Author

Yu-Yang Deng

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#artificial intelligence Preprint Oct 2026

When Algorithmic Exploration Becomes Cheap: A Case Study of Agentic Research in EDA

As EDA researchers, we conducted eight deliberate trials of agentic algorithm exploration, selecting several topics outside our areas of depth. One faculty member and seven students participated, including students without publication experience. With limited intervention in the algorithms, agents developed mathematica...

Ke-Ren Zhu, Yu-Yang Deng, Xiao-Yu Hao et al. · 0 citations

#artificial intelligence Preprint Sep 2026

Direct Self-Evolving Optimization: Evolving LLMs without Challenger Training

Self-evolving language models improve by generating tasks and learning from their own feedback, but adapting the task generator often requires a separate challenger-training loop. Can we generate tasks adapted to the current solver without explicitly training a challenger? We introduce \textbf{D}irect Self-\textbf{E}vo...

Yu-Yang Deng, Yu Wang, Jia-Yun Wang · 0 citations