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ORCIDJibril Frej
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2020 – today
- 2024
[c15]Aybars Yazici
, Paola Mejia-Domenzain, Jibril Frej, Tanja Käser:
GELEX: Generative AI-Hybrid System for Example-Based Learning. CHI Extended Abstracts 2024: 171:1-171:10- [c14]Tanya Nazaretsky, Paola Mejia-Domenzain, Vinitra Swamy, Jibril Frej, Tanja Käser:
AI or Human? Evaluating Student Feedback Perceptions in Higher Education. EC-TEL (1) 2024: 284-298 - [c13]Elena Grazia Gado, Tommaso Martorella, Luca Zunino, Paola Mejia-Domenzain, Vinitra Swamy, Jibril Frej, Tanja Käser:
Student Answer Forecasting: Transformer-Driven Answer Choice Prediction for Language Learning. EDM 2024 - [c12]Jibril Frej, Neel Shah, Marta Knezevic, Tanya Nazaretsky, Tanja Käser:
Finding Paths for Explainable MOOC Recommendation: A Learner Perspective. LAK 2024: 426-437 - [c11]Jibril Frej, Anna Dai, Syrielle Montariol, Antoine Bosselut, Tanja Käser:
Course Recommender Systems Need to Consider the Job Market. SIGIR 2024: 522-532 - [i13]Vinitra Swamy, Julian Blackwell, Jibril Frej, Martin Jaggi, Tanja Käser:
InterpretCC: Conditional Computation for Inherently Interpretable Neural Networks. CoRR abs/2402.02933 (2024) - [i12]Jibril Frej, Anna Dai, Syrielle Montariol, Antoine Bosselut, Tanja Käser:
Course Recommender Systems Need to Consider the Job Market. CoRR abs/2404.10876 (2024) - [i11]Elena Grazia Gado, Tommaso Martorella, Luca Zunino, Paola Mejia-Domenzain, Vinitra Swamy, Jibril Frej, Tanja Käser:
Student Answer Forecasting: Transformer-Driven Answer Choice Prediction for Language Learning. CoRR abs/2405.20079 (2024) - [i10]Jibril Frej, Marta Knezevic, Tanja Käser:
Graph Reasoning for Explainable Cold Start Recommendation. CoRR abs/2406.07420 (2024) - [i9]Beatriz Borges, Negar Foroutan, Deniz Bayazit, Anna Sotnikova, Syrielle Montariol, Tanya Nazaretzky, Mohammadreza Banaei, Alireza Sakhaeirad, Philippe Servant, Seyed Parsa Neshaei, Jibril Frej, Angelika Romanou, Gail Weiss, Sepideh Mamooler, Zeming Chen, Simin Fan, Silin Gao, Mete Ismayilzada, Debjit Paul, Alexandre Schöpfer, Andrej Janchevski, Anja Tiede, Clarence Linden, Emanuele Troiani, Francesco Salvi, Freya Behrens, Giacomo Orsi, Giovanni Piccioli, Hadrien Sevel, Louis Coulon, Manuela Pineros-Rodriguez, Marin Bonnassies, Pierre Hellich, Puck van Gerwen, Sankalp Gambhir, Solal Pirelli, Thomas Blanchard, Timothée Callens, Toni Abi Aoun, Yannick Calvino Alonso, Yuri Cho, Alberto Silvio Chiappa, Antonio Sclocchi, Étienne Bruno, Florian Hofhammer, Gabriel Pescia, Geovani Rizk, Leello Dadi, Lucas Stoffl, Manoel Horta Ribeiro, Matthieu Bovel, Yueyang Pan, Aleksandra Radenovic, Alexandre Alahi, Alexander Mathis, Anne-Florence Bitbol, Boi Faltings, Cécile Hébert, Devis Tuia, François Maréchal, George Candea, Giuseppe Carleo, Jean-Cédric Chappelier, Nicolas Flammarion, Jean-Marie Fürbringer, Jean-Philippe Pellet, Karl Aberer, Lenka Zdeborová, Marcel Salathé, Martin Jaggi, Martin Rajman, Mathias Payer, Matthieu Wyart, Michael Gastpar, Michele Ceriotti, Ola Svensson, Olivier Lévêque, Paolo Ienne, Rachid Guerraoui, Robert West, Sanidhya Kashyap, Valerio Piazza, Viesturs Simanis, Viktor Kuncak, Volkan Cevher, Philippe Schwaller, Sacha Friedli, Patrick Jermann, Tanja Käser, Antoine Bosselut:
Could ChatGPT get an Engineering Degree? Evaluating Higher Education Vulnerability to AI Assistants. CoRR abs/2408.11841 (2024) - 2023
- [c10]Mohammad Asadi, Vinitra Swamy, Jibril Frej, Julien Tuan Tu Vignoud, Mirko Marras, Tanja Käser:
Ripple: Concept-Based Interpretation for Raw Time Series Models in Education. AAAI 2023: 15903-15911 - [c9]Vinitra Swamy, Malika Satayeva, Jibril Frej, Thierry Bossy, Thijs Vogels, Martin Jaggi, Tanja Käser, Mary-Anne Hartley:
MultiMoDN - Multimodal, Multi-Task, Interpretable Modular Networks. NeurIPS 2023 - [i8]Vinitra Swamy, Jibril Frej, Tanja Käser:
The future of human-centric eXplainable Artificial Intelligence (XAI) is not post-hoc explanations. CoRR abs/2307.00364 (2023) - [i7]Vinitra Swamy, Malika Satayeva, Jibril Frej, Thierry Bossy, Thijs Vogels, Martin Jaggi, Tanja Käser, Mary-Anne Hartley:
MultiModN- Multimodal, Multi-Task, Interpretable Modular Networks. CoRR abs/2309.14118 (2023) - [i6]Jibril Frej, Neel Shah, Marta Knezevic, Tanya Nazaretsky, Tanja Käser:
Finding Paths for Explainable MOOC Recommendation: A Learner Perspective. CoRR abs/2312.10082 (2023) - 2022
- [i5]Mohammad Asadi, Vinitra Swamy, Jibril Frej, Julien Tuan Tu Vignoud, Mirko Marras, Tanja Käser:
Ripple: Concept-Based Interpretation for Raw Time Series Models in Education. CoRR abs/2212.01133 (2022) - 2021
- [b1]Jibril Frej:
Incorporation de Connaissances a priori pour la Recherche d'Information Textuelle Neuronale. (Incorporation of prior Knowledge for Neural Information Retrieval on Text). Grenoble Alpes University, France, 2021 - 2020
- [c8]Jibril Frej, Didier Schwab, Jean-Pierre Chevallet:
Knowledge Based Transformer Model for Information Retrieval. CIRCLE 2020 - [c7]Jibril Frej, Didier Schwab, Jean-Pierre Chevallet:
MLWIKIR: A Python Toolkit for Building Large-scale Wikipedia-based Information Retrieval Datasets in Chinese, English, French, Italian, Japanese, Spanish and More. CIRCLE 2020 - [c6]Philippe Mulhem, Gabriela Nicole González Sáez, Aidan Mannion, Didier Schwab, Jibril Frej:
LIG-Health at Adhoc and Spoken IR Consumer Health Search: expanding queries using UMLS and FastText. CLEF (Working Notes) 2020 - [c5]Jibril Frej, Didier Schwab, Jean-Pierre Chevallet:
WIKIR: A Python Toolkit for Building a Large-scale Wikipedia-based English Information Retrieval Dataset. LREC 2020: 1926-1933 - [c4]Hang Le, Loïc Vial, Jibril Frej, Vincent Segonne, Maximin Coavoux, Benjamin Lecouteux, Alexandre Allauzen, Benoît Crabbé, Laurent Besacier, Didier Schwab:
FlauBERT: Unsupervised Language Model Pre-training for French. LREC 2020: 2479-2490 - [c3]Jibril Frej, Philippe Mulhem, Didier Schwab, Jean-Pierre Chevallet:
Learning Term Discrimination. SIGIR 2020: 1993-1996 - [c2]Hang Le, Loïc Vial, Jibril Frej, Vincent Segonne, Maximin Coavoux, Benjamin Lecouteux, Alexandre Allauzen, Benoît Crabbé, Laurent Besacier, Didier Schwab:
FlauBERT : des modèles de langue contextualisés pré-entraînés pour le français (FlauBERT : Unsupervised Language Model Pre-training for French). JEP-TALN-RECITAL (2) 2020: 268-278 - [i4]Jibril Frej, Philippe Mulhem, Didier Schwab, Jean-Pierre Chevallet:
Learning Term Discrimination. CoRR abs/2004.11759 (2020)
2010 – 2019
- 2019
- [i3]Jibril Frej, Didier Schwab, Jean-Pierre Chevallet:
WIKIR: A Python toolkit for building a large-scale Wikipedia-based English Information Retrieval Dataset. CoRR abs/1912.01901 (2019) - [i2]Hang Le, Loïc Vial, Jibril Frej, Vincent Segonne, Maximin Coavoux, Benjamin Lecouteux, Alexandre Allauzen, Benoît Crabbé, Laurent Besacier, Didier Schwab:
FlauBERT: Unsupervised Language Model Pre-training for French. CoRR abs/1912.05372 (2019) - 2018
- [c1]Jibril Frej, Philippe Mulhem, Didier Schwab, Jean-Pierre Chevallet:
Combining Subword information and Language model for Information Retrieval. CORIA 2018 - [i1]Jibril Frej, Jean-Pierre Chevallet, Didier Schwab:
Enhancing Translation Language Models with Word Embedding for Information Retrieval. CoRR abs/1801.03844 (2018)
Coauthor Index
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last updated on 2024-10-31 20:17 CET by the dblp team
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