DiffCoT applies diffusion-style iterative denoising to chain-of-thought steps with a causal noise schedule, outperforming standard CoT optimization methods on multi-step reasoning benchmarks.
InProceed- ings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Pa- pers), pages 9426–9439, Bangkok, Thailand
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Dual-Track CoT lets small language models perform reliable multi-step reasoning with the same or fewer tokens via budget tracking and rejection of redundant steps.
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DiffCoT: Diffusion-styled Chain-of-Thought Reasoning in LLMs
DiffCoT applies diffusion-style iterative denoising to chain-of-thought steps with a causal noise schedule, outperforming standard CoT optimization methods on multi-step reasoning benchmarks.
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Dual-Track CoT: Budget-Aware Stepwise Guidance for Small LMs
Dual-Track CoT lets small language models perform reliable multi-step reasoning with the same or fewer tokens via budget tracking and rejection of redundant steps.