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Huan-ang Gao

Huan-ang Gao has 2 papers in our library, in 2025–2026, most of them on Language models & pretraining, Efficient models & compression; often with Bingxiang He, Chaojun Xiao, Cheng Qian.

2 papers in our library · 2025–2026

OpenAlex · ORCID · h-index 8 · 30 works · 218 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 91 times in our library · ⭐ Paper Stars ranking: #8549

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

🎓Tsinghua UniversityBeijing · China2023–2026 · 22 paperscurrent

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

 Fields, topics and concepts

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

📚 Shelves 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksComputer Science · 2 worksArts and Humanities · 1 workLanguage and Linguistics · 1 work

🧭 Topics 2Research subjects and languages the work is about.Efficient models & compression · 1 workLanguage models & pretraining · 1 work

 Works by year

2020s

20261 paper20251 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Rethinking On-Policy Distillation of Large Language Models: Phenomenology, Mechanism, and Recipe (2026 · 58 citations)
    On-policy distillation (OPD) is now common in LLM post-training (Qwen3, MiMo, GLM-5). In OPD, a student generates its own rollouts and receives dense per-token feedback from the teacher's log-probabilities. Why OPD sometimes fails has been poorly understood. In one puzzling case, a stronger teacher leaves the student…
  2. A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence (2025 · 36 citations)
    Today's LLMs are essentially frozen once trained. They cannot update their own parameters or behavior when they meet unfamiliar tasks, shifting knowledge, or changing interaction settings, and this becomes a serious limitation when agents work in open, interactive environments. This survey does not introduce new data…

 Co-authors here

12 of 19 co-authors with a page, the most papers together first.

 Cited by

Papers of our library cite their works 91 times (of the 149,439 papers whose bibliographies we read); 20 citing papers with a page here →.

Updated

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