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Tongliang Liu

Tongliang Liu has 2 papers in our library, in 2023–2024, most of them on Language models & pretraining, Bias, fairness & safety; often with Binyuan Hui, Bo Han, Fei Huang.

2 papers in our library · 2023–2024

OpenAlex · ORCID · Wikidata · h-index 60 · 422 works · 12,864 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 174 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #4663

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

🎓The University of SydneySydney · Australia2017–2026 · 348 papersEmploymentcurrent🎓Mohamed bin Zayed University of Artificial IntelligenceAbu Dhabi · United Arab Emirates2023–2026 · 30 paperscurrent🎓University of Technology SydneySydney · Australia2014–2021 · 30 papersEducation🎓The University of MelbourneMelbourne · Australia2021–2026 · 12 papers🏛️Chinese Academy of SciencesBeijing · China2023–2026 · 6 papers🔬RIKENWako · Japan2021–2025 · 5 papers🎓Hong Kong Baptist UniversityHong Kong · Hong Kong2020–2024 · 4 papers🔬Institute of Information EngineeringBeijing · China2023–2026 · 3 papers🔬RIKEN Center for Advanced Intelligence ProjectTokyo · Japan2021–2025 · 3 papers🎓University of Chinese Academy of SciencesBeijing · China2023–2025 · 3 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.

 Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

📚 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.Language models & pretraining · 2 worksBias, fairness & safety · 1 work

 Works by year

2020s

20241 paperOne-Shot Learning as Instruction Data Prospector for Large Language Models20231 paperDeepInception: Hypnotize Large Language Model to Be Jailbreaker

 Papers

The most cited first (OpenAlex and our library).

  1. DeepInception: Hypnotize Large Language Model to Be Jailbreaker (2023 · 138 citations)
    Safety-aligned LLMs can still be manipulated into producing harmful output. However, many existing jailbreaks depend on white-box optimization or expensive prompt search, and models usually refuse requests that state malicious intent openly. The authors propose DeepInception, a training-free, black-box attack…
  2. One-Shot Learning as Instruction Data Prospector for Large Language Models (2024 · 61 citations)
    Instruction tuning datasets keep growing, but larger collections often carry noisy examples, and choosing good subsets usually depends on costly trial-and-error.

All works

3 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. DeepInception: Hypnotize Large Language Model to Be JailbreakerarXiv:2311.03191Xuan Li, Zhanke Zhou, Jianing Zhu, et al.2023 · 138 citations
  2. One-Shot Learning as Instruction Data Prospector for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Yunshui Li, Binyuan Hui, Xiaobo Xia, et al.2024 · 61 citations
  3. MedDCR: Learning to Design Agentic Workflows for Medical CodingFindings of the Association for Computational Linguistics: ACL 2026 · original ↗ · no summary yetJiyang Zheng et al.2026 · 2 citations

 Co-authors here

8 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 174 times (of the 141,840 papers whose bibliographies we read); 9 citing papers with a page here →.

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