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Minjun Zhu

Minjun Zhu has 2 papers in our library, in 2023–2024, most of them on Language models & pretraining, Reasoning; often with Yixuan Weng, Bin Li, Fei Xia.

2 papers in our library · 2023–2024

OpenAlex · ORCID · h-index 4 · 16 works · 146 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 280 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #4797

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

🎓Westlake UniversityHangzhou · China2024–2026 · 3 paperscurrent🏛️Chinese Academy of SciencesBeijing · China2022–2024 · 6 papers🎓University of Chinese Academy of SciencesBeijing · China2022–2024 · 5 papers🔬Institute of AutomationBeijing · China2022–2023 · 3 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 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 worksComputer Vision and Pattern Recognition · 1 workSafety Research · 1 workSocial Sciences · 1 work

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

 Works by year

2020s

20241 paper20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Large Language Models are Better Reasoners with Self-Verification (2023 · 304 citations)
    Chain-of-thought (CoT) prompting helps large language models reason through multi-step problems. One wrong step, though, can carry through the chain and spoil the final answer. Earlier fixes trained a separate verifier model, which needs human labels and fine-tuning and gives scores that are hard to interpret. The…
  2. Personality Alignment of Large Language Models (2024 · 21 citations)
    Standard LLM alignment targets broad, shared human values and ignores how individual users differ. The authors call this gap "Personality Alignment": adapting a model's answers and choices to one person or a small, closely related group. To make the task measurable, they build PAPI, a psychometrics-based dataset that…

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. Large Language Models are Better Reasoners with Self-VerificationFindings of the Association for Computational LinguisticsYixuan Weng, Minjun Zhu, Fei Xia, et al.2023 · 304 citations
  2. CycleResearcher: Improving Automated Research via Automated Review ↗arXiv:2411.00816 · no summary yetYixuan Weng et al.2024 · 65 citations
  3. Personality Alignment of Large Language ModelsarXiv:2408.11779Minjun Zhu, Yixuan Weng, Linyi Yang, et al.2024 · 21 citations

 Co-authors here

8 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 280 times (of the 149,439 papers whose bibliographies we read); 63 citing papers with a page here →.

Updated

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