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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.

2 papers in our library · 2026

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

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

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.

 Works by year

2020s

 Papers

The most cited first (OpenAlex and our library).

  1. 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…
  2. 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

10 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.

 Cited by

Papers of our library cite their works 1 time (of the 149,439 papers whose bibliographies we read); 1 citing paper with a page here →.

Updated

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