Publications

You can also find my articles on Semantic Scholar.

Phillip Rust, Bowen Shi, Skyler Wang, Necati Cihan Camgöz, Jean Maillard (2024). Towards Privacy-Aware Sign Language Translation at Scale. ACL 2024 (to appear) .

Nadav Borenstein, Phillip Rust, Desmond Elliott, Isabelle Augenstein (2023). PHD: Pixel-Based Language Modeling of Historical Documents. In EMNLP 2023.

Jonas F. Lotz, Elizabeth Salesky, Phillip Rust, Desmond Elliott (2023). Text Rendering Strategies for Pixel Language Models. In EMNLP 2023.

Phillip Rust, Jonas F. Lotz, Emanuele Bugliarello, Elizabeth Salesky, Miryam de Lhoneux, Desmond Elliott (2023). Language Modelling with Pixels. In ICLR 2023 (notable-top-5%).

Phillip Rust, Anders Søgaard (2023). Differential Privacy, Linguistic Fairness, and Training Data Influence: Impossibility and Possibility Theorems for Multilingual Language Models. In ICML 2023.

Laura Cabello Piqueras*, Constanza Fierro*, Jonas F. Lotz*, Phillip Rust*, Joen Rommedahl, Jeppe Klok Due, Christian Igel, Desmond Elliott, Carsten B. Pedersen, Israfel Salazar, Anders Søgaard (2022). Date Recognition in Historical Parish Records. In Frontiers in Handwriting Recognition (ICFHR) 2022.

Daniel Hershcovich, Stella Frank, Heather Lent, Miryam de Lhoneux, Mostafa Abdou, Stephanie Brandl, Emanuele Bugliarello, Laura Cabello Piqueras, Ilias Chalkidis, Ruixiang Cui, Constanza Fierro, Katerina Margatina, Phillip Rust, Anders Søgaard (2022). Challenges and Strategies in Cross-Cultural NLP. In ACL 2022.

Phillip Rust*, Jonas Pfeiffer*, Ivan Vulić, Sebastian Ruder, Iryna Gurevych (2021). How Good is Your Tokenizer? On the Monolingual Performance of Multilingual Language Models. In ACL 2021.

Gözde Gül Şahin, Yova Kementchedjhieva, Phillip Rust, Iryna Gurevych (2020). PuzzLing Machines: A Challenge on Learning From Small Data. In ACL 2020.