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Daizong Liu

Daizong Liu has 2 papers in our library, in 2025–2026, most of them on Reasoning; often with Dongrui Liu, Ganqu Cui, Guiyao Tie.

2 papers in our library · 2025–2026

OpenAlex · ORCID · Wikidata · h-index 23 · 104 works · 1,737 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 53 times in our library · ⭐ Paper Stars ranking: #8911

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

🎓Peking UniversityBeijing · China2022–2026 · 69 paperscurrent🎓Wuhan UniversityWuhan · China2025–2026 · 10 paperscurrent🎓Huazhong University of Science and TechnologyWuhan · China2019–2023 · 14 papers🤝World Resources InstituteWashington · United States2016–2017 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 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).Computer Science · 2 worksArts and Humanities · 1 workArtificial Intelligence · 2 worksComputer Vision and Pattern Recognition · 1 workLanguage and Linguistics · 1 workComputer Science Applications · 1 workInformation Systems · 1 work

🧭 Topics 1Research subjects and languages the work is about.Reasoning · 1 work

 Works by year

2020s

20261 paper20251 paper

 Papers

The most cited first (OpenAlex and our library).

  1. A Survey of Efficient Reasoning for Large Reasoning Models: Language, Multimodality, and Beyond (2025 · 55 citations)
    Large Reasoning Models (LRMs) such as DeepSeek-R1, OpenAI o1/o3 and QwQ gain accuracy by writing long chain-of-thought (CoT) traces before answering.
  2. LearnerCoMPASS: Intelligent Tutoring System with Dynamic Cognitive Diagnosis and Multi-Model Path Planning (2026)
    LearnerCoMPASS addresses adaptive learning path recommendation in STEM subjects. In this setting, LLM-based tutors have three weaknesses: they track a learner's changing knowledge too slowly, they invent facts, and they plan curricula with little foresight. The authors propose a closed-loop, end-to-end tutoring…

 Co-authors here

12 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 53 times (of the 149,439 papers whose bibliographies we read); 24 citing papers with a page here →.

Updated

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