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Frustratingly Simple Black-Box Adaptation of Language Models via Logit Bias

arXiv cs.LG · 2026-07-28 Cached

This paper proposes a black-box method for adapting language models by learning a single context-independent logit-bias vector added at every decoding step, which improves performance on math and reasoning tasks without modifying model weights or requiring gradients.

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