Shu Yang | Notion

News

🌱 2025.2 Our new preprint “Fraud-R1 : A Multi-Round Benchmark for Assessing the Robustness of LLM Against Augmented Fraud and Phishing Inducements” released https://github.com/kaustpradalab/Fraud-R1/tree/main
🎄2024.11 Our paper “Who Wrote This? The Key to Zero-Shot LLM-Generated Text Detection Is GECScore” was accepted by CoLING 2025
🎄2024.11 Our survey “A Survey on LLM-Generated Text Detection: Necessity, Methods, and Future Directions” was accepted by Computational Linguistics
🎄2024.10 Our paper “DetectEval: Benchmarking LLM-Generated Text Detection in Real-World Scenarios” was accepted by NeurIPS 2024 D&B Track
🌱2024.08 Begin my Ph.D. journey at the PRADA Lab at KAUST, under the supervision of Professor Di Wang.
🎄2024.07 Our paper “Model Autophagy Analysis to Explicate Self-consumption within Human-AI Interactions” was accepted by 1st Conference of Language Modeling 2024
🌱2024.06 I completed my Master's degree at the University of Macau ,under the supervision of Professor Derek Wong.