Lozhkov, Anton

StarCoder 2 and The Stack v2: The Next Generation

Lozhkov, A., Li, R., Allal, L. B., Cassano, F., Lamy-Poirier, J., Tazi, N., Tang, A., Pykhtar, D., Liu, J., Wei, Y., et al. (2024) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 74

OBELICS: An Open Web-Scale Filtered Dataset of Interleaved Image-Text Documents

Laurençon, H., Saulnier, L., Tronchon, L., Bekman, S., Singh, A., Lozhkov, A., Wang, T., Karamcheti, S., Rush, A. M., Kiela, D., et al. (2023) · arXiv

Multimodal Machine Learning ApplicationsHandwritten Text Recognition Techniques

Cited by 72

The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale

Penedo, G., Kydlíček, H., allal, L. B., Lozhkov, A., Mitchell, M., Raffel, C., Von Werra, L., & Wolf, T. (2024) · arXiv

Topic ModelingComputational and Text Analysis Methods

Cited by 53

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