Author

Gwen Yidou-Weng

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#artificial intelligence Preprint Sep 2026

Grab a Coffee: Future-Aware Guidance for Discrete Diffusion with Compiled Objectives

By making objectives available to inference rather than only evaluation, COFFEE brings joint conditioning, completion-weighted guidance, and optimization-based constraints into pretrained neural generation, showing the potential of neural-symbolic methods in diffusion guidance.

Hua-Qiu Xu, Dong-Xin Li, Gwen Yidou-Weng et al. · 0 citations

#artificial intelligence Preprint Aug 2026

Meta-Ctrl: Guaranteed Plan Generation by Decoupling Syntactic and Semantic Constraints

Meta-Ctrl is proposed, a constrained-decoding framework that guarantees the encoded constraints while preserving the base LM's plan quality, and is demonstrated on a real tabletop robot, where every generated plan satisfies its preconditions and goals by construction.

Gwen Yidou-Weng, Edward Sun, Tian-Yi Ma et al. · 0 citations