OALMs exhibit order-dependent likelihoods up to 0.49 nats/token and a uniform confidence spread maximizes recoverability, motivating Var(log q_t) as a decoding diagnostic.
Improving diffusion language model decoding through joint search in generation order and token space.arXiv preprint arXiv:2601.20339, 2026
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Decoding in Order-Agnostic Language Models: Chain-Rule Deviation and Uniform Spreading
OALMs exhibit order-dependent likelihoods up to 0.49 nats/token and a uniform confidence spread maximizes recoverability, motivating Var(log q_t) as a decoding diagnostic.