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Characterizing LLM Abstention Behavior in Science QA with Context Perturbations
April 22, 2024, 4:46 a.m. | Bingbing Wen, Bill Howe, Lucy Lu Wang
cs.CL updates on arXiv.org arxiv.org
Abstract: The correct model response in the face of uncertainty is to abstain from answering a question so as not to mislead the user. In this work, we study the ability of LLMs to abstain from answering context-dependent science questions when provided insufficient or incorrect context. We probe model sensitivity in several settings: removing gold context, replacing gold context with irrelevant context, and providing additional context beyond what is given. In experiments on four QA datasets …
abstract arxiv behavior context cs.cl face llm llms question questions science study type uncertainty work
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