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Jin Jiang

Jin Jiang has 2 papers in our library, in 2025, most of them on Reasoning, Language models & pretraining; often with Mengdi Zhang, Yang Liu, Yuchen Yan.

2 papers in our library · 2025

OpenAlex · h-index 5 · 23 works · 115 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 36 times in our library · ⭐ Paper Stars ranking: #8204

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 Ocean UniversityZhoushan · China2024–2026 · 3 paperscurrent🎓Hunan Railway Professional Technology CollegeZhuzhou2026 · 1 papercurrent🎓Shantou UniversityShantou · China2026 · 1 papercurrent🎓Anhui University of TechnologyMa'anshan City · China2023–2024 · 6 papers🎓Southeast UniversityNanjing · China2010–2019 · 6 papers🔬Jiangsu Key Laboratory of Construction MaterialsNanjing · China2016 · 3 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 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

20252 papers

 Papers

The most cited first (OpenAlex and our library).

  1. InftyThink: Breaking the Length Limits of Long-Context Reasoning in Large Language Models (2025 · 29 citations)
    Reasoning-oriented LLMs such as DeepSeek-R1 handle hard problems by writing very long chains of thought. This approach has three costs. Attention cost grows quadratically with output length. Generation can be cut off at the maximum context size before an answer appears. Quality also drops once text exceeds the short…
  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 36 times (of the 149,439 papers whose bibliographies we read); 11 citing papers with a page here →.

Updated

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