Scalable and Robust Representation Learning in Large output Spaces

Large Language Model as a Teacher for Zero-shot Tagging at Extreme Scales
Zhang, J., Ullah, N. & Babbar, R., 2025, The 31st International Conference on Computational Linguistics (COLING 2025). Rambow, O., Wanner, L., Apidianaki, M., Al-Khalifa, H., Di Eugenio, B. & Schockaert, S. (eds.). Association for Computational Linguistics, p. 3465-3478 14 p. (International Conference on Computational Linguistics; vol. Part F206484-1).
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Navigating Extremes: Dynamic Sparsity in Large Output Spaces
Ullah, N., Schultheis, E., Lasby, M., Ioannou, Y. & Babbar, R., 2025, Advances in Neural Information Processing Systems 37 (NeurIPS 2024). Globerson, A., Mackey, L., Belgrave, D., Fan, A., Paquet, U., Tomczak, J. & Zhang, C. (eds.). Curran Associates Inc., 27 p. (Advances in Neural Information Processing Systems; vol. 37).
Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

Open Access
A General Online Algorithm for Optimizing Complex Performance Metrics
Kotłowski, W., Wydmuch, M., Schultheis, E., Babbar, R. & Dembczyński, K., 2024, In: Proceedings of Machine Learning Research. 235, p. 25396-25425 30 p.
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