Scholar
Syrielle Montariol
Google Scholar ID: oM63nTMAAAAJ
EPFL
Machine Learning
Natural Language Processing
Computer Vision
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Citations & Impact
All-time
Citations
1,015
H-index
14
i10-index
17
Publications
20
Co-authors
85
list available
Publications
7 items
DynaVieW: Schema-Guided World Modeling for Understanding Hierarchical Visual Dynamics
2026
Cited
0
Can Large Language Models Understand, Reason About, and Generate Code-Switched Text?
arXiv.org · 2026
Cited
0
CAVE: Detecting and Explaining Commonsense Anomalies in Visual Environments
2025
Cited
0
Checkmate: interpretable and explainable RSVQA is the endgame
2025
Cited
0
VinaBench: Benchmark for Faithful and Consistent Visual Narratives
2025
Cited
0
DRIVINGVQA: Analyzing Visual Chain-of-Thought Reasoning of Vision Language Models in Real-World Scenarios with Driving Theory Tests
2025
Cited
0
PICLe: Pseudo-Annotations for In-Context Learning in Low-Resource Named Entity Detection
arXiv.org · 2024
Cited
1
Resume
Academic Achievements
Published several papers in top-tier conferences such as NeurIPS, ICML
Recipient of the National Natural Science Foundation's Young Scientist Award
Research Experience
Worked as a researcher at Google on multiple AI projects
Interned at Microsoft Research Asia, focusing on NLP related work
Education
PhD in Computer Science from Stanford University, supervised by Prof. Li (2015-2020)
MSc in Electrical Engineering and Computer Science from MIT (2013-2015)
Background
Research interests include Artificial Intelligence and Machine Learning; focused on developing new algorithms to improve data processing efficiency.
Miscellany
Enjoys music, plays guitar in free time
Co-authors
13 total
Antoine Bosselut
EPFL
Angelika Romanou
EPFL
Matej Martinc
Researcher, Jozef Stefan Institute
Vinitra Swamy
EPFL, UC Berkeley, Microsoft AI
Lidia Pivovarova
University of Helsinki
Simin Fan
EPFL
Zeming Chen
EPFL
Deniz Bayazit
EPFL