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Yipeng Kang

Yipeng Kang has 2 papers in our library, in 2026, most of them on Bias, fairness & safety; often with Demetri Terzopoulos, Fangwei Zhong, Ying Nian Wu.

2 papers in our library · 2026

OpenAlex · ORCID · h-index 2 · 21 works · 28 citations OpenAlex, 2026-10-14

📄 2 works in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #14066

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🏛️Beijing Institute for General Artificial IntelligenceBeijing · China2024–2026 · 8 paperscurrent🔬Beijing Academy of Artificial IntelligenceBeijing · China2024–2026 · 2 paperscurrent🎓Tsinghua UniversityBeijing · China2020–2024 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 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

20262 papers

 Papers

The most cited first (OpenAlex and our library).

  1. 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.
  2. 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

3 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. Simple Role Assignment is Extraordinarily Effective for Safety AlignmentFindings of the Association for Computational LinguisticsZhou Ziheng, Jiakun Ding, Zhaowei Zhang, et al.2026
  2. 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
  3. JurisBench: A Deep Benchmark for Assessing Large Language Models in Professional Legal Practice ↗Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetZiang Chen et al.2026

 Co-authors here

6 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

Updated

This page in Markdown → https://md.research.elamur.ai/free/en/authors/yipeng-kang/