GEAR
A training-free latent reasoning method that reweights candidate tokens using the geometric structure of the model's existing embedding space to select more consistent reasoning paths.
Timeline (last 90 days)
J-Comm consists of two components: GEAR (Geometric Agreement for Latent Reasoning) and the H+J communication interface.
GEAR is a training-free latent reasoning method that monotonically optimizes geometric consensus in embedding space by reweighting candidate tokens.
Whether the gains of GEAR's geometric consensus optimization on reasoning tasks diminish as model capability increases is an open question.
All Facts (3)
J-Comm consists of two components: GEAR (Geometric Agreement for Latent Reasoning) and the H+J communication interface.
50%UnverifiedGEAR is a training-free latent reasoning method that monotonically optimizes geometric consensus in embedding space by reweighting candidate tokens.
50%UnverifiedWhether the gains of GEAR's geometric consensus optimization on reasoning tasks diminish as model capability increases is an open question.
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