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Chenchen Jing

Chenchen Jing has 2 papers in our library, in 2026, most of them on Language models & pretraining, Evaluation & benchmarks; often with Chunhua Shen, Hao Chen, Jiaheng Zhang.

2 papers in our library · 2026

OpenAlex · ORCID · h-index 1 · 14 works · 2 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 3 times in our library · ⭐ Paper Stars ranking: #10888

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 University of TechnologyHangzhou · China2025–2026 · 8 paperscurrent🎓Zhejiang UniversityHangzhou · China2024–2026 · 6 paperscurrent

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 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksComputer Vision and Pattern Recognition · 2 worksLanguage and Linguistics · 2 works

🧭 Topics 2Research subjects and languages the work is about.Language models & pretraining · 2 worksEvaluation & benchmarks · 1 work

 Works by year

2020s

20262 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Beyond Hard Masks: Progressive Token Evolution for Diffusion Language Models (2026 · 2 citations)
    Masked diffusion language models (MDLMs) generate text in parallel by gradually unmasking positions. They have two weaknesses. First, once a token is committed, it can never be revised. Second, the model predicts distributions for every position at each step but keeps only a few, so most of that work is thrown away.
  2. Efficient Self-Evaluation for Diffusion Language Models via Sequence Regeneration (2026 · 1 citation)
    Diffusion language models (dLLMs) such as LLaDA generate text by iteratively unmasking tokens in no fixed order.

 Co-authors here

6 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 3 times (of the 149,439 papers whose bibliographies we read); 2 citing papers with a page here →.

Updated

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