🧑‍🔬 Daiyi Peng

🏛️ Affiliations

🏢GoogleMountain View · United States2021–2022 · 4 papers🎓Sichuan UniversityChengdu · China2005 · 3 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. Long-form factuality in large language models (2024 · 165 citations)
   Large language models often make factual mistakes when they write answers several paragraphs long. Before this work there was no broad benchmark for this, and no cheap way to score such answers at scale. The Google DeepMind authors address the problem with three components. The first is LongFact, a set of 2,280…
2. Best Practices and Lessons Learned on Synthetic Data (2024 · 119 citations)
   Strong AI systems need large, varied and clean datasets, but such data is often scarce, expensive to label, or restricted by privacy rules.

All works

10 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. DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetYingwei Li et al.2022 · 563 citations
2. Long-form factuality in large language modelsConference on Neural Information Processing Systems (NeurIPS)Jerry Wei, Chengrun Yang, Xinying Song, et al.2024 · 165 citations
3. Best Practices and Lessons Learned on Synthetic DataarXiv:2404.07503Ruibo Liu, Jerry Wei, Fangyu Liu, et al.2024 · 119 citations
4. Domain Adaptive Transfer Learning with Specialist Models ↗arXiv (Cornell University) · no summary yetJiquan Ngiam et al.2018 · 87 citations
5. AutoHAS: Efficient Hyperparameter and Architecture Search ↗arXiv (Cornell University) · no summary yetXuanyi Dong et al.2020 · 31 citations
6. Evolving Reinforcement Learning Algorithms ↗arXiv (Cornell University) · no summary yetJohn D. Co-Reyes et al.2021 · 22 citations
7. PyGlove: Symbolic Programming for Automated Machine Learning ↗arXiv (Cornell University) · no summary yetDaiyi Peng et al.2021 · 12 citations
8. Brainformers: Trading Simplicity for Efficiency ↗arXiv (Cornell University) · no summary yetYanqi Zhou et al.2023 · 6 citations
9. Domain Adaptive Transfer Learning ↗no summary yetJiquan Ngiam et al.2018 · 1 citation
10. PyGlove: Efficiently Exchanging ML Ideas as Code ↗arXiv (Cornell University) · no summary yetDaiyi Peng et al.2023

🤝 Co-authors here

12 of 16 co-authors with a page, the most papers together first.

• Jerry Wei ×2
• Ruibo Liu ×2
• Andrew M. Dai
• Chenglei Si
• Chengrun Yang
• Da Huang
• Denny Zhou
• Diyi Yang
• Dustin Tran
• Fangyu Liu
• Jie Huang
• Quoc Viet Le

Venues

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

• Conference on Neural Information Processing Systems (NeurIPS): NeurIPS 2024
• IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings

🔗 Cited by

Papers of our library cite their works 2,500 times (of the 149,439 papers whose bibliographies we read); 506 citing papers with a page here →.

Updated 30 October 2026

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