Strong yet Controllable LLM Abstention without Learning to Abstain
Large language models (LLMs) can reduce hallucination by abstaining from questions they would likely get wrong. Abstention can be implemented outside the model (selective answering) using a confidence threshold that controls the answer rate (coverage), or learned inside it (abstention training), which can perform bette...
Jun-Wei Zhang, Yi-Fei Wang, Wan-Li Yang et al.
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