Jiahe Liu
Jiahe Liu has 2 papers in our library, in 2026, most of them on Language models & pretraining, Bias, fairness & safety; often with Feilong Tang, Fengli Xu, Jinpeng Hu.
OpenAlex · h-index 1 · 2 works · 1 citations OpenAlex, 2026-10-14
📄 2 works in our library · 🔗 Cited 1 time in our library · ⭐ Paper Stars ranking: #12516
Affiliations
Fields, topics and concepts
📚 Shelves 9The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksComputer Science · 2 worksArts and Humanities · 1 workHealth Informatics · 1 workLanguage and Linguistics · 1 workMedicine · 1 workSafety Research · 1 workSocial Sciences · 1 workComputer Networks and Communications · 1 work
🧭 Topics 2Research subjects and languages the work is about.Bias, fairness & safety · 1 workLanguage models & pretraining · 1 work
Works by year
2020s
Papers
- PsychEthicsBench: Evaluating Large Language Models Against Australian Mental Health Ethics (2026 · 2 citations)
Most safety evaluations of LLMs judge a model by whether it refuses harmful requests. In mental health this is a weak measure. A curt refusal can seem cold, discourage someone from seeking help, or still contain ethically problematic content. Existing medical-ethics benchmarks also tend to assume one shared standard… - Identifying Collective Intelligence Factor in LLM Agent Groups for Generalizable Multi-Agent System Design (2026)
Most work on LLM-based multi-agent systems (MAS) tunes a system for a single task. This paper asks whether agent groups have a task-independent "general ability," similar to the collective intelligence (CI) factor found in human teams. The authors adapt human group-psychology experiments and build 108 LLM agent…
Co-authors here
- Feilong Tang
- Fengli Xu
- Jinpeng Hu
- Xiangyu Zhao
- Yihan Wang
- Yong Li
- Zhilun Zhou
- Zihan Liu
- Zimu Wang
- Zongyuan Ge
Venues
- Findings of the Association for Computational Linguistics ×2: Findings of the Association for Computational Linguistics 2026 ×2
Cited by
Updated
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