Tunstall, Lewis

Datasets: A Community Library for Natural Language Processing

Lhoest, Q., Villanova del Moral, A., Jernite, Y., Thakur, A., von Platen, P., Patil, S., Chaumond, J., Drame, M., Plu, J., Tunstall, L., et al. (2021) · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations

Natural Language Processing TechniquesTopic Modeling

Cited by 343

SmolLM2: When Smol Goes Big - Data-Centric Training of a Small Language Model

Allal, L. B., Lozhkov, A., Bakouch, E., Blázquez, G. M., Penedo, G., Tunstall, L., Marafioti, A., Kydlíček, H., Lajarín, A. P., Srivastav, V., et al. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 13

SmolVLM: Redefining small and efficient multimodal models

Marafioti, A., Zohar, O., Farré, M., Noyan, M., Bakouch, E., Cuenca, P., Zakka, C., Allal, L. B., Lozhkov, A., Tazi, N., et al. (2025) · arXiv

Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications

Cited by 11

Optimizing Test-Time Compute via Meta Reinforcement Fine-Tuning

Qu, Y., Yang, M. Y. R., Setlur, A., Tunstall, L., Beeching, E. E., Salakhutdinov, R., & Kumar, A. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0