Sotabase

Career

· Research Intern, Google Research2025–
· Visiting Researcher, ServiceNow Research2024–2025
· Machine Learning Research Intern, Recursion2023–
· PhD in Computer Science, McGill University2019–
· Intern, Moj Secure E-commerce Co.2018–
· Research Assistant, University of Toronto2018–
· B.Sc. in Software Engineering, Sharif University of Technology2014–2019

Publications (28)

Structure Aware Negative Sampling in Knowledge Graphs
Conference on Empirical Methods in Natural Language Processing · 2020
62
cited
BigDocs: An Open and Permissively-Licensed Dataset for Training Multimodal Models on Document and Code Tasks
arXiv.org · 2024
10
cited
WebMMU: A Benchmark for Multimodal Multilingual Website Understanding and Code Generation
Conference on Empirical Methods in Natural Language Processing · 2025
10
cited
Rendering-Aware Reinforcement Learning for Vector Graphics Generation
arXiv.org · 2025
9
cited
AlignVLM: Bridging Vision and Language Latent Spaces for Multimodal Understanding
arXiv.org · 2025
7
cited
BigDocs: An Open Dataset for Training Multimodal Models on Document and Code Tasks
2024
5
cited
FairLoRA: Unpacking Bias Mitigation in Vision Models with Fairness-Driven Low-Rank Adaptation
arXiv.org · 2024
3
cited
GPS-SSL: Guided Positive Sampling to Inject Prior Into Self-Supervised Learning
arXiv.org · 2024
3
cited
PairBench: Are Vision-Language Models Reliable at Comparing What They See?
2025
3
cited
Party Prediction for Twitter
International Conference on Web and Social Media · 2023
2
cited
Revisiting Hotels-50K and Hotel-ID
arXiv.org · 2022
2
cited
AlignVLM: Bridging Vision and Language Latent Spaces for Multimodal Document Understanding
2025
1
cited
Grounding Computer Use Agents on Human Demonstrations
arXiv.org · 2025
1
cited
PairBench: A Systematic Framework for Selecting Reliable Judge VLMs
arXiv.org · 2025
1
cited
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Aarash Feizi | Researcher Profile | Sotabase | Sotabase