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Ao Liu

Ao Liu has 3 papers in our library, in 2025–2026, most of them on Language models & pretraining, Reasoning, English; often with Botong Zhou, Can Xu, Chayse Zhou.

3 papers in our library · 2025–2026

OpenAlex · ORCID · h-index 6 · 33 works · 456 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 11 times in our library · ⭐ Paper Stars ranking: #9746

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

🎓Zhejiang UniversityHangzhou · China2021–2026 · 4 paperscurrent🎓China University of Geosciences (Beijing)Beijing · China2023–2026 · 3 paperscurrent🎓China University of GeosciencesWuhan · China2025–2026 · 2 paperscurrent🏢GeelyHangzhou · China2026 · 1 papercurrent🎓Hunan University of Technology and BusinessChangsha · China2026 · 1 papercurrent🎓Beijing University of TechnologyBeijing · China2023–2025 · 7 papers🎓Changsha University of Science and TechnologyChangsha · China2023–2024 · 2 papers🎓Hubei University of TechnologyWuhan · China2022–2024 · 2 papers🏢TencentShenzhen · China2023–2024 · 2 papers🎓Wuhan University of TechnologyWuhan · China2023 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 7 more institutions on single bylines are not listed.

 Fields, topics and concepts

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

📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 3 worksComputer Science · 2 worksLanguage and Linguistics · 3 worksArtificial Intelligence · 2 worksComputer Vision and Pattern Recognition · 2 worksLiterature and Literary Theory · 1 work

🧭 Topics 3Research subjects and languages the work is about.Language models & pretraining · 1 workReasoning · 1 workEnglish · 1 work

 Works by year

2020s

20262 papers20251 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Hunyuan-TurboS: Advancing Large Language Models through Mamba-Transformer Synergy and Adaptive Chain-of-Thought (2025 · 10 citations)
    Hunyuan-TurboS tackles the tension between strong LLM quality and inference cost, especially for long inputs and reasoning-heavy requests.
  2. Hunyuan-A13B Technical Report (2026 · 1 citation)
    Serving frontier LLMs is costly because dense models use every weight for every token. Tencent's Hunyuan team addresses this with Hunyuan-A13B, an openly released sparse Mixture-of-Experts model. It has 80B parameters in total, but only about 13B are active per token: one always-on shared expert plus 8 of 64…
  3. The Cost of Perfect English: Pragmatic Flattening and the Erasure of Authorial Voice in L2 Writing Supported by GenAI (2026)
    The paper asks what is lost when L2 English learners let large language models "polish" their essays. The authors took 106 argumentative essays by B2-level Chinese students from ICNALE, covering Mainland China, Hong Kong and Taiwan and split evenly between two prompts. Each essay was rewritten by four commercial LLMs…

 Co-authors here

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

 Cited by

Papers of our library cite their works 11 times (of the 149,439 papers whose bibliographies we read); 4 citing papers with a page here →.

Updated

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