Elamur Research⌕
☰
home / authors / Hancheng Cao

Hancheng Cao

Hancheng Cao has 3 papers in our library, in 2023–2024, most of them on Language models & pretraining; often with Weixin Liang, Daniel A. McFarland, Haley Lepp.

3 papers in our library · 2023–2024

OpenAlex · ORCID · Wikidata · h-index 19 · 58 works · 1,381 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 244 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #4074

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

🎓Emory UniversityAtlanta · United States2025–2026 · 11 papersEmployment · Goizueta Business Schoolcurrent🎓Stanford UniversityStanford · United States2018–2025 · 32 papersEducation · PhD, computer science🎓Tsinghua UniversityBeijing · China2018–2021 · 7 papers🏢MicrosoftRedmond · United States2025 · 4 papers🔬Beijing National Research Center for Information Science and TechnologyBeijing · China2018–2019 · 4 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 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 10The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 3 worksDecision Sciences · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksHistory and Philosophy of Science · 2 worksStatistics, Probability and Uncertainty · 2 worksSafety Research · 1 workSocial Sciences · 1 workInformation Systems and Management · 1 work

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

 Works by year

2020s

20242 papers20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Can large language models provide useful feedback on research papers? A large-scale empirical analysis (2023 · 332 citations)
    Rising submission volumes make it harder to get timely, high-quality critique of manuscripts. ICLR submissions, for example, grew from 960 in 2018 to 4,966 in 2023. Junior and under-resourced researchers are hit hardest. The authors test whether GPT-4 can supply useful reviewer-style comments. Their pipeline parses a…
  2. Monitoring AI-Modified Content at Scale: A Case Study on the Impact of ChatGPT on AI Conference Peer Reviews (2024 · 119 citations)
    Detecting LLM-written text one document at a time is unreliable, and humans perform barely better than chance at it.
  3. Mapping the Increasing Use of LLMs in Scientific Papers (2024 · 89 citations)
    Since ChatGPT appeared, many have guessed how often researchers use LLMs to write papers, but there has been no reliable measurement.

All works

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

  1. Can large language models provide useful feedback on research papers? A large-scale empirical analysisarXiv:2310.01783Weixin Liang, Yuhui Zhang, Hancheng Cao, et al.2023 · 332 citations
  2. Monitoring AI-Modified Content at Scale: A Case Study on the Impact of ChatGPT on AI Conference Peer ReviewsarXiv:2403.07183Weixin Liang, Zachary Izzo, Yaohui Zhang, et al.2024 · 119 citations
  3. Evaluating Human-Language Model Interaction ↗arXiv (Cornell University) · no summary yetMina Lee et al.2022 · 110 citations
  4. Mapping the Increasing Use of LLMs in Scientific PapersarXiv:2404.01268Weixin Liang, Yaohui Zhang, Zhengxuan Wu, et al.2024 · 89 citations
  5. Quantifying large language model usage in scientific papers ↗Nature Human Behaviour · no summary yetWeixin Liang et al.2025 · 81 citations

 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 244 times (of the 149,439 papers whose bibliographies we read); 57 citing papers with a page here →.

Updated

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/authors/hancheng-cao/