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Jialing Tao

Jialing Tao has 2 papers in our library, in 2026, most of them on Language models & pretraining, Bias, fairness & safety; often with Hui Xue, Jiaqi Weng, Han Qiu.

2 papers in our library · 2026

OpenAlex · h-index 1 · 21 works · 9 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 2 times in our library · ⭐ Paper Stars ranking: #12517

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

🏢Alibaba GroupSan Mateo · United States2025–2026 · 2 paperscurrent🏢Alibaba GroupHangzhou · China2025–2026 · 2 paperscurrent🎓PLA Army Engineering UniversityNanjing · China2026 · 1 papercurrent

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 · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 works

🧭 Topics 2Research subjects and languages the work is about.Bias, fairness & safety · 2 worksLanguage models & pretraining · 2 works

 Works by year

2020s

20262 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. LASA: Language-Agnostic Semantic Alignment at the Semantic Bottleneck for LLM Safety (2026)
    LLMs tend to refuse harmful requests reliably in high-resource languages but are much easier to jailbreak in low-resource ones.

 Co-authors here

11 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 2 times (of the 149,439 papers whose bibliographies we read); 2 citing papers with a page here →.

Updated

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