Author

Cheng-Cheng Wan

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#artificial intelligence May 2026

MELD: Multi-Task Equilibrated Learning Detector for AI-Generated Text

MELD (Multi-Task Equilibrated Learning Detector), which instead trains on class-balanced, family-specific AI-versus-human tasks while sharing a common representation of human writing, and its prediction scores remain stable through 2022 and increase from 2023 onward, coinciding with the widespread adoption of LLM-based...

Chen-Jun Li, Cheng-Cheng Wan, Hao-Miao Chen et al. · arXiv.org · 1 citation

#artificial intelligence Preprint Sep 2026

SRD-GUARD: A Defense Framework of LLMs via Semantic Rewriting and Joint Multi-Model Scoring for Latent Intent Exposure

Results demonstrate that semantic intent exposure, consensus-based risk assessment, and relative-risk-aware routing provide an effective and selective approach to black-box jailbreak defense.

Qi Wang, Cheng-Cheng Wan, Jiang-Tao Wang · 0 citations

#natural language process... Preprint Sep 2026

EarlyEval: Cheaper Agent Evaluation via Early Outcome Prediction

This work introduces early outcome prediction, a complementary axis of efficiency that instead cuts cost within each task within each task, and instantiates EarlyEval, a lightweight framework that trains a pair of LightGBM success and failure classifiers over behavioral, textual, and reference-solution features and hal...

Yu-Ling Shi, Zhensu Sun, Jun-Sen Dong et al. · 4 citations · ⚡1