Documents publiés en "2025"

Abbes, I., Prato, G., Fournier, Q., Rodriguez, F., Boukhary, A., Elwood, A., & Anbil Parthipan, S. C. (juillet 2025). Small Encoders Can Rival Large Decoders in Detecting Groundedness [Communication écrite]. Findings of the Association for Computational Linguistics (ACL 2025), Vienna, Austria. Lien externe

Malviya, P., Huang, J., Baratin, A., Fournier, Q., & Anbil Parthipan, S. C. (août 2025). Manifold metric: a loss landscape approach for predicting model performance [Communication écrite]. 4th Conference on Lifelong Learning Agents (CoLLAs 2025), Philadelphia, PA, USA. Publié dans Proceedings of Machine Learning Research, 330. Lien externe

Thakkar, M., Fournier, Q., Riemer, M., Chen, P.-Y., Zouaq, A., Das, P., & Anbil Parthipan, S. C. (juillet 2025). Combining Domain and Alignment Vectors Provides Better Knowledge-Safety Trade-offs in LLMs [Communication écrite]. 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025), Vienna, Austria. Lien externe