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Zhi Wang

Zhi Wang has 3 papers in our library, in 2025–2026, most of them on Reasoning, Language models & pretraining; often with Ganqu Cui, Feng Xiong, Hao Peng.

3 papers in our library · 2025–2026

OpenAlex · ORCID · h-index 10 · 22 works · 194 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 162 times in our library · ⭐ Paper Stars ranking: #6814

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

🎓Northeastern UniversityShenyang · China2025–2026 · 8 paperscurrent🎓Northeastern UniversityBoston · United States2026 · 2 paperscurrent🎓Zhejiang UniversityHangzhou · China2009–2018 · 7 papers🔬State Key Laboratory of Industrial Control TechnologyHangzhou · China2009–2014 · 5 papers🎓Nanjing UniversityNanjing · China2025 · 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 8The field of science this work belongs to (OpenAlex fields).Computer Science · 3 worksArtificial Intelligence · 2 worksArts and Humanities · 1 workLanguage and Linguistics · 1 workSocial Sciences · 1 workInformation Systems · 1 workSignal Processing · 1 workTransportation · 1 work

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

 Works by year

2020s

20261 paper20252 papers

 Papers

The most cited first (OpenAlex and our library).

  1. The Entropy Mechanism of Reinforcement Learning for Reasoning Language Models (2025 · 101 citations)
    Reinforcement learning with verifiable rewards is now a main way to improve LLM reasoning, but scaling it hits a recurring problem. Without explicit regularization, policy entropy falls to almost zero within the first training steps. The model becomes overconfident, stops exploring and its validation accuracy stalls.
  2. Learning to Reason under Off-Policy Guidance (2025 · 68 citations)
    Reinforcement learning with verifiable rewards (RLVR) has driven recent progress in large reasoning models.
  3. Reasoning Over Space: Enabling Geographic Reasoning for LLM-Based Generative Next POI Recommendation (2026 · 1 citation)
    The paper argues that LLM-based generative recommenders for next POI prediction make poor use of geography.

 Co-authors here

12 of 17 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 162 times (of the 149,439 papers whose bibliographies we read); 55 citing papers with a page here →.

Updated

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