Uncertainty signals improve code generation in large language models using rollback mechanisms? A systematic study of uncertainty-aware decoding with rollback.
Read the original at arxiv.org→arXiv:2608.14653v1 Announce Type: new Abstract: Prediction uncertainty is a widely adopted metric for quantifying model confidence, with downstream applications spanning model explanation, data selection, and...
Original headline: "Do Uncertainty Signals Help? A Systematic Study of Uncertainty-Aware Decoding with Rollback Mechanisms"
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- Aug 18, 04:00 UTC arXiv cs.LG lead source Do Uncertainty Signals Help? A Systematic Study of Uncertainty-Aware Decoding with Rollback Mechanisms