| 2026 | EACL | Best-of-L: Cross-Lingual Reward Modeling for Mathematical Reasoning. | Sara Rajaee, Rochelle Choenni, Ekaterina Shutova, Christof Monz |
| 2026 | EACL | Finding Culture-Sensitive Neurons in Vision-Language Models. | Xiutian Zhao, Rochelle Choenni, Rohit Saxena, Ivan Titov |
| 2025 | EMNLP | M-Wanda: Improving One-Shot Pruning for Multilingual LLMs. | Rochelle Choenni, Ivan Titov |
| 2024 | ACL | The Echoes of Multilinguality: Tracing Cultural Value Shifts during Language Model Fine-tuning. | Rochelle Choenni, Anne Lauscher, Ekaterina Shutova |
| 2024 | ACL | Metaphor Understanding Challenge Dataset for LLMs. | Xiaoyu Tong, Rochelle Choenni, Martha Lewis, Ekaterina Shutova |
| 2024 | CogSci | Language Models That Accurately Represent Syntactic Structure Exhibit Higher Representational Similarity To Brain Activity. | Abraham Jacob Fresen, Rochelle Choenni, Micha Heilbron, Willem H. Zuidema, Marianne de Heer Kloots |
| 2024 | EMNLP | Local Contrastive Editing of Gender Stereotypes. | Marlene Lutz, Rochelle Choenni, Markus Strohmaier, Anne Lauscher |
| 2024 | NAACL | Examining Modularity in Multilingual LMs via Language-Specialized Subnetworks. | Rochelle Choenni, Ekaterina Shutova, Dan Garrette |
| 2023 | EMNLP | How do languages influence each other? Studying cross-lingual data sharing during LM fine-tuning. | Rochelle Choenni, Dan Garrette, Ekaterina Shutova |
| 2023 | EMNLP | Probing LLMs for Joint Encoding of Linguistic Categories. | Giulio Starace, Konstantinos Papakostas, Rochelle Choenni, Apostolos Panagiotopoulos, Matteo Rosati, Alina Leidinger, Ekaterina Shutova |
| 2021 | EMNLP | Stepmothers are mean and academics are pretentious: What do pretrained language models learn about you? | Rochelle Choenni, Ekaterina Shutova, Robert van Rooij |
| 2019 | CICLING | Robust Evaluation of Language-Brain Encoding Experiments. | Lisa Beinborn, Samira Abnar, Rochelle Choenni |
| 2018 | ISPA | On the Usability of Big (Social) Data. | Sunil Choenni, Niels Netten, Mortaza Shoae-Bargh, Rochelle Choenni |