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Sihang Zeng

Sihang Zeng has 2 papers in our library, in 2024–2025, most of them on Language models & pretraining; often with Biqing Qi, Bowen Zhou, Kai Tian.

2 papers in our library · 2024–2025

OpenAlex · ORCID · h-index 5 · 31 works · 78 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 61 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #8596

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

🎓University of WashingtonSeattle · United States2023–2026 · 12 paperscurrent🤝Fred Hutch Cancer CenterSeattle · United States2026 · 3 paperscurrent🏥VA Puget Sound Health Care SystemSeattle · United States2026 · 2 paperscurrent🏥VA Greater Los Angeles Healthcare SystemLos Angeles · United States2026 · 1 papercurrent🎓Tsinghua UniversityBeijing · China2021–2023 · 5 papers

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 11The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksBiochemistry, Genetics and Molecular Biology · 1 workHealth Informatics · 1 workMedicine · 1 workMolecular Biology · 1 workSocial Sciences · 1 workGeneral Social Sciences · 1 workHistory and Philosophy of Science · 1 work

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

 Works by year

2020s

20251 paper20241 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Large Language Models as Biomedical Hypothesis Generators: A Comprehensive Evaluation (2024 · 19 citations)
    The paper asks whether large language models can propose genuinely new biomedical hypotheses, rather than repeating knowledge absorbed during pre-training.
  2. ReviewRL: Towards Automated Scientific Review with RL (2025 · 9 citations)
    Growing submission volumes strain peer review, and current LLM reviewers often produce shallow, generic critiques.

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. Large Language Models are Zero Shot Hypothesis Proposers ↗arXiv:2311.05965 · no summary yetBiqing Qi et al.2023 · 45 citations
  2. Large Language Models as Biomedical Hypothesis Generators: A Comprehensive EvaluationarXiv:2407.08940Biqing Qi, Kaiyan Zhang, Kai Tian, et al.2024 · 19 citations
  3. ReviewRL: Towards Automated Scientific Review with RLConference on Empirical Methods in Natural Language Processing (EMNLP)Sihang Zeng, Kai Tian, Kaiyan Zhang, et al.2025 · 9 citations

 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 61 times (of the 149,439 papers whose bibliographies we read); 14 citing papers with a page here →.

Updated

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