Barnes, Elizabeth

Evaluating Large Language Models Trained on Code

Chen, M., Tworek, J., Jun, H., Yuan, Q., Pinto, H. P. D. O., Kaplan, J., Edwards, H., Burda, Y., Joseph, N., Brockman, G., et al. (2021) · arXiv

Software Engineering ResearchNatural Language Processing Techniques

Cited by 1,436

The Minority Body: A Theory of Disability

Barnes, E. (2016)

Disability Rights and RepresentationFeminist Epistemology and Gender Studies

Cited by 596

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models

Srivastava, A., Rastogi, A., Rao, A., Shoeb, A. A. M., Abid, A., Fisch, A., Brown, A. R., Santoro, A., Gupta, A., Garriga-Alonso, A., et al. (2022) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 569

Towards neural Earth system modelling by integrating artificial intelligence in Earth system science

Irrgang, C., Boers, N., Sonnewald, M., Barnes, E. A., Kadow, C., Staneva, J., & Saynisch-Wagner, J. (2021) · Nature Machine Intelligence

Climate variability and modelsMeteorological Phenomena and Simulations

Cited by 308

Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims

Brundage, M., Avin, S., Wang, J., Belfield, H., Krueger, G., Hadfield, G., Khlaaf, H., Yang, J., Toner, H., Fong, R., et al. (2020) · arXiv

Ethics and Social Impacts of AISafety Systems Engineering in Autonomy

Cited by 306

RE-Bench: Evaluating frontier AI R&D capabilities of language model agents against human experts

Wijk, H., Lin, T., Becker, J., Jawhar, S., Parikh, N., Broadley, T., Chan, L., Chen, M., Clymer, J., Dhyani, J., et al. (2024) · arXiv

Artificial Intelligence ApplicationsAI-based Problem Solving and Planning

Cited by 187

Viewing forced climate patterns through an AI Lens

Barnes, E. A., Hurrell, J. W., Ebert‐Uphoff, I., Anderson, C., & Anderson, D. (2019) · Geophysical Research Letters

Climate variability and modelsMeteorological Phenomena and Simulations

Cited by 179

Speed of environmental change frames relative ecological risk in climate change and climate intervention scenarios

Hueholt, D. M., Barnes, E. A., Hurrell, J. W., & Morrison, A. L. (2024) · Nature Communications

Climate Change and GeoengineeringClimate variability and models

Cited by 23

Measuring the Impact of Early-2025 AI on Experienced Open-Source Developer Productivity

Becker, J., Rush, N., Barnes, E., & Rein, D. (2025) · arXiv

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 16

Evaluating Language-Model Agents on Realistic Autonomous Tasks

Kinniment, M., Sato, L. J. K., Du, H., Goodrich, B., Hasin, M., Chan, L., Miles, L. H., Lin, T. R., Wijk, H., Burget, J., et al. (2023) · arXiv

Ethics and Social Impacts of AIPsychiatry, Mental Health, Neuroscience

Cited by 15

HCAST: Human-Calibrated Autonomy Software Tasks

Rein, D., Becker, J., Deng, A., Nix, S., Canal, C., O'Connel, D., Arnott, P., Bloom, R., Broadley, T., Garcia, K., et al. (2025) · arXiv

Artificial Intelligence ApplicationsEthics and Social Impacts of AI

Cited by 0