Sotabase

Career

· Research Intern, DeepMind2022–
· PhD Candidate, Computer Science, Stanford University2019–2024
· Software Engineer, Princeton Neuroscience Institute2018–
· Software Engineer, Samsung Research America2018–2019
· Intern, Google2017–
· Bachelor of Science in Computer Science, Princeton University2014–2018
· Founder, iOS Developer, TapTools LLC2012–2016
· Research Scientist, OpenAI

Publications (65)

Direct Preference Optimization: Your Language Model is Secretly a Reward Model
Neural Information Processing Systems · 2023
7,061
cited
On the Opportunities and Risks of Foundation Models
arXiv.org · 2021
5,795
cited
DetectGPT: Zero-Shot Machine-Generated Text Detection using Probability Curvature
International Conference on Machine Learning · 2023
879
cited
Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback
Conference on Empirical Methods in Natural Language Processing · 2023
546
cited
Fast Model Editing at Scale
International Conference on Learning Representations · 2021
480
cited
Memory-Based Model Editing at Scale
International Conference on Machine Learning · 2022
471
cited
Functional connectomics spanning multiple areas of mouse visual cortex
bioRxiv · 2021
303
cited
Neuronal wiring diagram of an adult brain
bioRxiv · 2023
220
cited
FlyWire: Online community for whole-brain connectomics
Nature Methods · 2020
210
cited
Learning Language-Conditioned Robot Behavior from Offline Data and Crowd-Sourced Annotation
Conference on Robot Learning · 2021
182
cited
Identifying and Mitigating the Security Risks of Generative AI
Found. Trends Priv. Secur. · 2023
123
cited
Offline Meta-Reinforcement Learning with Advantage Weighting
International Conference on Machine Learning · 2020
119
cited
An Emulator for Fine-Tuning Large Language Models using Small Language Models
International Conference on Learning Representations · 2023
66
cited
Self-Destructing Models: Increasing the Costs of Harmful Dual Uses of Foundation Models
AAAI/ACM Conference on AI, Ethics, and Society · 2022
64
cited
Functional connectomics reveals general wiring rule in mouse visual cortex
Nature · 2025
55
cited
Petascale neural circuit reconstruction: automated methods
bioRxiv · 2021
48
cited
OpenAI GPT-5 System Card
2025
46
cited
Enhancing Self-Consistency and Performance of Pre-Trained Language Models through Natural Language Inference
Conference on Empirical Methods in Natural Language Processing · 2022
43
cited
Meta-Learning Online Adaptation of Language Models
Conference on Empirical Methods in Natural Language Processing · 2023
43
cited
Inhibitory specificity from a connectomic census of mouse visual cortex
Nature · 2025
40
cited
Sotabase
Eric Mitchell | Researcher Profile | Sotabase | Sotabase