Yandex Research in 2024
In 2024, Yandex Research has evolved into several dedicated research groups, each focused on a specific scientific area: Generative Computer Vision, Efficient Large Language Models (LLMs), Graph Neural Networks, and Tabular Deep Learning.
We presented 17 papers at major conferences, including NeurIPS, ICLR, ICML, CVPR, and ACL. Several papers were co-authored with researchers from prominent global institutions, including IST Austria, KAUST Saudi Arabia, Carnegie Mellon University, Meta AI, and Together AI.
Two significant projects stood out this year. The first is the development of AQLM, a compression method for large language models that we created in collaboration with colleagues from IST Austria.
The second is our contribution to YandexART, a model that generates images from text. This project was a joint effort with our colleagues in Computer Vision. In 2024, YandexART significantly improved its image generation and now ranks globally among the top text-to-image models.
Looking ahead, we will continue raising the bar for scientific excellence and expand our expertise to new areas of machine learning. With our growing team of 30 researchers and ML residents, we are committed to advancing machine learning worldwide.