Author

Zhi Jin

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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

#machine learning Preprint Sep 2026

CalibHyper: Chance-Corrected Relational Hypergraphs for Few-Shot Molecular Property Prediction

CalibHyper is proposed, a chance-corrected relational hypergraph method based on the joint label distribution that achieves ROC-AUC competitive with the strongest reported results.

Lin-Yu Li, Zhi Jin, Yuan-Peng He et al. · 0 citations

Preprint Aug 2026

An Interactive Agent for Requirement-Driven Candidate Sourcing

This work argues that finding people from a natural-language description is fundamentally a requirements engineering task: such a request is an under-determined requirement with implicit constraints, many valid answers, and no acceptance criterion, so useful answers require eliciting, validating, and verifying the requ...

Yuan-Peng He, Fang-Chen Li, Xiang-Yu Ru et al. · 0 citations