Khlaaf, Heidy

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

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

A Hazard Analysis Framework for Code Synthesis Large Language Models

Khlaaf, H., Mishkin, P., Achiam, J., Krueger, G., & Brundage, M. (2022) · arXiv

Software Engineering ResearchEthics and Social Impacts of AI

Cited by 23

Disruptive Innovations and Disruptive Assurance: Assuring Machine Learning and Autonomy

Bloomfield, R., Khlaaf, H., Ryan Conmy, P., & Fletcher, G. (2019) · Computer

Safety Systems Engineering in AutonomyExplainable Artificial Intelligence (XAI)

Cited by 23