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Bo-Tian Shi

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#machine learning Preprint Oct 2026

Rethinking Relative Policy Differences Transfer of On-Policy Distillation

On-policy distillation (OPD) trains a target policy on its own rollouts using token-level supervision from a stronger teacher, but typically relies on the teacher being substantially more capable than the target. Recent work relaxes this requirement by transferring the relative policy difference between an expert and a...

Rong Wu, Dao-Cheng Fu, Yu Yang et al. · 0 citations
Preprint Jul 2026

Proxy OPD: On-Policy Distillation with Transferable Relative Proxy Update

Proxy OPD is introduced, an asynchronous post-training framework that transfers reward-induced policy improvements rather than absolute policy distributions and establishes relative policy updates as highly reusable, adjustable assets for scalable, reward-based post-training.

Daocheng Fu, Rong Wu, Yu Yang et al. · 0 citations

IterCAD: An Iterative Multimodal Agent for Visually-Grounded CAD Generation and Editing

This paper presents IterCAD, a unified multimodal agent framework for closed-loop, interactive CAD generation and editing, and introduces the IterCAD-Bench evaluation suite, establishing a survivor-bias-free standard that unifies code validity and geometric precision.

Tao Hu, Jiaxin Ai, Licheng Wen et al. · 8 citations
Jul 2026

IndustryForge-27B: A Domain-Enhanced Multimodal Foundation Model for Industrial CAD

IndustryForge-27B will serve as the common substrate for downstream industrial-agent projects, providing a unified starting point for a full-stack industrial agent that spans from CAD design to industrial-software operation, from parts to assemblies, and from single-shot generation to closed-loop self-improvement.

Nianchen Deng, Jiaxin Ai, Tao Hu et al. · 0 citations
Preprint Aug 2026

Quo Vadis, World Modeling?

This work conceptualize Agent-Centric Interactive World Proxies, shifting the fundamental paradigm from physical state transitions to agent-usable information transitions, such as execution outcomes, retrieved experiences or skills, and verification signals, broadening the scope of world modeling to provide versatile f...

Yu Yang, Xuemeng Yang, Licheng Wen et al. · 0 citations
Preprint Jul 2026

ASSEMCAD: Production-Ready CAD Assembly Generation from Natural Language

AssemCAD is presented, an axiom-grounded framework for production-ready CAD assembly generation from natural language that extends Text-to-CAD from isolated part generation toward production-ready mechanical assembly design.

Yurui Dong, Shu Zou, Siqi Li et al. · 0 citations
Conference Open access 2026

Towards Self-Evolving Agents: Enabling Autonomy through Interactive Experience Refinement

MUSE is a framework that enables iterative self-improvement through a hierarchical Memory Module that organizes cross-domain insights to facilitate the orchestration of long-horizon workflows and demonstrates that MUSE’s performance scales with the accumulation of insights and exhibits strong cross-task transferability...

Cheng Yang, Xuemeng Yang, Licheng Wen et al. · 2 citations · ⚡1

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