Rochelle Choenni

According to our database, Rochelle Choenni authored at least 22 papers between 2018 and 2024.

Collaborative distances:

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

2024

Self-Alignment: Improving Alignment of Cultural Values in LLMs via In-Context Learning.

Rochelle Choenni, 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

The Echoes of Multilinguality: Tracing Cultural Value Shifts during LM Fine-tuning.

Rochelle Choenni, Anne Lauscher, Ekaterina Shutova

CoRR, 2024

Examining Modularity in Multilingual LMs via Language-Specialized Subnetworks.

Rochelle Choenni, Ekaterina Shutova, Dan Garrette

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

Local Contrastive Editing of Gender Stereotypes.

Marlene Lutz, Rochelle Choenni, Markus Strohmaier, Anne Lauscher

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Metaphor Understanding Challenge Dataset for LLMs.

Xiaoyu Tong, Rochelle Choenni, Martha Lewis, Ekaterina Shutova

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

The Echoes of Multilinguality: Tracing Cultural Value Shifts during Language Model Fine-tuning.

Rochelle Choenni, Anne Lauscher, Ekaterina Shutova

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

2023

Cross-Lingual Transfer with Language-Specific Subnetworks for Low-Resource Dependency Parsing.

Rochelle Choenni, Dan Garrette, Ekaterina Shutova

Comput. Linguistics, September, 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

How do languages influence each other? Studying cross-lingual data sharing during LLM fine-tuning.

Rochelle Choenni, Dan Garrette, Ekaterina Shutova

CoRR, 2023

Probing LLMs for Joint Encoding of Linguistic Categories.

Giulio Starace, Konstantinos Papakostas, Rochelle Choenni, Apostolos Panagiotopoulos, Matteo Rosati, Alina Leidinger, Ekaterina Shutova

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

How do languages influence each other? Studying cross-lingual data sharing during LM fine-tuning.

Rochelle Choenni, Dan Garrette, Ekaterina Shutova

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

Data-Efficient Cross-Lingual Transfer with Language-Specific Subnetworks.

Rochelle Choenni, Dan Garrette, Ekaterina Shutova

CoRR, 2022

Investigating Language Relationships in Multilingual Sentence Encoders Through the Lens of Linguistic Typology.

Rochelle Choenni, Ekaterina Shutova

Comput. Linguistics, 2022

2021

Stepmothers are mean and academics are pretentious: What do pretrained language models learn about you?

Rochelle Choenni, Ekaterina Shutova, Robert van Rooij

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

Cross-neutralising: Probing for joint encoding of linguistic information in multilingual models.

Rochelle Choenni, Ekaterina Shutova

CoRR, 2020

What does it mean to be language-agnostic? Probing multilingual sentence encoders for typological properties.

Rochelle Choenni, Ekaterina Shutova

CoRR, 2020

Semantic Drift in Multilingual Representations.

Lisa Beinborn, Rochelle Choenni

Comput. Linguistics, 2020

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

Robust Evaluation of Language-Brain Encoding Experiments.

Lisa Beinborn, Samira Abnar, Rochelle Choenni

Proceedings of the Computational Linguistics and Intelligent Text Processing, 2019

Blackbox Meets Blackbox: Representational Similarity & Stability Analysis of Neural Language Models and Brains.

Samira Abnar, Lisa Beinborn, Rochelle Choenni, Willem H. Zuidema

Proceedings of the 2019 ACL Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP, 2019

2018

On the Usability of Big (Social) Data.

Sunil Choenni, Niels Netten, Mortaza Shoae-Bargh, Rochelle Choenni

Proceedings of the IEEE International Conference on Parallel & Distributed Processing with Applications, 2018