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Shunyu Liu

Shunyu Liu has 2 papers in our library, in 2025–2026, most of them on Language models & pretraining, Reasoning; often with Dacheng Tao, Jiale Zhao, Jing Zhang.

2 papers in our library · 2025–2026

OpenAlex · ORCID · Wikidata · h-index 16 · 104 works · 3,468 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 19 times in our library · ⭐ Paper Stars ranking: #8958

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

🎓Zhejiang UniversityHangzhou · China2021–2026 · 34 paperscurrent🎓Nanyang Technological UniversitySingapore · Singapore2025–2026 · 29 paperscurrent🎓Nanjing Institute of TechnologyNanjing · China2022–2026 · 3 paperscurrent🎓The University of QueenslandBrisbane · Australia2026 · 2 paperscurrent🎓Purdue University West LafayetteWest Lafayette · United States2018–2022 · 12 papers🎓Hainan UniversityHaikou · China2023–2024 · 2 papers🎓Clemson UniversityClemson · United States2022–2023 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 4 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 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 works

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

 Works by year

2020s

20261 paper20251 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Dynamic Parallel Tree Search for Efficient LLM Reasoning (2025 · 13 citations)
    Tree-of-Thoughts (ToT) style search, often driven by MCTS, improves LLM reasoning, but prior work has focused on accuracy rather than cost.
  2. RubricHub: A Comprehensive and Highly Discriminative Rubric Dataset via Automated Coarse-to-Fine Generation (2026 · 9 citations)
    Reinforcement learning with verifiable rewards works well for math and code, where answers can be checked.

 Co-authors here

9 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 19 times (of the 149,439 papers whose bibliographies we read); 8 citing papers with a page here →.

Updated

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