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Shujian Zhang

Shujian Zhang has 2 papers in our library, in 2023–2026, most of them on Language models & pretraining; often with Chengyue Gong, Marzyeh Ghassemi, Wenxuan Zhou.

2 papers in our library · 2023–2026

OpenAlex · ORCID · h-index 23 · 219 works · 1,769 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 90 times in our library · 3 more in our library without a page yet · ⭐ Paper Stars ranking: #7692

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

🎓China Academy of Chinese Medical SciencesBeijing · China2023–2026 · 16 paperscurrent🎓Jinggangshan UniversityJi’an · China2024–2026 · 7 paperscurrent🎓Guangdong University of Science and TechnologyDongguan · China2023–2026 · 5 paperscurrent🎓Jilin UniversityChangchun · China2019–2026 · 4 paperscurrent🎓Hubei UniversityWuhan · China2026 · 1 papercurrent🎓Sun Yat-sen UniversityGuangzhou · China2026 · 1 papercurrent🎓The University of Texas at AustinAustin · United States2020–2025 · 17 papers🎓Nanjing University of Chinese MedicineNanjing · China2006–2017 · 12 papersEducation 2006–2009 · the 2nd Clinical college🏥Tianjin Children's HospitalTianjin · China2017–2025 · 11 papers🎓Shandong University of Traditional Chinese MedicineJinan · China2019–2023 · 10 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 52 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 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksComputer Science · 2 worksArts and Humanities · 1 workLanguage and Linguistics · 1 work

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

 Works by year

2020s

20261 paper20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. AutoML-GPT: Automatic Machine Learning with GPT (2023 · 52 citations)
    Selecting a model architecture, optimizer and hyperparameters for a new task still takes considerable manual effort.
  2. SFTMix: Elevating Language Model Instruction Tuning with Mixup Recipe (2026 · 3 citations)
    Instruction tuning usually trains LLMs with plain next-token prediction (NTP). Most efforts to improve it focus on building cleaner SFT datasets, which often means filtering with proprietary LLMs or paying human annotators. SFTMix improves the training recipe itself and works on uncurated data.

All works

5 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. Knowing More About Questions Can Help: Improving Calibration in Question Answering ↗Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 · no summary yetShujian Zhang, Chengyue Gong, Eunsol Choi2021 · 57 citations
  2. AutoML-GPT: Automatic Machine Learning with GPTarXiv:2305.02499Shujian Zhang, Chengyue Gong, Lemeng Wu, et al.2023 · 52 citations
  3. Learning with Different Amounts of Annotation: From Zero to Many Labels ↗Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · no summary yetShujian Zhang, Chengyue Gong, Eunsol Choi2021 · 45 citations
  4. Capturing Label Distribution: A Case Study in NLI ↗arXiv (Cornell University) · no summary yetShujian Zhang, Chengyue Gong, Eunsol Choi2021 · 9 citations
  5. SFTMix: Elevating Language Model Instruction Tuning with Mixup RecipeAnnual Meeting of the Association for Computational Linguistics (ACL)Yuxin Xiao, Shujian Zhang, Marzyeh Ghassemi, et al.2026 · 3 citations

 Co-authors here

4 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 90 times (of the 149,439 papers whose bibliographies we read); 18 citing papers with a page here →.

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