On the Usability of Big (Social) Data. - Sunil Choenni; Niels Netten; Mortaza Shoae-Bargh; Rochelle Choenni (ISPA/IUCC/BDCloud/SocialCom/SustainCom, 2018)

Blackbox Meets Blackbox: Representational Similarity & Stability Analysis of Neural Language Models and Brains. - Samira Abnar; Lisa Beinborn; Rochelle Choenni; Willem H. Zuidema (BlackboxNLP@ACL, 2019)

Robust Evaluation of Language-Brain Encoding Experiments. - Lisa Beinborn; Samira Abnar; Rochelle Choenni (CICLing (1), 2019)

Blackbox meets blackbox: Representational Similarity and Stability Analysis of Neural Language Models and Brains. - Samira Abnar; Lisa Beinborn; Rochelle Choenni; Willem H. Zuidema (CoRR, 2019)

Semantic Drift in Multilingual Representations. - Lisa Beinborn; Rochelle Choenni (Comput. Linguistics, 2020)

What does it mean to be language-agnostic? Probing multilingual sentence encoders for typological properties. - Rochelle Choenni; Ekaterina Shutova (CoRR, 2020)

Cross-neutralising: Probing for joint encoding of linguistic information in multilingual models. - Rochelle Choenni; Ekaterina Shutova (CoRR, 2020)

Stepmothers are mean and academics are pretentious: What do pretrained language models learn about you? - Rochelle Choenni; Ekaterina Shutova; Robert van Rooij (EMNLP (1), 2021)

Investigating Language Relationships in Multilingual Sentence Encoders Through the Lens of Linguistic Typology. - Rochelle Choenni; Ekaterina Shutova (Comput. Linguistics, 2022)

Data-Efficient Cross-Lingual Transfer with Language-Specific Subnetworks. - Rochelle Choenni; Dan Garrette; Ekaterina Shutova (CoRR, 2022)

How do languages influence each other? Studying cross-lingual data sharing during LM fine-tuning. - Rochelle Choenni; Dan Garrette; Ekaterina Shutova (EMNLP, 2023)

Probing LLMs for Joint Encoding of Linguistic Categories. - Giulio Starace; Konstantinos Papakostas; Rochelle Choenni; Apostolos Panagiotopoulos; Matteo Rosati; Alina Leidinger; Ekaterina Shutova (EMNLP (Findings), 2023)

How do languages influence each other? Studying cross-lingual data sharing during LLM fine-tuning. - Rochelle Choenni; Dan Garrette; Ekaterina Shutova (CoRR, 2023)

Do large language models solve verbal analogies like children do? - Claire E. Stevenson; Mathilde ter Veen; Rochelle Choenni; Han L. J. van der Maas; Ekaterina Shutova (CoRR, 2023)

Cross-Lingual Transfer with Language-Specific Subnetworks for Low-Resource Dependency Parsing. - Rochelle Choenni; Dan Garrette; Ekaterina Shutova (Comput. Linguistics, 2023)

The Echoes of Multilinguality: Tracing Cultural Value Shifts during Language Model Fine-tuning. - Rochelle Choenni; Anne Lauscher; Ekaterina Shutova (ACL (1), 2024)

Metaphor Understanding Challenge Dataset for LLMs. - Xiaoyu Tong; Rochelle Choenni; Martha Lewis; Ekaterina Shutova (ACL (1), 2024)

Local Contrastive Editing of Gender Stereotypes. - Marlene Lutz; Rochelle Choenni; Markus Strohmaier; Anne Lauscher (EMNLP, 2024)

Examining Modularity in Multilingual LMs via Language-Specialized Subnetworks. - Rochelle Choenni; Ekaterina Shutova; Dan Garrette (NAACL-HLT (Findings), 2024)

The Echoes of Multilinguality: Tracing Cultural Value Shifts during LM Fine-tuning. - Rochelle Choenni; Anne Lauscher; Ekaterina Shutova (CoRR, 2024)

On the Evaluation Practices in Multilingual NLP: Can Machine Translation Offer an Alternative to Human Translations? - Rochelle Choenni; Sara Rajaee; Christof Monz; Ekaterina Shutova (CoRR, 2024)

Self-Alignment: Improving Alignment of Cultural Values in LLMs via In-Context Learning. - Rochelle Choenni; Ekaterina Shutova (CoRR, 2024)

M-Wanda: Improving One-Shot Pruning for Multilingual LLMs. - Rochelle Choenni; Ivan Titov 001 (CoRR, 2025)