GRAM accepted to NeurIPS 2026
The announcement describes a recursive-reasoning approach that works with multiple hypotheses and scales in both depth and width during inference.
TLDR
A September 25 announcement says GRAM was accepted to NeurIPS 2026. It describes the method as turning recursive reasoning into a “stochastic latent trajectory,” with multiple hypotheses and inference-time scaling in both depth and width. The announcement said a revised paper and code would be released soon.
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GRAM accepted to NeurIPS 2026
The announcement describes a recursive-reasoning approach that works with multiple hypotheses and scales in both depth and width during inference.