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Jiajun Shi

Jiajun Shi has 2 papers in our library, in 2025–2026, most of them on Language models & pretraining, Reasoning; often with Fan Yin, Haoran Que, He Zhu.

2 papers in our library · 2025–2026

OpenAlex · ORCID · h-index 5 · 18 works · 131 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 33 times in our library · ⭐ Paper Stars ranking: #8315

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

🎓Beihang UniversityBeijing · China2026 · 1 papercurrent🏥Nanjing Drum Tower HospitalNanjing · China2019–2024 · 7 papers🎓Nanjing UniversityNanjing · China2019–2024 · 6 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 8 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).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksComputer Vision and Pattern Recognition · 1 workInformation Systems · 1 workSoftware · 1 work

🧭 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. Scaling Latent Reasoning via Looped Language Models (2025 · 22 citations)
    Most large language models learn to reason through explicit chain-of-thought added after pre-training. This lengthens outputs and makes little use of pre-training data. The authors propose Ouro, a family of Looped Language Models (LoopLM) in which a stack of weight-tied layers is applied several times, so hidden…
  2. MdEval: Massively Multilingual Code Debugging (2026 · 12 citations)
    Most existing code-debugging benchmarks for LLMs, such as DebugBench and DebugEval, cover only one to three languages and are mostly Python-centred.

 Co-authors here

12 of 16 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 33 times (of the 149,439 papers whose bibliographies we read); 5 citing papers with a page here →.

Updated

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