🧑‍🔬 Daniel Dajun Zeng

🏛️ Affiliations

🏛️Chinese Academy of SciencesBeijing · China2002–2026 · 390 paperscurrent🔬Institute of AutomationBeijing · China2004–2026 · 315 papersEmploymentcurrent🎓University of Chinese Academy of SciencesBeijing · China2016–2026 · 140 paperscurrent🔬Beijing Academy of Artificial IntelligenceBeijing · China2026 · 1 papercurrent🔬Shandong Institute of AutomationJinan · China2026 · 1 papercurrent🎓University of ArizonaTucson · United States1999–2021 · 292 papersEmployment🔬State Key Laboratory of Complex System Management and ControlBeijing2012–2023 · 28 papers🎓Carnegie Mellon UniversityPittsburgh · United States1999–2007 · 2 papersEducation🎓University of Science and Technology of ChinaHefei · ChinaEducation

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 12 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.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. POSITION BIAS MITIGATES POSITION BIAS: Mitigate Position Bias Through Inter-Position Knowledge Distillation (2025 · 13 citations)
   Long-context LLMs use information unevenly: content near the beginning or end of the input is used reliably, while material placed in the middle is often missed.
2. Entropy Scheduling in Reinforcement Learning for Large Language Models (2026)
   The paper addresses how policy entropy should be handled during reinforcement learning with verifiable rewards (RLVR) for LLMs.

All works

4 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. POSITION BIAS MITIGATES POSITION BIAS: Mitigate Position Bias Through Inter-Position Knowledge DistillationConference on Empirical Methods in Natural Language Processing (EMNLP)Yifei Wang, Feng Xiong, Yong Wang, et al.2025 · 13 citations
2. ViRel: Unsupervised Visual Relations Discovery with Graph-level Analogy ↗arXiv (Cornell University) · no summary yetDaniel Dajun Zeng, Tailin Wu, Jure Leskovec2022 · 2 citations
3. Entropy Scheduling in Reinforcement Learning for Large Language ModelsFindings of the Association for Computational LinguisticsXingjin Wang, Howe Tissue, Lu Wang, et al.2026
4. Reinforcement Learning–Guided Adaptive Tuning for Out-of-Distribution Harmful Text Detection ↗Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetMengyu Xiang et al.2026

🤝 Co-authors here

6 co-authors with a page, the most papers together first.

• Linjing Li ×2
• Feng Xiong
• Lu Wang
• Xiangxiang Chu
• Yifei Wang
• Yong Wang

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

• Conference on Empirical Methods in Natural Language Processing (EMNLP): EMNLP 2025
• Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2026
• Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

🔗 Cited by

Papers of our library cite their works 13 times (of the 149,439 papers whose bibliographies we read); 4 citing papers with a page here →.

Updated 1 November 2026

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