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cs.AI2026
Inference-Time Conformal Reasoning with Valid Factuality Control for Large Language Models
Ting Wang, Yuanjie Shi, Yan Yan +1
Large language models (LLMs) increasingly perform multi-step reasoning, where intermediate claims form implicit directed acyclic graphs whose node correctness is structurally condi…
cs.CL2026
When to Plan, When to Polish: Noise Level as a Granularity Axis for Diffusion Language Models
Peihong Li, Yuanjie Shi, Yan Yan
Standard tokenwise diffusion LMs keep training corruption and inference commitment at token granularity throughout denoising. At high noise, this leaves scattered local fragments r…