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Xiting Wang

Xiting Wang has 2 papers in our library, in 2026, most of them on Language models & pretraining, Bias, fairness & safety; often with Hui Xue, Jiahuan Li, Jingang Wang.

2 papers in our library · 2026

OpenAlex · ORCID · h-index 22 · 76 works · 2,174 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 6 times in our library · ⭐ Paper Stars ranking: #10457

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

🎓Beijing University of Chinese MedicineBeijing · China2017–2026 · 16 paperscurrent🎓Renmin University of ChinaBeijing · China2023–2026 · 8 paperscurrent🏢Microsoft Research AsiaBeijing · China2017–2023 · 17 papers🔬Academy of Mathematics and Systems ScienceBeijing · China2023–2024 · 5 papers🏛️Chinese Academy of SciencesBeijing · China2023–2024 · 5 papers🎓Tsinghua UniversityBeijing · China2013–2017 · 4 papers🎓Lanzhou UniversityLanzhou · China2024 · 2 papers🎓Luoyang Normal UniversityLuoyang · China2024 · 2 papers🎓Hunan UniversityChangsha · China2023 · 2 papers🎓Jiangsu UniversityZhenjiang · China2016–2018 · 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 worksComputer Vision and Pattern Recognition · 1 work

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

 Works by year

2020s

20262 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Unlocking Implicit Experience: Synthesizing Tool-Use Trajectories from Text (2026 · 4 citations)
    Training LLM agents for multi-turn tool use is limited by a shortage of realistic trajectories. Most existing synthesis methods start from a fixed API collection, so the data can only be as broad as that collection. The authors invert this approach. They argue that ordinary web text, such as how-to guides and…
  2. 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…

 Co-authors here

6 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 6 times (of the 149,439 papers whose bibliographies we read); 3 citing papers with a page here →.

Updated

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