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Qiuzhi Liu

Qiuzhi Liu has 2 papers in our library, in 2024–2025, most of them on Language models & pretraining, Reasoning, Vision & language; often with Zhaopeng Tu, Dian Yu, Jen-tse Huang.

2 papers in our library · 2024–2025

OpenAlex · ORCID · h-index 2 · 5 works · 4 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 272 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #5706

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

🎓Tokai UniversityTokyo · Japan2024–2026 · 2 paperscurrent🏢TencentShenzhen · China2024–2025 · 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 · 2 worksReasoning · 1 workVision & language · 1 work

 Works by year

2020s

20251 paper20241 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs (2024 · 192 citations)
    Reasoning models in the o1 family get better accuracy by writing very long chains of thought. This paper argues that much of that extra test-time compute is wasted. The authors call the waste "overthinking": after a model already has the right answer to a trivial question, it keeps producing new solution attempts.…
  2. Insight Over Sight: Exploring the Vision-Knowledge Conflicts in Multimodal LLMs (2025 · 6 citations)
    The paper investigates how multimodal LLMs behave when an image contradicts everyday commonsense they absorbed during training.

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. Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMsarXiv:2412.21187Xingyu Chen, Jiahao Xu, Tian Liang, et al.2024 · 192 citations
  2. DeepMath-103K: A Large-Scale, Challenging, Decontaminated, and Verifiable Mathematical Dataset for Advancing Reasoning ↗arXiv:2504.11456 · no summary yetZhiwei He et al.2025 · 78 citations
  3. Insight Over Sight: Exploring the Vision-Knowledge Conflicts in Multimodal LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Xiaoyuan Liu, Wenxuan Wang, Youliang Yuan, et al.2025 · 6 citations

 Co-authors here

12 of 15 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 272 times (of the 149,439 papers whose bibliographies we read); 73 citing papers with a page here →.

Updated

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