🧑‍🔬 Zitong Yang

🏛️ Affiliations

🎓Xi'an Jiaotong UniversityXi'an · China2025–2026 · 3 paperscurrent🎓Stanford UniversityStanford · United States2024–2025 · 4 papers🎓University of California, BerkeleyBerkeley · United States2019–2021 · 4 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.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. s1: Simple test-time scaling (2025 · 608 citations)
   The paper looks for the most minimal recipe that gives a language model both strong reasoning and clear test-time scaling, meaning accuracy rises as the model is allowed to think longer.
2. Towards Execution-Grounded Automated AI Research (2026 · 7 citations)
   LLMs can propose research ideas that sound convincing but fail when tested. This paper asks two questions: can idea testing be automated at scale, and can models improve from the measured results? The authors built an automated executor. An Implementer turns natural-language ideas into code diffs, a Scheduler assigns…

All works

4 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. s1: Simple test-time scalingConference on Empirical Methods in Natural Language Processing (EMNLP)Niklas Muennighoff, Zitong Yang, Weijia Shi, et al.2025 · 608 citations
2. Rethinking Bias-Variance Trade-off for Generalization of Neural Networks ↗arXiv (Cornell University) · no summary yetZitong Yang et al.2020 · 81 citations
3. Understanding Generalization in Adversarial Training via the Bias-Variance Decomposition ↗arXiv (Cornell University) · no summary yetYaodong Yu et al.2021 · 11 citations
4. Towards Execution-Grounded Automated AI ResearcharXiv:2601.14525Chenglei Si, Zitong Yang, Yejin Choi, et al.2026 · 7 citations

🤝 Co-authors here

12 co-authors with a page, the most papers together first.

• Emmanuel J. Candès ×2
• Tatsunori Hashimoto ×2
• Chenglei Si
• Diyi Yang
• Hannaneh Hajishirzi
• Li Fei-Fei
• Luke Zettlemoyer
• Niklas Muennighoff
• Percy Liang
• Weijia Shi
• Xiang Lisa Li
• Yejin Choi

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

• Conference on Empirical Methods in Natural Language Processing (EMNLP): EMNLP 2025

🔗 Cited by

Papers of our library cite their works 550 times (of the 149,439 papers whose bibliographies we read); 135 citing papers with a page here →.

Updated 30 October 2026

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