1 source
Co-authored the InstructGPT paper that set the standard instruction-tuning + RLHF recipe.
Researcher Profile
Chong Zhang
Instruction-following via RLHF (InstructGPT)
Co-author, InstructGPT
Co-authored the InstructGPT paper that set the standard instruction-tuning + RLHF recipe.
Labs
About This Page
This profile is meant to help you get oriented quickly: why this researcher matters, what to read first, and where to explore next.
Last updated
March 20, 2026
Known For
The ideas, systems, and research directions that make this person worth knowing.
01
Instruction-following via RLHF (InstructGPT)
02
Training language models to follow instructions with human feedback
03
OpenAI
04
InstructGPT
05
RLHF
06
Post-training
Start Here
Canonical papers, project pages, or repositories that anchor this profile.
Related Researchers
People worth exploring next because they share topics, labs, or source material with this profile.
4 sources
A useful person to follow for the OpenAI thread that runs from dexterous robotics into later evaluation and capability-measurement work on large language models.
Start HereHindsight Experience Replay
4 sources
A high-signal person to follow for the evaluation and verification side of alignment, especially where language models are pushed to produce answers that can actually be checked rather than merely sounding plausible.
Start HereAlignment Research Center team
3 sources
Important for the product-and-systems side of OpenAI because his work spans the lab’s robotics era and later instruction-following language-model work.
3 sources
A useful person to follow for the connection between classic multi-agent RL and the human-feedback work that later fed into OpenAI’s instruction-following systems.
3 sources
One of the clearest people to study for the early OpenAI RLHF stack, especially where human feedback moved from summarization experiments into general instruction-following systems.