AI RESEARCH
Sigmoid Head for Quality Estimation under Language Ambiguity
arXiv CS.CL
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ArXi:2601.00680v2 Announce Type: replace Language model (LM) probability is not a reliable quality estimator, as natural language is ambiguous. When multiple output options are valid, the model's probability distribution is spread across them, which can misleadingly indicate low output quality. This issue is caused by two reasons: (1) LMs' final output activation is softmax, which does not allow multiple correct options to receive high probabilities simultaneuously and (2) LMs'