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Chengying Tu

Chengying Tu has 2 papers in our library, in 2026, most of them on Language models & pretraining, Question answering; often with Can Ren, Hongfei Yan, Jingang Wang.

2 papers in our library · 2026

OpenAlex · ORCID · h-index 1 · 9 works · 2 citations OpenAlex, 2026-10-14

📄 2 works in our library · ⭐ Paper Stars ranking: #13473

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

🎓Peking UniversityBeijing · China2024–2026 · 5 paperscurrent🏢MeituanBeijing · China2025–2026 · 2 paperscurrent

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

 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).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksComputer Vision and Pattern Recognition · 2 worksLanguage and Linguistics · 2 works

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

 Works by year

2020s

20262 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Large-Scale Diverse Synthesis for Mid-Training (2026)
    Mid-training large language models often relies on synthetic question–answer data. However, existing generators mostly reformat source text into simple, uniform QA pairs, which limits both volume and variety. The authors present BoostQA, a pipeline that first diagnoses what a pre-trained model lacks and then…
  2. LinkQA: Synthesizing Diverse QA from Multiple Seeds Strongly Linked by Knowledge Points (2026)
    Training LLMs is increasingly limited by a shortage of diverse, high-quality data, especially across many academic disciplines.

 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.

Updated

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