Author

Ya-Pei Chang

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#artificial intelligence Preprint Sep 2026

PivotOPD: Learning to Recover from Pivotal Mistakes in Multi-Turn Agents

On-policy distillation (OPD) is a promising approach for training language agents, providing dense teacher supervision on student-generated trajectories. However, in multi-turn interaction, an incorrect action changes the states the student encounters later, so errors compound across turns. In preliminary experiments a...

Ying-Hui He, Ya-Pei Chang, Khushi Bhardwaj et al. · 0 citations

#artificial intelligence Review Jun 2026

Argument Collapse: LLMs Flatten Long-Form Public Debate

As LLMs are increasingly used to draft publicfacing arguments, they may flatten public debate by repeatedly introducing the same polished, plausible arguments. We study argument collapse, the tendency of essays generated by different LLMs to converge to a smaller set of main arguments, sub-arguments, and paragraph-leve...

Yekyung Kim, Ya-Pei Chang, Chau Minh Pham et al. · arXiv.org · 0 citations