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language model inference

topic1 events
papersSEP 11 04:00 UTC

RecurTrace pairs latent recurrent reasoning with adaptive loop-time memory

A new arXiv paper examines how repeating a small block of middle layers can raise a language model's effective inference depth without extra parameters or additional generated tokens. The authors propose RecurTrace, which uses adaptive latent reasoning and a loop-time memory mechanism to address two design choices in such recurrent architectures. The work is a revised preprint and reports on improving reasoning through latent recurrence.

research/reasoning/llm-architecture/latent-recurrence