Simin Fan

According to our database, Simin Fan authored at least 13 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2025

Semantic uncertainty in advanced decoding methods for LLM generation.

Darius Foodeei, Simin Fan, Martin Jaggi

CoRR, June, 2025

GRAPE: Optimize Data Mixture for Group Robust Multi-target Adaptive Pretraining.

Simin Fan, Maria Ios Glarou, Martin Jaggi

CoRR, May, 2025

NeuralGrok: Accelerate Grokking by Neural Gradient Transformation.

Xinyu Zhou, Simin Fan, Martin Jaggi, Jie Fu

CoRR, April, 2025

Task-Adaptive Pretrained Language Models via Clustered-Importance Sampling.

David Grangier, Simin Fan, Skyler Seto, Pierre Ablin

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

HyperINF: Unleashing the HyperPower of the Schulz's Method for Data Influence Estimation.

Xinyu Zhou, Simin Fan, Martin Jaggi

CoRR, 2024

Dynamic Gradient Alignment for Online Data Mixing.

Simin Fan, David Grangier, Pierre Ablin

CoRR, 2024

Could ChatGPT get an Engineering Degree? Evaluating Higher Education Vulnerability to AI Assistants.

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

CoRR, 2024

Deep Grokking: Would Deep Neural Networks Generalize Better?

Simin Fan, Razvan Pascanu, Martin Jaggi

CoRR, 2024

DOGE: Domain Reweighting with Generalization Estimation.

Simin Fan, Matteo Pagliardini, Martin Jaggi

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

MEDITRON-70B: Scaling Medical Pretraining for Large Language Models.

Zeming Chen, Alejandro Hernández-Cano, Angelika Romanou, Antoine Bonnet, Kyle Matoba, Francesco Salvi, Matteo Pagliardini, Simin Fan, Andreas Köpf, Amirkeivan Mohtashami, Alexandre Sallinen, Alireza Sakhaeirad, Vinitra Swamy, Igor Krawczuk, Deniz Bayazit, Axel Marmet, Syrielle Montariol, Mary-Anne Hartley, Martin Jaggi, Antoine Bosselut

CoRR, 2023

Irreducible Curriculum for Language Model Pretraining.

Simin Fan, Martin Jaggi

CoRR, 2023

ReadingQuizMaker: A Human-NLP Collaborative System that Supports Instructors to Design High-Quality Reading Quiz Questions.

Xinyi Lu, Simin Fan, Jessica Houghton, Lu Wang, Xu Wang

Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

2022

Towards Process-Oriented, Modular, and Versatile Question Generation that Meets Educational Needs.

Xu Wang, Simin Fan, Jessica Houghton, Lu Wang

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022