Elamur Research⌕
☰
home / authors / Zhixuan Chu

Zhixuan Chu

Zhixuan Chu has 3 papers in our library, in 2026, most of them on Language models & pretraining, Bias, fairness & safety; often with Hui Xue, Haiwen Hong, Hao Zhu.

3 papers in our library · 2026

OpenAlex · ORCID · Wikidata · h-index 12 · 99 works · 923 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 10 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #10859

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 · China2024–2026 · 42 papersEmploymentcurrent🏢Ant GroupHangzhou · China2022–2024 · 26 papers🎓University of GeorgiaAthens · United States2020–2023 · 7 papers🎓University of VirginiaCharlottesville · United States2023 · 5 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 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 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 3 worksArts and Humanities · 3 worksComputer Science · 3 worksLanguage and Linguistics · 3 works

🧭 Topics 2Research subjects and languages the work is about.Language models & pretraining · 3 worksBias, fairness & safety · 1 work

 Works by year

2020s

20263 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Safe-SAIL: Towards a Fine-grained Safety Landscape of Large Language Models via Sparse Autoencoder Interpretation Framework (2026 · 2 citations)
    Sparse autoencoders (SAEs) can split a model's tangled activations into interpretable features. However, safety concepts are rare in typical data, and it is unclear which SAE setups produce fine-grained safety features. Explaining every feature is also expensive. Safe-SAIL is a three-stage pipeline (SAE training…
  2. Why Steering Works: Toward a Unified View of Language Model Parameter Dynamics (2026 · 1 citation)
    Methods for controlling LLM behaviour are usually studied separately, with different assumptions and evaluation setups.
  3. Perplexity-Aware Data Scaling Law: Perplexity Landscapes Predict Performance for Continual Pre-training (2026)
    Continual pre-training (CPT) adapts general LLMs to specialised domains such as medicine. Simply adding more domain tokens quickly stops paying off, because classical scaling laws treat every token as equally useful. This paper proposes a perplexity-aware data scaling law. The frozen base model runs one forward pass…

All works

4 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

  1. Intelligent Agents with LLM-based Process Automation ↗ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · no summary yetYanchu Guan et al.2024 · 60 citations
  2. Safe-SAIL: Towards a Fine-grained Safety Landscape of Large Language Models via Sparse Autoencoder Interpretation FrameworkFindings of the Association for Computational LinguisticsJiaqi Weng, Han Zheng, Hanyu Zhang, et al.2026 · 2 citations
  3. Why Steering Works: Toward a Unified View of Language Model Parameter DynamicsAnnual Meeting of the Association for Computational Linguistics (ACL)Ziwen Xu, Chenyan WU, Hengyu Sun, et al.2026 · 1 citation
  4. Perplexity-Aware Data Scaling Law: Perplexity Landscapes Predict Performance for Continual Pre-trainingAnnual Meeting of the Association for Computational Linguistics (ACL)Lei Liu, Hao Zhu, Xiaoyan Yang, et al.2026

 Co-authors here

12 of 16 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 10 times (of the 149,439 papers whose bibliographies we read); 5 citing papers with a page here →.

Updated

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/authors/zhixuan-chu/