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cs.LG2026
Iterative Exact Discrete Guidance for Energy-Based Sampling
Yuwen Qian, Yidong Ouyang, Zhengyan Wan +1
Sampling from unnormalized distributions over large discrete state spaces becomes difficult when a multimodal target is far from a tractable reference. We introduce Iterative Exact…
cs.LG2026
dFlowGRPO: Rate-Aware Policy Optimization for Discrete Flow Models
Zhengyan Wan, Yidong Ouyang, Panwen Hu +1
Discrete flow models (DFMs) are a class of flexible generative models for generating discrete data, and diffusion large language models (dLLMs) can be viewed as a special case with…
cs.LG2025
Discrete Guidance Matching: Exact Guidance for Discrete Flow Matching
Zhengyan Wan, Yidong Ouyang, Liyan Xie +3
Guidance provides a simple and effective framework for posterior sampling by steering the generation process towards the desired distribution. When modeling discrete data, existing…