🧑‍🔬 Xiaochen Zhu

🏛️ Affiliations

🎓University of CambridgeCambridge · United Kingdom2026 · 1 papercurrent🎓University of SheffieldSheffield · United Kingdom2026 · 1 papercurrent🎓Northeastern UniversityShenyang · China2012–2025 · 15 papers🔬State Key Laboratory of Synthetical Automation for Process IndustriesShenyang2023 · 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.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. 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…
2. 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…
3. 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

4 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

1. Conformity in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Xiaochen Zhu, Caiqi Zhang, Tom Stafford, et al.2025 · 18 citations
2. Confidence Estimation for LLMs in Multi-turn InteractionsFindings of the Association for Computational LinguisticsCaiqi Zhang, Ruihan Yang, Xiaochen Zhu, et al.2026 · 7 citations
3. 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
4. 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

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

• Caiqi Zhang ×3
• Nigel Collier ×3
• Andreas Vlachos ×2
• Tom Stafford ×2
• Chengzu Li
• Deqing Yang
• Ruihan Yang
• Tiancheng Hu

Venues

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

• Annual Meeting of the Association for Computational Linguistics (ACL) ×2: ACL 2025
• Findings of the Association for Computational Linguistics ×2: Findings of the Association for Computational Linguistics 2026 ×2

🔗 Cited by

Papers of our library cite their works 21 times (of the 149,439 papers whose bibliographies we read); 7 citing papers with a page here →.

Updated 30 October 2026

This page in Markdown → https://md.research.elamur.ai/free/en/authors/xiaochen-zhu/