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Jianing Wang

Jianing Wang has 2 papers in our library, in 2024–2025, most of them on Reasoning, Language models & pretraining; often with Jin Jiang, Mengdi Zhang, Qiushi Sun.

2 papers in our library · 2024–2025

OpenAlex · ORCID · h-index 17 · 77 works · 960 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 59 times in our library · ⭐ Paper Stars ranking: #6800

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

🎓East China Normal UniversityShanghai · China2020–2026 · 23 paperscurrent🎓Beijing Jiaotong UniversityBeijing · China2024–2026 · 2 paperscurrent🎓Qinghai UniversityXining · China2019–2025 · 7 papers🏢Alibaba GroupHangzhou · China2022–2023 · 5 papers🎓Jilin UniversityChangchun · China2019–2023 · 4 papers🔬State Key Laboratory of Automotive Simulation and ControlChangchun2019–2023 · 4 papers🎓Birkbeck, University of LondonLondon · United Kingdom2012–2014 · 4 papers🎓Central South UniversityChangsha · China2021–2024 · 3 papers🎓National University of SingaporeSingapore · Singapore2023–2025 · 2 papers🏥Beijing HospitalBeijing · China2022–2024 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 22 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 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 2Research subjects and languages the work is about.Reasoning · 2 worksLanguage models & pretraining · 1 work

 Works by year

2020s

20251 paper20241 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Boosting Language Models Reasoning with Chain-of-Knowledge Prompting (2024 · 94 citations)
    Chain-of-Thought prompting helps LLMs solve multi-step problems, but the intermediate rationales often contain invented facts or fail to support the final answer.
  2. LogicPro: Improving Complex Logical Reasoning via Program-Guided Learning (2025 · 8 citations)
    Large language models often fail at multi-step logical reasoning when a task is posed in plain text, even when the same task is easy to solve with code.

 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 59 times (of the 149,439 papers whose bibliographies we read); 7 citing papers with a page here →.

Updated

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