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Huajun Chen

Huajun Chen has 2 papers in our library, in 2022–2024, most of them on Language models & pretraining, Reasoning, Bias, fairness & safety; often with Ningyu Zhang, Shumin Deng, Yunzhi Yao.

2 papers in our library · 2022–2024

OpenAlex · ORCID · Wikidata · h-index 51 · 397 works · 8,765 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 460 times in our library · 16 more in our library without a page yet · ⭐ Paper Stars ranking: #4447

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

🎓Zhejiang UniversityHangzhou · China2003–2026 · 316 papersEmployment · Prof., College of Computer Sciencecurrent🏢Ant GroupHangzhou · China2023–2026 · 35 paperscurrent🎓Nanjing UniversityNanjing · China2025–2026 · 2 paperscurrent🎓Fujian Medical UniversityFuzhou · China2026 · 1 papercurrent🏥Union HospitalFuzhou · China2026 · 1 papercurrent🎓University of Electronic Science and Technology of ChinaChengdu · China2026 · 1 papercurrent🏢Alibaba GroupHangzhou · China2018–2025 · 34 papers🎓National University of SingaporeSingapore · Singapore2023–2025 · 8 papers🎓South China University of TechnologyGuangzhou · China2024–2025 · 4 papers🏢China Southern Power GridGuangzhou · China2018–2019 · 4 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 19 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 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 3Research subjects and languages the work is about.Language models & pretraining · 2 worksReasoning · 1 workBias, fairness & safety · 1 work

 Works by year

2020s

20241 paperDetoxifying Large Language Models via Knowledge Editing20221 paperReasoning with Language Model Prompting: A Survey

 Papers

The most cited first (OpenAlex and our library).

  1. Reasoning with Language Model Prompting: A Survey (2022 · 161 citations)
    This survey maps the fast-growing work on getting large language models to reason through prompting rather than through task-specific architectures.
  2. Detoxifying Large Language Models via Knowledge Editing (2024 · 84 citations)
    Safety-aligned LLMs can still be steered into harmful output when a malicious request is wrapped in a carefully engineered jailbreak prompt. The authors ask whether knowledge editing can fix the specific toxic parts of a model instead of only masking them.

All works

18 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. Reasoning with Language Model Prompting: A SurveyShuofei Qiao, Yixin Ou, Ningyu Zhang, et al.arXiv:2212.09597 · 161 citations
  2. Scientific Large Language Models: A Survey on Biological & Chemical Domains · original ↗ · no summary yet · arXiv:2401.14656Qiang Zhang et al.2024 · 154 citations
  3. ReSearch: Learning to Reason with Search for LLMs via Reinforcement Learning · original ↗ · no summary yet · arXiv:2503.19470Mingyang Chen et al.2025 · 95 citations
  4. Detoxifying Large Language Models via Knowledge EditingMengru Wang, Ningyu Zhang, Ziwen Xu, et al.Annual Meeting of the Association for Computational Linguistics (ACL) · 84 citations
  5. Large Knowledge Model: Perspectives and Challenges · original ↗ · no summary yet · arXiv:2312.02706Huajun Chen2023 · 71 citations
  6. LightThinker: Thinking Step-by-Step Compression · original ↗ · no summary yet · Proceedings of the 2025 Conference on Empirical Methods in Natural Language…Jintian Zhang et al.2025 · 50 citations
  7. DeepSeek: Paradigm Shifts and Technical Evolution in Large AI Models · original ↗ · no summary yet · arXiv:2507.09955Luolin Xiong et al.2025 · 41 citations
  8. Symbolic Learning Enables Self-Evolving Agents · original ↗ · no summary yet · arXiv:2406.18532Wangchunshu Zhou et al.2024 · 32 citations
  9. OmniThink: Expanding Knowledge Boundaries in Machine Writing through Thinking · original ↗ · no summary yet · Proceedings of the 2025 Conference on Empirical Methods in Natural Language…Zekun Xi et al.2025 · 14 citations
  10. RTQA : Recursive Thinking for Complex Temporal Knowledge Graph Question Answering with Large Language Models · original ↗ · no summary yet · Proceedings of the 2025 Conference on Empirical Methods in Natural Language…Zhaoyan Gong et al.2025 · 9 citations
  11. Temp-R1: A Unified Autonomous Agent for Complex Temporal KGQA via Reverse Curriculum Reinforcement Learning · original ↗ · no summary yet · Proceedings of the 64th Annual Meeting of the Association for Computational…Zhaoyan Gong et al.2026 · 4 citations
  12. Can We Predict Before Executing Machine Learning Agents? · original ↗ · no summary yet · Proceedings of the 64th Annual Meeting of the Association for Computational…Jingsheng Zheng et al.2026 · 2 citations
  13. Why Steering Works: Toward a Unified View of Language Model Parameter Dynamics · original ↗ · no summary yet · Proceedings of the 64th Annual Meeting of the Association for Computational…Ziwen Xu et al.2026 · 1 citation
  14. Structured and Abstractive Reasoning on Multi-modal Relational Knowledge Images · original ↗ · no summary yet · Findings of the Association for Computational Linguistics: ACL 2026Yichi Zhang et al.2026 · 1 citation
  15. How Controllable Are Large Language Models? A Unified Evaluation across Behavioral Granularities · original ↗ · no summary yet · Proceedings of the 64th Annual Meeting of the Association for Computational…Ziwen Xu et al.2026
  16. Illusions of Confidence? Diagnosing LLM Truthfulness via Neighborhood Consistency · original ↗ · no summary yet · Proceedings of the 64th Annual Meeting of the Association for Computational…Haoming Xu et al.2026
  17. MolSafeEval: A Benchmark for Uncovering Safety Risks in AI-Generated Molecules · original ↗ · no summary yet · Findings of the Association for Computational Linguistics: ACL 2026Tong Xu et al.2026
  18. Know the Known and the Unknown: Reasonable Answer Generation with Knowledge-Informed Citations · original ↗ · no summary yet · Proceedings of the 64th Annual Meeting of the Association for Computational…Yichi Zhang et al.2026

 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 460 times (of the 141,840 papers whose bibliographies we read); 19 citing papers with a page here →.

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