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Caiqi Zhang

Caiqi Zhang has 5 papers in our library, in 2024–2026, most of them on Language models & pretraining; often with Nigel Collier, Xiaochen Zhu, Andreas Vlachos.

5 papers in our library · 2024–2026

OpenAlex · h-index 5 · 28 works · 55 citations OpenAlex, 2026-10-14

📄 5 works in our library · 🔗 Cited 65 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #7040

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

🎓University of CambridgeCambridge · United Kingdom2023–2026 · 18 paperscurrent🎓Hong Kong Polytechnic UniversityHong Kong · China2021–2023 · 3 papers🏢China National Offshore Oil CorporationBeijing · China2016–2018 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

 Fields, topics and concepts

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

📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 5 worksArts and Humanities · 5 worksComputer Science · 5 worksLanguage and Linguistics · 5 worksPhysics and Astronomy · 1 workStatistical and Nonlinear Physics · 1 work

🧭 Topics 1Research subjects and languages the work is about.Language models & pretraining · 3 works

 Works by year

2020s

20262 papers20252 papers20241 paper

 Papers

The most cited first (OpenAlex and our library).

  1. LUQ: Long-text Uncertainty Quantification for LLMs (2024 · 42 citations)
    Most uncertainty quantification (UQ) work for LLMs targets very short answers, usually under ten words, and often needs access to logits.
  2. Conformity in Large Language Models (2025 · 18 citations)
    LLMs increasingly serve as conversational partners and as members of multi-agent ensembles. A tendency to side with a majority, even a wrong one, can therefore undermine their usefulness. The authors adapt the classic Asch conformity paradigm to LLMs. In a scripted dialogue, the model answers a question last, after…
  3. LoGU: Long-form Generation with Uncertainty Expressions (2025 · 13 citations)
    Work on getting LLMs to admit what they do not know has mostly targeted short-form QA, where one confidence signal covers a single answer.
  4. Confidence Estimation for LLMs in Multi-turn Interactions (2026 · 7 citations)
    Most work on LLM confidence estimation looks at single questions answered once. This paper studies a different case: multi-turn dialogue, where useful information arrives over several turns. The authors argue that a good confidence signal in this setting must do two things. It should be calibrated at each turn, and…
  5. Demystifying Multi-Agent Debate: The Role of Confidence and Diversity (2026 · 6 citations)
    Multi-agent debate (MAD) is a popular test-time scaling technique for LLMs, but its standard form often does no better than a plain majority vote while costing more.

All works

6 works of theirs in our library, the most cited first; 5 with a page here, the others link their original until we summarise them.

  1. LUQ: Long-text Uncertainty Quantification for LLMsConference on Empirical Methods in Natural Language Processing (EMNLP)Caiqi Zhang, Fangyu Liu, Marco Basaldella, et al.2024 · 42 citations
  2. Conformity in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Xiaochen Zhu, Caiqi Zhang, Tom Stafford, et al.2025 · 18 citations
  3. LoGU: Long-form Generation with Uncertainty ExpressionsAnnual Meeting of the Association for Computational Linguistics (ACL)Ruihan Yang, Caiqi Zhang, Zhisong Zhang, et al.2025 · 13 citations
  4. Confidence Estimation for LLMs in Multi-turn InteractionsFindings of the Association for Computational LinguisticsCaiqi Zhang, Ruihan Yang, Xiaochen Zhu, et al.2026 · 7 citations
  5. Demystifying Multi-Agent Debate: The Role of Confidence and DiversityFindings of the Association for Computational LinguisticsXiaochen Zhu, Caiqi Zhang, Yizhou Chi, et al.2026 · 6 citations
  6. LoVeC: Reinforcement Learning for Better Verbalized Confidence in Long-Form Generation ↗Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetCaiqi Zhang et al.2026

 Co-authors here

12 of 14 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 65 times (of the 149,439 papers whose bibliographies we read); 16 citing papers with a page here →.

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