Mark Rofin

According to our database, Mark Rofin authored at least 7 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

(How) Learning Rates Regulate Catastrophic Overtraining.

Mark Rofin, Aditya Varre, Nicolas Flammarion

CoRR, April, 2026

Understanding the Emergence of Seemingly Useless Features in Next-Token Predictors.

Mark Rofin, Jalal Naghiyev, Michael Hahn

CoRR, March, 2026

Gradient Flow Polarizes Softmax Outputs towards Low-Entropy Solutions.

Aditya Varre, Mark Rofin, Nicolas Flammarion

CoRR, March, 2026

2025

Lower Bounds for Chain-of-Thought Reasoning in Hard-Attention Transformers.

Alireza Amiri Bavandpour, Xinting Huang, Mark Rofin, Michael Hahn

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

Why are Sensitive Functions Hard for Transformers?

Michael Hahn, Mark Rofin

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Vote'n'Rank: Revision of Benchmarking with Social Choice Theory.

Mark Rofin, Vladislav Mikhailov, Mikhail Florinsky, Andrey Kravchenko, Tatiana Shavrina, Elena Tutubalina, Daniel Karabekyan, Ekaterina Artemova

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

2022

Linear Interpolation In Parameter Space is Good Enough for Fine-Tuned Language Models.

Mark Rofin, Nikita Balagansky, Daniil Gavrilov

CoRR, 2022