Hao Liao
Hao Liao has 2 papers in our library, in 2026, most of them on Language models & pretraining, Bias, fairness & safety; often with Haiming Qin, Jianxun Lian, Mingyang Zhou.
OpenAlex · ORCID · Wikidata · h-index 1 · 12 works · 3 citations OpenAlex, 2026-10-14
📄 2 works in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #11527
Affiliations
Fields, topics and concepts
📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksComputer Science · 2 worksSafety Research · 1 workSocial Sciences · 1 workArts and Humanities · 1 workLanguage and Linguistics · 1 work
🧭 Topics 2Research subjects and languages the work is about.Language models & pretraining · 2 worksBias, fairness & safety · 1 work
Works by year
2020s
Papers
- Knowing-but-Doing: Diagnosing and Defending Role-Play-Driven LLMs Jailbreaks via Moral Disengagement (2026 · 1 citation)
The paper examines why LLMs drift into unsafe behaviour when asked to act out characters. The authors frame this with Bandura's Moral Disengagement theory and build MD-Trace, a diagnostic benchmark. It combines 80 personas from the Moral RolePlay dataset, split evenly across four moral levels from paragons to… - PersonaArena: Dynamic Simulation for Evaluating and Enhancing Persona-Level Role-Playing in Large Language Models (2026)
PersonaArena targets a gap in how LLM role-playing is studied. Most prior work tests famous fictional characters or celebrities, which models may simply recall from training data. It also relies on static formats such as Q&A probes or BLEU-style metrics. This paper instead examines persona-level role-play: portraying…
All works
- Knowing-but-Doing: Diagnosing and Defending Role-Play-Driven LLMs Jailbreaks via Moral DisengagementFindings of the Association for Computational LinguisticsHaiming Qin, Jianxun Lian, Qimin Zhong, et al.2026 · 1 citation
- PersonaArena: Dynamic Simulation for Evaluating and Enhancing Persona-Level Role-Playing in Large Language ModelsFindings of the Association for Computational LinguisticsWenlong Shi, Jianxun Lian, Mingqi Wu, et al.2026
- Let Retrievers Think Before Action: Thought-Augmented Embedding for Dense Retrieval ↗Findings of the Association for Computational Linguistics: ACL 2026 · no summary yetRuiran Yan et al.2026
- Toward Consistent World Models with Multi-Token Prediction and Latent Semantic Enhancement ↗Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetQimin Zhong et al.2026
Co-authors here
Venues
- Findings of the Association for Computational Linguistics ×2: Findings of the Association for Computational Linguistics 2026 ×2
- Findings of the Association for Computational Linguistics: ACL 2026
- Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Updated
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