Mitchell, Eric

On the Opportunities and Risks of Foundation Models

Bommasani, R., Hudson, D. A., Adeli, E., Altman, R., Arora, S., von Arx, S., Bernstein, M. S., Bohg, J., Bosselut, A., Brunskill, E., et al. (2021) · arXiv

Ethics and Social Impacts of AIArtificial Intelligence Applications

Cited by 2,676

Direct Preference Optimization: Your Language Model is Secretly a Reward Model

Rafailov, R., Sharma, A., Mitchell, E., Manning, C. D., Ermon, S., & Finn, C. (2023) · Advances in Neural Information Processing Systems 36

Reinforcement Learning in RoboticsNatural Language Processing Techniques

Cited by 686

Neuronal wiring diagram of an adult brain

Dorkenwald, S., Matsliah, A., Sterling, A. R., Schlegel, P., Yu, S.-C., McKellar, C. E., Lin, A., Costa, M., Eichler, K., Yin, Y., et al. (2024) · Nature

Neurobiology and Insect Physiology ResearchNeuroscience and Neuropharmacology Research

Cited by 570

Whole-brain annotation and multi-connectome cell typing of Drosophila

Schlegel, P., Yin, Y., Bates, A. S., Dorkenwald, S., Eichler, K., Brooks, P., Han, D. S., Gkantia, M., dos Santos, M., Munnelly, E. J., et al. (2024) · Nature

Neurobiology and Insect Physiology ResearchCell Image Analysis Techniques

Cited by 413

Direct Preference Optimization: Your Language Model is Secretly a Reward Model

Rafailov, R., Sharma, A., Mitchell, E., Ermon, S., Manning, C. D., & Finn, C. (2023) · arXiv

Ethics and Social Impacts of AIEmbodied and Extended Cognition

Cited by 293

FlyWire: online community for whole-brain connectomics

Dorkenwald, S., McKellar, C. E., Macrina, T., Kemnitz, N., Lee, K., Lu, R., Wu, J., Popovych, S., Mitchell, E., Nehoran, B., et al. (2022) · Nature Methods

Cell Image Analysis TechniquesNeurobiology and Insect Physiology Research

Cited by 289

Functional connectomics spanning multiple areas of mouse visual cortex

The MICrONS Consortium, Bae, J. A., Baptiste, M., Bishop, C. A., Bodor, A. L., Brittain, D., Buchanan, J., Bumbarger, D. J., Castro, M. A., Celii, B., et al. (2021) · bioRxiv (Cold Spring Harbor Laboratory)

Visual perception and processing mechanismsNeuroscience and Neuropharmacology Research

Cited by 214

DetectGPT: Zero-Shot Machine-Generated Text Detection using Probability Curvature

Mitchell, E., Lee, Y., Khazatsky, A., Manning, C. D., & Finn, C. (2023) · arXiv

Authorship Attribution and ProfilingDigital Media Forensic Detection

Cited by 151

Neuronal wiring diagram of an adult brain

Dorkenwald, S., Matsliah, A., Sterling, A. R., Schlegel, P., Yu, S.-C., McKellar, C. E., Lin, A., Costa, M., Eichler, K., Yin, Y., et al. (2023) · bioRxiv (Cold Spring Harbor Laboratory)

Neurobiology and Insect Physiology ResearchCell Image Analysis Techniques

Cited by 149

Just ask for calibration: Strategies for eliciting calibrated confidence scores from language models fine-tuned with human feedback

Tian, K., Mitchell, E., Zhou, A., Sharma, A., Rafailov, R., Yao, H., Finn, C., & Manning, C. (2023) · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing

Topic ModelingAdversarial Robustness in Machine Learning

Cited by 123

Fast Model Editing at Scale

Mitchell, E., Lin, C., Bosselut, A., Finn, C., & Manning, C. D. (2021) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 95

CAVE: Connectome Annotation Versioning Engine

Dorkenwald, S., Schneider-Mizell, C. M., Brittain, D., Halageri, A., Jordan, C., Kemnitz, N., Castro, M. A., Silversmith, W., Maitin-Shephard, J., Troidl, J., et al. (2023) · Nature Methods

Cell Image Analysis TechniquesScientific Computing and Data Management

Cited by 79

Identifying and Mitigating the Security Risks of Generative AI

Barrett, C., Boyd, B., Bursztein, E., Carlini, N., Chen, B., Choi, J., Chowdhury, A. R., Christodorescu, M., Datta, A., Feizi, S., et al. (2023) · Foundations and Trends® in Privacy and Security

Adversarial Robustness in Machine LearningInformation and Cyber Security

Cited by 57

Petascale neural circuit reconstruction: automated methods

Macrina, T., Lee, K., Lu, R., Turner, N. L., Wu, J., Popovych, S., Silversmith, W., Kemnitz, N., Bae, J. A., Castro, M. A., et al. (2021) · bioRxiv (Cold Spring Harbor Laboratory)

Cell Image Analysis TechniquesAdvanced Electron Microscopy Techniques and Applications

Cited by 55

Memory-Based Model Editing at Scale

Mitchell, E., Lin, C., Bosselut, A., Manning, C. D., & Finn, C. (2022) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 51

OpenAI o1 System Card

OpenAI, :, Jaech, A., Kalai, A., Lerer, A., Richardson, A., El-Kishky, A., Low, A., Helyar, A., Madry, A., et al. (2024) · arXiv

Adversarial Robustness in Machine LearningEthics and Social Impacts of AI

Cited by 50

Petascale pipeline for precise alignment of images from serial section electron microscopy

Popovych, S., Macrina, T., Kemnitz, N., Castro, M., Nehoran, B., Jia, Z., Bae, J. A., Mitchell, E., Mu, S., Trautman, E. T., et al. (2024) · Nature Communications

Advanced Electron Microscopy Techniques and ApplicationsCell Image Analysis Techniques

Cited by 39

OpenAI GPT-5 System Card

Singh, A., Fry, A., Perelman, A., Tart, A., Ganesh, A., El-Kishky, A., McLaughlin, A., Low, A., Ostrow, A., Ananthram, A., et al. (2026) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 26

Fine-tuning Language Models for Factuality

Tian, K., Mitchell, E., Yao, H., Manning, C. D., & Finn, C. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 14

Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback

Tian, K., Mitchell, E., Zhou, A., Sharma, A., Rafailov, R., Yao, H., Finn, C., & Manning, C. D. (2023) · arXiv

Topic ModelingAdversarial Robustness in Machine Learning

Cited by 5