Demetri Terzopoulos
Demetri Terzopoulos has 2 papers in our library, in 2026, most of them on Bias, fairness & safety; often with Fangwei Zhong, Ying Nian Wu, Yipeng Kang.
OpenAlex · ORCID · h-index 78 · 524 works · 51,603 citations OpenAlex, 2026-10-14
📄 2 works in our library · 🔗 Cited 3 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #13509
Affiliations
Fields, topics and concepts
📚 Shelves 8The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksComputer Science · 2 worksArts and Humanities · 1 workCognitive Neuroscience · 1 workLanguage and Linguistics · 1 workNeuroscience · 1 workSocial Sciences · 1 workSociology and Political Science · 1 work
🧭 Topics 1Research subjects and languages the work is about.Bias, fairness & safety · 1 work
Works by year
2020s
Papers
- Simple Role Assignment is Extraordinarily Effective for Safety Alignment (2026)
The paper addresses a weakness of principle-based safety alignment for LLMs: fixed rule lists can never cover every situation and give little guidance on how a value applies in a specific context. - Why Are We Moral? An LLM-based Agent Simulation Approach to the Study of Moral Evolution (2026)
The paper asks why moral behaviour could evolve when natural selection seems to reward self-interest. Classical tools such as evolutionary game theory reduce agents to fixed strategies or payoff tables. As a result, they cannot show how cognition (memory, reasoning, recognising others' dispositions, communicating)…
All works
- Inferring Forces and Learning Human Utilities from Videos ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetYixin Zhu et al.2016 · 79 citations
- Computer Vision – ECCV 2008 ↗Lecture notes in computer science · no summary yetHutchison, David et al.2008 · 36 citations
- Simple Role Assignment is Extraordinarily Effective for Safety AlignmentFindings of the Association for Computational LinguisticsZhou Ziheng, Jiakun Ding, Zhaowei Zhang, et al.2026
- Why Are We Moral? An LLM-based Agent Simulation Approach to the Study of Moral EvolutionAnnual Meeting of the Association for Computational Linguistics (ACL)Zhou Ziheng, Huacong Tang, Mingjie Bi, et al.2026
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
- IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
- Lecture notes in computer science
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