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Qian Dong

Qian Dong has 2 papers in our library, in 2024–2025, most of them on Language models & pretraining; often with Haitao Li, Junjie Chen, Qingyao Ai.

2 papers in our library · 2024–2025

OpenAlex · ORCID · h-index 9 · 51 works · 539 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: #5604

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

🏛️Chinese Academy of SciencesBeijing · China2017–2026 · 15 paperscurrent🔬Institute of SoftwareBeijing · China2020–2026 · 12 paperscurrent🎓Tsinghua UniversityBeijing · China2024–2026 · 2 paperscurrent🎓University of Electronic Science and Technology of ChinaChengdu · China2026 · 2 paperscurrent🎓Jinan UniversityGuangzhou · China2020–2022 · 7 papers🎓Technische Universität DresdenDresden · Germany2010–2013 · 7 papers🎓Xi’an Jiaotong-Liverpool UniversitySuzhou · China2023–2025 · 5 papers🎓Foshan UniversityFoshan · China2017–2025 · 4 papers🔬Computer Network Information CenterBeijing · China2019 · 2 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 7The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksInformation Systems · 1 workSafety Research · 1 workSocial Sciences · 1 work

🧭 Topics 1Research subjects and languages the work is about.Language models & pretraining · 2 works

 Works by year

2020s

20251 paper20241 paper

 Papers

The most cited first (OpenAlex and our library).

  1. LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methods (2024 · 195 citations)
    Open-ended LLM output is hard to evaluate. N-gram metrics such as BLEU and ROUGE miss qualities like fluency, coherence and creativity. Human annotation captures them but is slow and costly at scale. This survey by Li et al. reviews the growing practice of using LLMs themselves as evaluators, called "LLMs-as-judges."
  2. CalibraEval: Calibrating Prediction Distribution to Mitigate Selection Bias in LLMs-as-Judges (2025 · 15 citations)
    LLM judges that compare two candidate answers often change their verdict when the answers are reordered or their labels (e.g., A/B) are swapped.

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. LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation MethodsarXiv:2412.05579Haitao Li, Qian Dong, Junjie Chen, et al.2024 · 195 citations
  2. CalibraEval: Calibrating Prediction Distribution to Mitigate Selection Bias in LLMs-as-JudgesAnnual Meeting of the Association for Computational Linguistics (ACL)Haitao Li, Junjie Chen, Qingyao Ai, et al.2025 · 15 citations
  3. LegalOne: A Family of Foundation Models for Reliable Legal Reasoning ↗arXiv:2602.00642 · no summary yetHaitao Li et al.2026 · 6 citations

 Co-authors here

6 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 149,439 papers whose bibliographies we read); 47 citing papers with a page here →.

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