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Zhixuan Liu

Zhixuan Liu has 2 papers in our library, in 2024–2026, most of them on Language models & pretraining, Bias, fairness & safety; often with Chao Yang, Zhichen Dong, Hao Zhang.

2 papers in our library · 2024–2026

OpenAlex · ORCID · h-index 6 · 23 works · 119 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 17 times in our library · ⭐ Paper Stars ranking: #10532

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

🎓Southwest Minzu UniversityChengdu · China2024–2025 · 3 paperscurrent🏥First Affiliated Hospital of GuangXi Medical UniversityNanning · China2025 · 2 paperscurrent🎓Qingdao UniversityQingdao · China2025 · 1 papercurrent🏥Qingdao Women and Children's HospitalQingdao · China2025 · 1 papercurrent🎓South China Agricultural UniversityGuangzhou · China2024 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 11 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 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksInformation Systems · 1 work

🧭 Topics 2Research subjects and languages the work is about.Language models & pretraining · 1 workBias, fairness & safety · 1 work

 Works by year

2020s

20261 paper20241 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Weak-to-Strong Search: Align Large Language Models via Searching over Small Language Models (2024 · 17 citations)
    Aligning very large language models with human preferences through fine-tuning is costly and hard to engineer.
  2. Adaptive Prompt Optimization for Open-Ended Tasks: Uncertainty Preference as a Secondary Signal (2026)
    Training-free prompt optimizers usually rank candidate prompts by a single quality score. This ignores that tasks differ in how much output variability they want. Safety and factual tasks benefit from stable, predictable answers, while creative tasks benefit from diversity. The authors first test this idea with…

 Co-authors here

7 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 17 times (of the 149,439 papers whose bibliographies we read); 5 citing papers with a page here →.

Updated

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