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Found 3 papers, 1 papers with code
RAG-Reward: Optimizing RAG with Reward Modeling and RLHF
Using \textbf{RAG-Reward}, we train reward models and apply reinforcement learning with human feedback (RLHF) to improve LLMs' effectiveness in RAG.
VeraCT Scan: Retrieval-Augmented Fake News Detection with Justifiable Reasoning
In response to this challenge, we introduce VeraCT Scan, a novel retrieval-augmented system for fake news detection.
RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language Models
Retrieval-augmented generation (RAG) has become a main technique for alleviating hallucinations in large language models (LLMs).
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