Azamat (Aza) Tulepbergenov
Personal Website: https://atulep.github.io
I am currently a machine learning software engineer at Google Research, working part-time at Google DeepMind. My main duties includes applying foundatinal AI research into practical applications in Google products.
I also have strong research background with publications at top venues, such as NeurIPS and ICLR. My research focuses on dialogue management, with specific applications in recommendation systems and, more recently, behavior change. Please visit my Google Scholar page for details.
Interests: Human-Centered Artificial Intelligence, Human-Robot Interaction, Natural Language Processing, Reinforcement Learning, Social Impact.
Research Areas
Authored Publications
Sort By
Google
Demystifying Embedding Spaces using Large Language Models
Jihwan Jeong
Lior Shani
Martin Mladenov
The Twelfth International Conference on Learning Representations (2024)
Factual and Personalized Recommendation Language Modeling with Reinforcement Learning
Jihwan Jeong
Mohammad Ghavamzadeh
Proceedings of the First Conference on Language Modeling (COLM-24), Philadelphia (2024)
A Mixture-of-Expert Approach to RL-based Dialogue Management
Ofir Nachum
Dhawal Gupta
Moonkyung Ryu
Mohammad Ghavamzadeh
Proceedings of the Eleventh International Conference on Learning Representations (ICLR-23), Kigali, Rwanda (2023)
Offline Reinforcement Learning for Mixture-of-Expert Dialogue Management
Dhawal Gupta
Mohammad Ghavamzadeh
Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS-23), New Orleans (2023)
