Skip to main content

Search

Show all results for

Home

Person

Syrielle Mathilde Marie Montariol

About
Privacy
Disclaimer

Copyright © 2025 EPFL, all rights reserved

Graph Chatbot

About this result

This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.

Related publications (8)

Please note that this is not a complete list of this person’s publications. It includes only semantically relevant works. For a full list, please refer to Infoscience.

Course Recommender Systems Need to Consider the Job Market

Antoine Bosselut, Tanja Christina Käser Jacober, Syrielle Mathilde Marie Montariol, Jibril Albachir Frej

Current course recommender systems primarily leverage learner-course interactions, course content, learner preferences, and supplementary course details like instructor, institution, ratings, and reviews, to make their recommendation. However, these system ...

Association for Computing Machinery, Inc2024

Instruction-tuned LLMs with World Knowledge are More Aligned to the Human Brain

Antoine Bosselut, Martin Schrimpf, Syrielle Mathilde Marie Montariol

Instruction-tuning is a widely adopted finetuning method that enables large language models (LLMs) to generate output that more closely resembles human responses. However, no studies have shown that instruction-tuning actually teaches LLMs to process langu ...

2024

ConGeo: Robust Cross-View Geo-Localization Across Ground View Variations

Devis Tuia, Antoine Bosselut, Li Mi, Syrielle Mathilde Marie Montariol, Javiera Francisca Castillo Navarro

Cross-view geo-localization aims at localizing a ground-level query image by matching it to its corresponding geo-referenced aerial view. In real-world scenarios, the task requires accommodating diverse ground images captured by users with varying orientat ...

Springer Cham2024

Related units (1)

Courses taught by this person (1)

Natural Language Processing Lab

EPFL
IC
IINFCOM
NLP

CS-612: Topics in Natural Language Processing

This seminar course explores advanced topics in natural language processing through a mix of reading, reviewing, and writing academic papers.