Modeling and RLHF—0
RAG-RL: Advancing Retrieval-Augmented Generation via RL and Curriculum Learning—0
RAGServe: Fast Quality-Aware RAG Systems with Configuration Adaptation—0
RAGSys: Item-Cold-Start Recommender as RAG System—0
RAGtifier: Evaluating RAG Generation Approaches of State-of-the-Art RAG Systems for the SIGIR LiveRAG Competition—0
RAG-Verus: Repository-Level Program Verification with LLMs using Retrieval Augmented Generation—0
RAG vs Fine-tuning: Pipelines, Tradeoffs, and a Case Study on Agriculture—0
RAG vs. GraphRAG: A Systematic Evaluation and Key Insights—0
Examining Long-Context Large Language Models for Environmental Review Document Comprehension—0
RAG Without the Lag: Interactive Debugging for Retrieval-Augmented Generation Pipelines—0
RAG-WM: An Efficient Black-Box Watermarking Approach for Retrieval-Augmented Generation of Large Language Models—0
RAGXplain: From Explainable Evaluation to Actionable Guidance of RAG Pipelines—0
RAG-Zeval: Towards Robust and Interpretable Evaluation on RAG Responses through End-to-End Rule-Guided Reasoning—0
Raiders of the Lost Dependency: Fixing Dependency Conflicts in Python using LLMs—0
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