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Han Qiu

Han Qiu has 3 papers in our library, in 2025–2026, most of them on Language models & pretraining, Bias, fairness & safety; often with Minlie Huang, Tianwei Zhang, Di Wang.

3 papers in our library · 2025–2026

OpenAlex · ORCID · Wikidata · h-index 28 · 201 works · 3,502 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 83 times in our library · 3 more in our library without a page yet · ⭐ Paper Stars ranking: #10202

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

🎓Tsinghua UniversityBeijing · China2021–2026 · 94 papersEmploymentcurrent🏢Matrix ResearchDayton · United States2026 · 2 paperscurrent🎓Télécom ParisPalaiseau · France2014–2021 · 30 papers🔬Laboratoire Traitement et Communication de l’InformationPalaiseau · France2014–2021 · 18 papers🎓ParisTechParis · France2015–2020 · 18 papers🔬Beijing National Research Center for Information Science and TechnologyBeijing · China2021–2025 · 10 papers🎓Institut Polytechnique de ParisPalaiseau · France2020 · 8 papers🔬Centre National de la Recherche ScientifiqueParis · France2014–2015 · 4 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 4 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 · 3 worksArts and Humanities · 3 worksComputer Science · 3 worksLanguage and Linguistics · 3 works

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

 Works by year

2020s

20262 papers20251 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Understanding the Dark Side of LLMs' Intrinsic Self-Correction (2025 · 21 citations)
    The paper investigates why intrinsic self-correction often makes large language models worse. In this setting, a model is asked to reconsider its answer with no external feedback or oracle labels. The authors apply feedback and refinement prompts to every response, including correct ones. They test ChatGPT (o1, 4o…
  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.
  3. LeakDojo: Decoding the Leakage Threats of RAG Systems (2026)
    RAG systems pair LLMs with curated knowledge bases that are expensive to build. This makes them targets for leakage attacks, where an attacker with only black-box access tries to pull out as many stored chunks as possible. Earlier attack papers used different RAG setups and query budgets, so their results cannot be…

All works

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

  1. The Earth is Flat because...: Investigating LLMs' Belief towards Misinformation via Persuasive Conversation ↗arXiv:2312.09085 · no summary yetRongwu Xu et al.2023 · 56 citations
  2. Interpreting Deep Learning Models in Natural Language Processing: A Review ↗arXiv (Cornell University) · no summary yetXiaofei Sun et al.2021 · 38 citations
  3. Understanding the Dark Side of LLMs' Intrinsic Self-CorrectionAnnual Meeting of the Association for Computational Linguistics (ACL)Qingjie Zhang, Di Wang, Haoting Qian, et al.2025 · 21 citations
  4. LASA: Language-Agnostic Semantic Alignment at the Semantic Bottleneck for LLM SafetyAnnual Meeting of the Association for Computational Linguistics (ACL)Junxiao Yang, Haoran Liu, Jinzhe Tu, et al.2026
  5. LeakDojo: Decoding the Leakage Threats of RAG SystemsFindings of the Association for Computational LinguisticsMaosen Zhang, Jianshuo Dong, Lu Boting, et al.2026
  6. TOXIFRENCH: Benchmarking and Enhancing Language Models via CoT Fine-Tuning for French Toxicity Detection ↗Findings of the Association for Computational Linguistics: ACL 2026 · no summary yetAxel Delaval et al.2026

 Co-authors here

12 of 13 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 83 times (of the 149,439 papers whose bibliographies we read); 22 citing papers with a page here →.

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