Chong Zhang
Chong Zhang has 2 papers in our library, in 2022, most of them on Language models & pretraining; often with Sandhini Agarwal, Alex Ray, Diogo Almeida.
current affiliationBeijing Information Science & Technology University, Beijing, China
OpenAlex · ORCID · h-index 25 · 166 works · 7 940 citations OpenAlex, 2026-10-14
2 works in our library · 6 912 citations in our library · ⭐ Paper Star rank #426
Affiliations
- Beijing Information Science & Technology University · Beijing, China — current · 2018–2026 on 2 papers
- Alibaba Group (China) · Hangzhou, China — 2013–2025 on 15 papers
- Tencent (China) · Shenzhen, China — 2020–2025 on 11 papers
- Deakin University · Burwood, Australia — 2020–2025 on 4 papers
- Ocean University of China · Qingdao, China — 2025 on 2 papers
- Xi’an Jiaotong-Liverpool University · Suzhou, China — 2023–2024 on 5 papers
- Alibaba Group (Cayman Islands) · George Town, Cayman Islands — 2023–2024 on 4 papers
- Beihang University · Beijing, China — 2021–2024 on 3 papers
- State Key Laboratory of Software Development Environment · Beijing — 2021–2024 on 3 papers
- Alibaba DAMO Academy (China) · Hangzhou, China — 2023–2024 on 2 papers
Topics
Works by year
2020s
Papers
- Training language models to follow instructions with human feedback (2022 · 5 770 citations)
Making language models larger does not by itself make them more helpful: they make up facts, generate toxic text, or disregard the user's request. - A Holistic Approach to Undesired Content Detection in the Real World (2022 · 254 citations)
Moderating the inputs and outputs of language models requires classifiers that cover many kinds of undesired content and that still work on real production traffic.
Co-authors here
- Sandhini Agarwal ×2
- Alex Ray
- Diogo Almeida
- Jacob Hilton
- Jeff Wu
- John Schulman
- Lilian Weng
- Long Ouyang
- Pamela Mishkin
- Steven Adler
- Teddy Lee
- Xu Jiang
Cited by
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