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Author

Jun-Cheng Dong

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Preprint Oct 2026

PerSPL: Personalized Semi-supervised Preference Learning

Personalized reward models require user-specific preference comparisons, but collecting such feedback is costly and provides only limited supervision for each user. At the same time, large pools of responses can be generated without user identities or preference labels, yet existing personalized reward models leave thi...

Xiao-An Xu, Ting-Han Wei, Jun-Cheng Dong et al. · 0 citations
#reinforcement learning Book Open access Aug 2026

LLM Reasoning for Subjective Tasks: Failure Modes, Mitigation, and Dynamic Reasoning Routing

This work introduces a conditional length-penalized post-training algorithm that intertwines verification accuracy with bounded reasoning length, halting collapse and recovering performance, and offers both a scalable algorithmic patch and a long-term architectural blueprint for aligning reasoning models with real-worl...

Jun-Cheng Dong, Ding Tong, Ishan Gupta et al. · 0 citations

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