Researcher · Policy
Sandhini Agarwal
Current role not listed
Career & education
OpenAI2020-2026
Stanford UniversityWork and education history is primarily focused on AI-relevant roles and may not be comprehensive.
Citation Trend
Selected contributions
Language Models are Few-Shot Learners
With Tom Brown, Ben Mann, Nick Ryder, Melanie Subbiah, Jared Kaplan, Prafulla Dhariwal, Arvind Neelakantan and others ·GPT-3 performs tasks from prompts and a few examples without task-specific training.
Learning Transferable Visual Models From Natural Language Supervision
With Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Girish Sastry, Amanda Askell and others ·CLIP learns from image-caption pairs to recognize categories described in words.
Training Language Models to Follow Instructions with Human Feedback
With Long Ouyang, Jeffrey Wu, Xu Jiang, Diogo Almeida, Carroll Wainwright, Pamela Mishkin, Chong Zhang and others ·InstructGPT uses human feedback to train language models to follow instructions.
References
- GPT-4 contributionsopenai.com
GPT-4 contributions; verified primary evidence for the anchored contribution. Official GPT-4 credits and original GPT-3/CLIP/agent-governance papers checked. Preserves all four substantive contributions from previous bio, distinguishes system-card leadership from co-authorship and explains CLIP/agents. No supplied CV or verified current personal page.
- Language Models are Few-Shot Learnersarxiv.org
Language Models are Few-Shot Learners; verified primary evidence for the anchored contribution. Official GPT-4 credits and original GPT-3/CLIP/agent-governance papers checked. Preserves all four substantive contributions from previous bio, distinguishes system-card leadership from co-authorship and explains CLIP/agents. No supplied CV or verified current personal page.
- Evaluating CLIParxiv.org
Evaluating CLIP; verified primary evidence for the anchored contribution. Official GPT-4 credits and original GPT-3/CLIP/agent-governance papers checked. Preserves all four substantive contributions from previous bio, distinguishes system-card leadership from co-authorship and explains CLIP/agents. No supplied CV or verified current personal page.
- Practices for Governing Agentic AI Systemsopenai.com
Practices for Governing Agentic AI Systems; verified primary evidence for the anchored contribution. Official GPT-4 credits and original GPT-3/CLIP/agent-governance papers checked. Preserves all four substantive contributions from previous bio, distinguishes system-card leadership from co-authorship and explains CLIP/agents. No supplied CV or verified current personal page.
Based on public sources. If accuracy is important, verify details using the links or references.
For corrections, updates, or requests to remove information, contact us.
Reviewed August 16, 2026 · Checked for accuracy and new information.