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Jiapeng Wang

Jiapeng Wang has 2 papers in our library, in 2025–2026, most of them on Language models & pretraining, Reasoning; often with Jinhao Jiang, Jie Chen, Jun Zhou.

2 papers in our library · 2025–2026

OpenAlex · ORCID · h-index 2 · 8 works · 13 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 20 times in our library · ⭐ Paper Stars ranking: #8523

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

🎓Xidian UniversityXi'an · China2024–2026 · 2 paperscurrent🎓Nanjing University of Information Science and TechnologyNanjing · Chinacurrent

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution 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).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 worksApplied Mathematics · 1 workComputational Theory and Mathematics · 1 workMathematics · 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. Towards Effective and Efficient Continual Pre-training of Large Language Models (2025 · 29 citations)
    Continual pre-training (CPT) is a common way to adapt an LLM to new languages or domains. Its main risk is catastrophic forgetting, where the model gains new skills but loses old ones. The authors give a fully open CPT recipe for Llama-3 (8B) that targets two weaknesses: Chinese language ability and multidisciplinary…
  2. RV-Syn: Rational and Verifiable Mathematical Reasoning Data Synthesis based on Structured Function Library (2026)
    RV-Syn tackles the shortage of reliable, complex mathematical training data for LLMs. Prior synthesis methods either rework existing annotated sets such as GSM8K and MATH, which limits diversity, or have a model write questions directly from documents or knowledge points. The authors argue that direct generation…

 Co-authors here

12 of 13 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 20 times (of the 149,439 papers whose bibliographies we read); 6 citing papers with a page here →.

Updated

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