arXiv cs.CLPaper
Evaluating and Improving Evidence-Grounded Fact-Checking in LLMs via Multi-Round Evidence Ablation
This is a real problem: LLM fact-checkers often ignore the evidence you give them. REAL training is a concrete fix, but the insight isn't new. If you're building retrieval-augmented systems or verification pipelines, you already knew this. The value is in the training method, which you should benchmark on your own data.