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Qing Zong

Qing Zong has 2 papers in our library, in 2025–2026, most of them on Language models & pretraining, Reasoning, Vision & language; often with Jiayu Liu, Yangqiu Song, Baixuan Xu.

2 papers in our library · 2025–2026

OpenAlex · h-index 2 · 24 works · 14 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 9 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #9958

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

🎓Hong Kong University of Science and TechnologyHong Kong · China2024–2026 · 17 paperscurrent🏢Huawei TechnologiesShenzhen · China2026 · 1 papercurrent🎓Harbin Institute of TechnologyHarbin · China2023 · 2 papers

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

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 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 · 1 workReasoning · 1 workVision & language · 1 work

 Works by year

2020s

20261 paper20251 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Revisiting Epistemic Markers in Confidence Estimation: Can Markers Accurately Reflect Large Language Models' Uncertainty? (2025 · 8 citations)
    The paper asks whether large language models use verbal epistemic markers, such as "fairly certain," in a way that consistently tracks how often they are actually right.
  2. DIXITWORLD: Evaluating Multimodal Abductive Reasoning in Vision-Language Models with Multi-Agent Dixit Gameplay (2026 · 2 citations)
    The paper asks how well vision-language models (VLMs) handle multimodal abductive reasoning, meaning proposing and choosing the most plausible explanation from incomplete visual evidence.

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. Revisiting Epistemic Markers in Confidence Estimation: Can Markers Accurately Reflect Large Language Models' Uncertainty?Annual Meeting of the Association for Computational Linguistics (ACL)Jiayu Liu, Qing Zong, Weiqi Wang, et al.2025 · 8 citations
  2. DIXITWORLD: Evaluating Multimodal Abductive Reasoning in Vision-Language Models with Multi-Agent Dixit GameplayAnnual Meeting of the Association for Computational Linguistics (ACL)Yunxiang MO, Tianshi Zheng, Qing Zong, et al.2026 · 2 citations
  3. SessionIntentBench: A Multi-task Inter-session Intention-shift Modeling Benchmark for E-commerce Customer Behavior Understanding ↗Findings of the Association for Computational Linguistics: ACL 2026 · no summary yetYuqi Yang et al.2026

 Co-authors here

7 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 9 times (of the 149,439 papers whose bibliographies we read); 2 citing papers with a page here →.

Updated

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