SOTAVerified

Retrieval-augmented Generation

Papers

Showing 10761100 of 2196 papers

TitleStatusHype
RAGged Edges: The Double-Edged Sword of Retrieval-Augmented Chatbots0
RAG-Gym: Optimizing Reasoning and Search Agents with Process Supervision0
RAG-KG-IL: A Multi-Agent Hybrid Framework for Reducing Hallucinations and Enhancing LLM Reasoning through RAG and Incremental Knowledge Graph Learning Integration0
RAG LLMs are Not Safer: A Safety Analysis of Retrieval-Augmented Generation for Large Language Models0
RAG-MCP: Mitigating Prompt Bloat in LLM Tool Selection via Retrieval-Augmented Generation0
RAGONITE: Iterative Retrieval on Induced Databases and Verbalized RDF for Conversational QA over KGs with RAG0
RAG-Optimized Tibetan Tourism LLMs: Enhancing Accuracy and Personalization0
RAG-Reward: Optimizing RAG with Reward Modeling and RLHF0
RAG-RL: Advancing Retrieval-Augmented Generation via RL and Curriculum Learning0
RAGServe: Fast Quality-Aware RAG Systems with Configuration Adaptation0
RAGSys: Item-Cold-Start Recommender as RAG System0
RAGtifier: Evaluating RAG Generation Approaches of State-of-the-Art RAG Systems for the SIGIR LiveRAG Competition0
RAG-Verus: Repository-Level Program Verification with LLMs using Retrieval Augmented Generation0
RAG vs Fine-tuning: Pipelines, Tradeoffs, and a Case Study on Agriculture0
RAG vs. GraphRAG: A Systematic Evaluation and Key Insights0
Examining Long-Context Large Language Models for Environmental Review Document Comprehension0
RAG Without the Lag: Interactive Debugging for Retrieval-Augmented Generation Pipelines0
RAG-WM: An Efficient Black-Box Watermarking Approach for Retrieval-Augmented Generation of Large Language Models0
RAGXplain: From Explainable Evaluation to Actionable Guidance of RAG Pipelines0
RAG-Zeval: Towards Robust and Interpretable Evaluation on RAG Responses through End-to-End Rule-Guided Reasoning0
Raiders of the Lost Dependency: Fixing Dependency Conflicts in Python using LLMs0
RAMO: Retrieval-Augmented Generation for Enhancing MOOCs Recommendations0
Ranking Free RAG: Replacing Re-ranking with Selection in RAG for Sensitive Domains0
RankLLM: A Python Package for Reranking with LLMs0
RankRAG: Unifying Context Ranking with Retrieval-Augmented Generation in LLMs0
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