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Kazemnejad, A., Rezagholizadeh, M., Parthasarathi, P., & Chandar, S. (2023). Measuring the Knowledge Acquisition-Utilization Gap in Pretrained Language Models. Findings of the Association for Computational Linguistics: EMNLP, 4305-4319. Lien externe
Prato, G., Huang, J., Parthasarathi, P., Sodhani, S., & Chandar, S. (décembre 2023). EpiK-Eval: Evaluation for Language Models as Epistemic Models [Résumé]. Conference on Empirical Methods in Natural Language Processing, Singapore, Singapore. Lien externe
Zayed, A., Parthasarathi, P., Torcato Mordido, G. F., Palangi, H., Shabanian, S., & Anbil Parthipan, S. C. (février 2023). Deep Learning on a Healthy Data Diet: Finding Important Examples for Fairness [Communication écrite]. 37th AAAI Conference on Artificial Intelligence (AAAI 2023) and 35th Conference on Innovative Applications of Artificial Intelligence (IAAI 2023) and 13th Symposium on Educational Advances in Artificial Intelligence (EAAI 2023), Washington, DC, USA. Lien externe
