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Madsen, A., Anbil Parthipan, S. C., & Reddy, S. (août 2024). Are self-explanations from Large Language Models faithful? [Communication écrite]. 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024), Hybrid, Bangkok, Thailand. Lien externe
Madsen, A., Reddy, S., & Anbil Parthipan, S. C. (juillet 2024). Faithfulness Measurable Masked Language Models [Communication écrite]. 41st International Conference on Machine Learning (ICML 2024), Vienna, Austria. Lien externe
Mordido, G., Malviya, P., Baratin, A., & Anbil Parthipan, S. C. (juillet 2024). Lookbehind-SAM: k Steps Back, 1 Step Forward [Communication écrite]. 41st International Conference on Machine Learning (ICML 2024), Vienna, Austria. Lien externe
Olewicki, D., Habchi, S., Nayrolles, M., Faramarzi, M., Anbil Parthipan, S. C., & Adams, B. (avril 2024). On the Costs and Benefits of Adopting Lifelong Learning for Software Analytics - Empirical Study on Brown Build and Risk Prediction [Communication écrite]. 46th International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP 2024), Lisbon, Portugal. Lien externe
Zayed, A., Mordido, G., Baldini, I., & Anbil Parthipan, S. C. (août 2024). Why Don't Prompt-Based Fairness Metrics Correlate? [Communication écrite]. 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024), Bangkok, Thailand. Lien externe
