AI Research
Detect Before You Disambiguate: Perturbation-Based Input Ambiguity Detection in LLMs
A proposed approach targets ambiguity detection before an LLM chooses an interpretation.
Large language models (LLMs) often answer ambiguous inputs as if they had a single intended meaning.
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ArXiv CS.CL
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ArXiv CS.CL
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Ambiguous prompts can lead LLMs to answer with unwarranted certainty about what a user means. Detecting ambiguity before resolving it could help models respond more appropriately to unclear inputs.
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