7 citations · 14 across the 9 of their papers we have counts for
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cs.LG2026
ReSFlow: Rectifying Categorical Flows on Statistical Manifolds for One-Step Generation
Xiaohuan Jia, Renzhe Xu, Xiao Wang +2
Generative modeling for discrete data has been significantly advanced by learning continuous vector fields on the statistical manifolds to transport simple priors to target discret…
cs.LG2026
Momentum Streams for Optimizer-Inspired Transformers
Jingchu Gai, Nai-Chieh Huang, Jiayun Wu
The residual update of a pre-norm Transformer layer admits an interpretation as one step of a first-order optimizer acting on a surrogate token energy, wherein the attention and ML…
cs.LG2026
Mitigating LLM Hallucination via Behaviorally Calibrated Reinforcement Learning
Jiayun Wu, Jiashuo Liu, Zhiyuan Zeng +3
LLM deployment in critical domains is currently impeded by persistent hallucinations--generating plausible but factually incorrect assertions. While scaling laws drove significant…