Severyn, Aliaksei

Gemini: A Family of Highly Capable Multimodal Models

Gemini Team, Anil, R., Borgeaud, S., Alayrac, J.-B., Yu, J., Soricut, R., Schalkwyk, J., Dai, A. M., Hauth, A., Millican, K., et al. (2023) · arXiv

Multimodal Machine Learning ApplicationsTopic Modeling

Cited by 990

Gemma 2: Improving Open Language Models at a Practical Size

Gemma Team, Riviere, M., Pathak, S., Sessa, P. G., Hardin, C., Bhupatiraju, S., Hussenot, L., Mesnard, T., Shahriari, B., Ramé, A., et al. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 149

Teaching Small Language Models to Reason

Magister, L. C., Mallinson, J., Adamek, J., Malmi, E., & Severyn, A. (2023) · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)

Topic ModelingNatural Language Processing Techniques

Cited by 127

Gemma 4 Technical Report

Gemma Team, Abd, S. E., Aggarwal, V., Algayres, R., Andreev, A., Bachem, O., Ballantyne, I., Brick, C., Cărbune, V., Casbon, M., et al. (2026) · arXiv

Multimodal Machine Learning ApplicationsTopic Modeling

Cited by 112

On Accurate Evaluation of GANs for Language Generation

Semeniuta, S., Severyn, A., & Gelly, S. (2018) · arXiv

Topic ModelingGenerative Adversarial Networks and Image Synthesis

Cited by 76

Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Comanici, G., Bieber, E., Schaekermann, M., Pasupat, I., Sachdeva, N., Dhillon, I., Blistein, M., Ram, O., Zhang, D., Rosen, E., et al. (2025) · arXiv

Multimodal Machine Learning ApplicationsTopic Modeling

Cited by 69

Using Audio Transformations to Improve Comprehension in Voice Question Answering

Chuklin, A., Severyn, A., Trippas, J. R., Alfonseca, E., Silen, H., & Spina, D. (2019) · Lecture Notes in Computer Science

Speech and dialogue systemsSpeech Recognition and Synthesis

Cited by 16

Teaching Small Language Models to Reason

Magister, L. C., Mallinson, J., Adamek, J., Malmi, E., & Severyn, A. (2022) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 7

BOND: Aligning LLMs with Best-of-N Distillation

Sessa, P. G., Dadashi, R., Hussenot, L., Ferret, J., Vieillard, N., Ramé, A., Shariari, B., Perrin, S., Friesen, A., Cideron, G., et al. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 1