Tag
This paper proposes a method to dynamically set inference depth in AI models based on the actual questions encountered during deployment to enhance computational efficiency.
RecurTrace introduces loop-time memory and adaptive halting to improve latent reasoning in language models, achieving higher accuracy on MathQA with optimized compute compared to fixed-loop methods.