Han-Tian Zhang

Do LLMs Know When Evidence is Insufficient? An Evidence Sufficiency Benchmark for Answer-Abstention Calibration in Retrieval-Augmented Generation

The evidence sufficiency curves show that models reduce their answer rates as evidence quality decreases, but their abstention behavior remains unreliable, suggesting that current LLMs still struggle to recognize when evidence is insufficient in RAG settings.