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Peng Cui

Peng Cui has 2 papers in our library, in 2023–2025, most of them on Text generation, Evaluation & benchmarks; often with Mrinmaya Sachan, Ryan Cotterell, Tiannan Wang.

2 papers in our library · 2023–2025

OpenAlex · ORCID · h-index 9 · 21 works · 287 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 80 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #7265

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

🎓ETH ZurichZurich · Switzerland2022–2026 · 19 papersEducation since 2022 · Ph.D., Department of Computer Science🎓Harbin Institute of TechnologyHarbin · China2013–2021 · 6 papersEducation 2013–2017 · Bachelor, Department of Computer ScienceEducation 2017–2019 · Master, Department of Computer Science

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).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.Evaluation & benchmarks · 1 workText generation · 1 work

 Works by year

2020s

20251 paper20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. RecurrentGPT: Interactive Generation of (Arbitrarily) Long Text (2023 · 57 citations)
    Transformer-based LLMs such as ChatGPT have a fixed context window, so prompting alone cannot produce very long, coherent texts like novels.
  2. How to Select Datapoints for Efficient Human Evaluation of NLG Models? (2025 · 17 citations)
    Human judgments remain the most trusted way to compare text generation systems, but annotating whole test sets is too costly, so practitioners usually annotate a random sample.

All works

3 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. Enhancing Extractive Text Summarization with Topic-Aware Graph Neural Networks ↗Proceedings of the 28th International Conference on Computational Linguistics · no summary yetPeng Cui, Le Hu, Yuanchao Liu2020 · 87 citations
  2. RecurrentGPT: Interactive Generation of (Arbitrarily) Long TextarXiv:2305.13304Wangchunshu Zhou, Yuchen Eleanor Jiang, Peng Cui, et al.2023 · 57 citations
  3. How to Select Datapoints for Efficient Human Evaluation of NLG Models?Transactions of the Association for Computational Linguistics (TACL)Vilém Zouhar, Peng Cui, Mrinmaya Sachan2025 · 17 citations

 Co-authors here

7 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 80 times (of the 149,439 papers whose bibliographies we read); 20 citing papers with a page here →.

Updated

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