Cheng Liu
Cheng Liu has 2 papers in our library, in 2025–2026, most of them on Language models & pretraining, Bias, fairness & safety; often with Bang Zhang, Jia Li, Jiaqi Chen.
OpenAlex · ORCID · h-index 31 · 87 works · 3,738 citations OpenAlex, 2026-10-14
📄 2 works in our library · 🔗 Cited 22 times in our library · ⭐ Paper Stars ranking: #8685
Affiliations
🔬Institut de Ciència de Materials de BarcelonaCerdanyola del Vallès ·
Spain2022–2026 · 7 papers🏛️Consejo Superior de Investigaciones CientíficasMadrid ·
Spain2025–2026 · 2 papers🎓Central South UniversityChangsha ·
China2011–2024 · 26 papers🎓Tianjin UniversityTianjin ·
China2016–2022 · 12 papers🔬State Key Laboratory of Powder MetallurgyChangsha2019–2021 · 10 papers🎓Zhejiang Sci-Tech UniversityHangzhou ·
China2022–2024 · 6 papers🎓Soochow UniversitySuzhou ·
China2021–2025 · 4 papers🎓Huaiyin Normal UniversityHuai'an ·
China2022–2025 · 3 papers🔬Jiangsu Key Laboratory for Chemistry of Low-Dimensional MaterialsHuai'an ·
China2022–2025 · 3 papers🎓Tsinghua Shenzhen International Graduate SchoolShenzhen ·
China2017–2020 · 2 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.Language models & pretraining · 1 workBias, fairness & safety · 1 work
Works by year
2020s
Papers
- S²R: Teaching LLMs to Self-verify and Self-correct via Reinforcement Learning (2025 · 26 citations)
S$^2$R targets a practical gap. Methods that give LLMs o1-style "deep thinking" usually need huge datasets, heavy compute, or distillation from much stronger models, and it is unclear how to help weaker base models reason better. The authors treat reasoning as a sequence of alternating "solve" and "verify" actions.… - TrajGuard: Streaming Hidden-state Trajectory Detection for Decoding-time Jailbreak Defense (2026)
Most jailbreak defenses judge a prompt, an output, or a single internal state in isolation. This misses how risk builds up while a response is being generated. The authors compare prompt representations with decoding-time hidden states across several models. They find that jailbreak prompts stay mixed in with benign…
Co-authors here
Venues
- Annual Meeting of the Association for Computational Linguistics (ACL): ACL 2025
- Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2026
Cited by
Updated
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