Author

Shuai Wang

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#artificial intelligence Preprint Oct 2026

CONTRA: Discovering and Qualifying Behavior-Changing Questions for Selective Clarification in LLM Code Generation

Coding agents can generate code that appears correct but implements behavior the user never intended. This mismatch can arise when an agent silently resolves underspecified requirements through its own assumptions. As subsequent development builds on these assumptions, correcting the resulting behavior can become incre...

Zheng Fang, Yong-Ming Li, Yi-Chang Zhang et al. · 0 citations

#natural language process... Preprint Aug 2026

INSPIRE: An Internalize-Then-Improve Approach for Example-Driven Mathematical Reasoning

INSPIRE is an Internalize-Then-Improve approach combining Reference-Guided Student Internalization (RGSI), which produces high-quality preference candidates under the policy model's own distribution, with a stage-wise rubric preference training strategy that decomposes learning into method-oriented and correctness-orie...

Shuai Wang, Jiayi Kuang, Ying-Hui Li et al. · 0 citations