Barrow, Joe

Bias and Fairness in Large Language Models: A Survey

Gallegos, I. O., Rossi, R. A., Barrow, J., Tanjim, M. M., Kim, S., Dernoncourt, F., Yu, T., Zhang, R., & Ahmed, N. K. (2024) · Computational Linguistics

Ethics and Social Impacts of AIHate Speech and Cyberbullying Detection

Cited by 1,245

AutoDAN: Interpretable Gradient-Based Adversarial Attacks on Large Language Models

Zhu, S., Zhang, R., An, B., Wu, G., Barrow, J., Wang, Z., Huang, F., Nenkova, A., & Sun, T. (2023) · arXiv

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 230

Evaluation Examples are not Equally Informative: How should that change NLP Leaderboards?

Rodriguez, P., Barrow, J., Hoyle, A. M., Lalor, J. P., Jia, R., & Boyd-Graber, J. (2021) · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)

Natural Language Processing TechniquesTopic Modeling

Cited by 47

It Takes Two to Lie: One to Lie, and One to Listen

Peskov, D., Cheng, B., Elgohary, A., Barrow, J., Danescu-Niculescu-Mizil, C., & Boyd-Graber, J. (2020) · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics

Misinformation and Its ImpactsHate Speech and Cyberbullying Detection

Cited by 30

Self-Debiasing Large Language Models: Zero-Shot Recognition and Reduction of Stereotypes

Gallegos, I. O., Rossi, R. A., Barrow, J., Tanjim, M. M., Yu, T., Deilamsalehy, H., Zhang, R., Kim, S., & Dernoncourt, F. (2024) · arXiv

Ethics and Social Impacts of AITopic Modeling

Cited by 3