Author

Xiao-Yang Wang

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#artificial intelligence Preprint Sep 2026

From Trajectories to Grounded Preferences: Process Preference Synthesis via Interaction Element Graphs for Web PRMs

SURFPRM is proposed, a graph-guided process preference synthesis framework for comparative Web PRMs that outperforms baseline-trained models on average on WEBPRMBENCH and rival leading proprietary LLMs, and elevates the GMCP proportion from 24.19% to 74.60%, producing the curated SURFPRM-DATA dataset.

Yang-Zhe Peng, Xiao-Yang Wang, Yi-Yang Zhao et al. · 0 citations

#artificial intelligence Preprint Aug 2026

SPARK: Skeleton-Guided Reasoning Synthesis from Large-Scale Scientific Literature

SPARK (Scientific Paper Abstracted Reasoning sKeleton), a paper-oriented synthesis framework built on Sci-Base, is introduced, a scientific reasoning dataset with substantially higher difficulty and diversity than existing resources and consistently outperforms existing scientific reasoning datasets.

Yu Li, Wei Li, Xin Gao et al. · 0 citations

#artificial intelligence Apr 2026

Scientific Graphics Program Synthesis via Dual Self-Consistency Reinforcement Learning

A novel Dual Self-Consistency Reinforcement Learning optimization paradigm is introduced, which utilizes Round-Trip Verification to penalize degenerate code and boost overall self-consistency in TikZ code.

Juekai Lin, Yun Zhu, Honglin Lin et al. · arXiv.org · 5 citations