Scholar
Syrielle Montariol
Google Scholar ID: oM63nTMAAAAJ
EPFL
Machine Learning
Natural Language Processing
Computer Vision
Statistics
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Citations & Impact
All-time
Citations
1,015
H-index
14
i10-index
17
Publications
20
Co-authors
85
list available
Contact
No contact links provided.
Publications
6 items
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 (English only)
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
85 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
Co-author 6
Simin Fan
EPFL
Zeming Chen
EPFL
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