Author

Keyu Zhao

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#artificial intelligence May 2026

OptSkills: Learning Generalizable Optimization Skills from Problem Archetypes via Cluster-Based Distillation

This work proposes OptSkills, an archetype-centric skill learning and reasoning agent system for optimization modeling and solving that achieves a state-of-the-art micro-averaged accuracy of 68.27% on datasets encompassing diverse problem types and scenarios.

Haochen Yang, Keyu Zhao, Mengyuan Ma et al. · arXiv.org · 2 citations · ⚡1

#artificial intelligence Preprint Aug 2026

Ideation Arena: Evaluating LLM Generated Research Ideas with Battle-style Human Expert Assessment

This work introduces Ideation Arena, a battle style platform that evaluates research ideas through pairwise human assessment, and constructs Ideation Arena Eval, a benchmark for assessing whether automated evaluators align with human preferences in research ideation.

Zhi-Yu Chen, Keyu Zhao, Ji-Gao Fu et al. · 0 citations

Review Open access Aug 2026

Reinforcement Learning in the Era of Large Language Models: Challenges and Opportunities

A systematic literature review on how RL are adapted and scaled as a fundamental post-training tools and how innovations in the RL pipeline enhance the domain-specific LLMs is conducted.

Qianyue Hao, Lin Chen, Xiao-Qian Qi et al. · ACM Computing Surveys · 1 citation