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Lang Gao

Lang Gao has 2 papers in our library, in 2025–2026, most of them on Language models & pretraining, Bias, fairness & safety, Speech & spoken language; often with Xiuying Chen, Jiahui Geng, Preslav Nakov.

2 papers in our library · 2025–2026

OpenAlex · ORCID · h-index 3 · 18 works · 22 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 16 times in our library · ⭐ Paper Stars ranking: #8948

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

🎓Qinghai UniversityXining · China2025–2026 · 6 paperscurrent🏥Nanfang HospitalGuangzhou · China2025 · 5 papers🎓Donghua UniversityShanghai · China2025 · 2 papers🎓Mohamed bin Zayed University of Artificial IntelligenceAbu Dhabi · United Arab Emirates2025 · 2 papers🎓North University of ChinaTaiyuan · China2025 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 6 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 4Research subjects and languages the work is about.Bias, fairness & safety · 2 worksLanguage models & pretraining · 2 worksEvaluation & benchmarks · 1 workSpeech & spoken language · 1 work

 Works by year

2020s

20261 paper20251 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Shaping the Safety Boundaries: Understanding and Defending Against Jailbreaks in Large Language Models (2025 · 19 citations)
    The paper asks how jailbreak prompts get past an LLM's safety alignment. Earlier interpretability studies disagreed on which layers matter and on how malicious activations evolve. The authors argue those conflicts come from small samples, often around 100 prompts. They analyze last-token activations for more than…
  2. Audio Jailbreak: An Open Comprehensive Benchmark for Jailbreaking Large Audio-Language Models (2026 · 3 citations)
    Large Audio-Language Models (LAMs) can be pushed into producing harmful content, yet their safety has rarely been measured systematically.

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

Updated

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