Cheng Wang
Cheng Wang has 2 papers in our library, in 2026, most of them on Interpretability, Bias, fairness & safety; often with Muhao Chen, Qin Liu, Wenxuan Zhou.
OpenAlex · ORCID · h-index 28 · 212 works · 2,986 citations OpenAlex, 2026-10-14
📄 2 works in our library · 🔗 Cited 5 times in our library · ⭐ Paper Stars ranking: #10535
Affiliations
🎓Tongji UniversityShanghai ·
China2007–2026 · 98 papers🔬Shanghai Artificial Intelligence LaboratoryShanghai ·
China2022–2026 · 10 papers🎓Chinese University of Hong KongHong Kong ·
China2025–2026 · 2 papers🎓Huaqiao UniversityXiamen ·
China2018–2022 · 9 papers🎓Xiamen UniversityXiamen ·
China2022–2025 · 8 papers🎓Pennsylvania State UniversityState College ·
United States2014–2017 · 5 papers🎓Henan UniversityKaifeng ·
China2023–2024 · 4 papers🏛️Ministry of Education of the People's Republic of ChinaBeijing ·
China2022–2024 · 4 papers🎓Hebei GEO UniversityShijiazhuang ·
China2011–2012 · 4 papers🎓Shaanxi University of Science and TechnologyXi'an ·
China2012–2025 · 3 papers
Fields, topics and concepts
📚 Shelves 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 works
🧭 Topics 2Research subjects and languages the work is about.Bias, fairness & safety · 1 workInterpretability · 1 work
Works by year
2020s
Papers
- False Sense of Security: Why Probing-based Malicious Input Detection Fails to Generalize (2026 · 5 citations)
The paper asks whether lightweight probes trained on LLM hidden states actually detect harmful intent, or only appear to. - Taming Extreme Tokens: Covariance-Aware GRPO with Gaussian-Kernel Advantage Reweighting (2026)
GRPO is widely used to strengthen LLM reasoning, but it has trouble balancing exploration and exploitation, and its policy entropy becomes unstable during training.
Co-authors here
Venues
- Annual Meeting of the Association for Computational Linguistics (ACL): ACL 2026
- Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2026
Cited by
Updated
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