Scholar
Sai Rajeswar
Google Scholar ID: h-sqIigAAAAJ
Staff Research Scientist, Adjunct Professor, Mila, ServiceNow
Citations & Impact
Citations
3,970
H-index
17
i10-index
26
Publications
20
Co-authors
16
list available
Publications
Cited
0
Resume (English only)
Academic Achievements
- Published multiple papers, including:
- - AlignVLM: Bridging Vision and Language Latent Spaces for Multimodal Understanding (NeurIPS 2025).
- - WebMMU: A Multimodal, Multilingual Benchmark for Website Understanding & Code Generation (EMNLP 2025, Oral).
- - BigCharts-R1: Enhanced Chart Reasoning with Visual Reinforcement Finetuning (CoLM 2025).
- - UI-Vision: A Desktop-centric GUI Benchmark for Visual Perception and Interaction (ICML 2025).
- - BigDocs: An Open Dataset for Training Multimodal Models on Document and Code Tasks (ICLR 2025).
- - GenRL: Multimodal Foundation World Models for Generalist Embodied Agents (NeurIPS 2024).
- - Rendering-Aware Reinforcement Learning for Vector Graphics Generation (NeurIPS 2025).
- - StarVector: Generating Scalable Vector Graphics Code From Images And Text (CVPR 2025).
Research Experience
- Currently a Staff Research Scientist at ServiceNow, and an Adjunct Professor and core industry member at Mila Montréal. During his Ph.D., he interned as a Research Scientist at Google DeepMind.
Education
- Ph.D. from MILA, University of Montreal, supervised by Prof. Aaron Courville; Master's in Computer Science from IIT Delhi, recipient of Prof. A.K.Sinha best student award.
Background
- Research interests span broadly over generative models and reinforcement learning, with a recent focus on multimodal perception and world representations, which are key for generalist AI systems that integrate perception and action while incorporating feedback from the environment.
Miscellany
- If you are interested in his work and would like to explore fundamental research questions around these, collaborate or receive mentorship, feel free to reach out.
