Vered Shwartz
Appointment
Canada CIFAR AI Chair
Solution Network Member
Canadian AI Safety Institute Research Program
Pan-Canadian AI Strategy
Safeguarding Courts from Synthetic AI Content
About
Vered Shwartz is a Canada CIFAR AI Chair and a Solution Network Member. She has been conducting research in natural language processing (NLP) for over a decade and has published over 40 papers in top-tier NLP conferences and journals, which have been cited over 3,500 times. Her research is currently focused on testing and improving the capabilities of large language models and vision and language models, developing culturally competent AI, and responsible NLP applications in sensitive domains such as healthcare and law.
Awards
- Outstanding Paper Award, Workshop on Social Influence in Conversations at the Annual Conference of the Association for Computation Linguistics (2025)
- CIFAR AI Chair, Canadian Institute for Advanced Research (2022)
- Schmidt Postdoc Award, Schmidt Sciences (2019)
Relevant Publications
- Taranukhin, M., Ravi, S., Lukács, G., Milios, E., & Shwartz, V. (2024, November). Empowering Air Travelers: A Chatbot for Canadian Air Passenger Rights. In Natural Legal Language Processing Workshop 2024 (Vol. 2024, pp. 326-335).
- Shapira, N., Levy, M., Alavi, S. H., Zhou, X., Choi, Y., Goldberg, Y., ... & Shwartz, V. (2024, March). Clever Hans or Neural Theory of Mind? Stress Testing Social Reasoning in Large Language Models. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers) (pp. 2257-2273).
- Samir, F., Park, C. Y., Field, A., Shwartz, V., & Tsvetkov, Y. (2024, November). Locating Information Gaps and Narrative Inconsistencies Across Languages: A Case Study of LGBT People Portrayals on Wikipedia. In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (pp. 6747-6762).
- Rudinger, R., Shwartz, V., Hwang, J. D., Bhagavatula, C., Forbes, M., Le Bras, R., ... & Choi, Y. (2020, November). Thinking like a skeptic: Defeasible inference in natural language. In Findings of the Association for Computational Linguistics: EMNLP 2020 (pp. 4661-4675).
- Shwartz, V., West, P., Le Bras, R., Bhagavatula, C., & Choi, Y. (2020, November). Unsupervised Commonsense Question Answering with Self-Talk. In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) (pp. 4615-4629).