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Junxiao Yang

Junxiao Yang has 2 papers in our library, in 2024–2026, most of them on Bias, fairness & safety, Language models & pretraining, Reasoning; often with Fei Mi, Hongning Wang, Minlie Huang.

2 papers in our library · 2024–2026

No OpenAlex profile matched yet.

📄 2 works in our library · 🔗 Cited 76 times in our library · ⭐ Paper Stars ranking: #6568

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

 Fields, topics and concepts

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

📚 Shelves 8The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksComputer Science · 2 worksArts and Humanities · 1 workLanguage and Linguistics · 1 workEngineering · 1 workSafety Research · 1 workSafety, Risk, Reliability and Quality · 1 workSocial Sciences · 1 work

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

 Works by year

2020s

20261 paper20241 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Defending Large Language Models Against Jailbreaking Attacks Through Goal Prioritization (2024 · 113 citations)
    The paper argues that jailbreaking attacks on LLMs succeed because models are tuned for two competing objectives, helpfulness and safety, without being told which one wins when they clash.
  2. How Should We Enhance the Safety of Large Reasoning Models: An Empirical Study (2026 · 6 citations)
    Large Reasoning Models (LRMs) are strong at maths and code, but their safety often stays the same or gets worse.

 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 76 times (of the 149,439 papers whose bibliographies we read); 23 citing papers with a page here →.

Updated

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