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Rochelle Choenni
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2020 – today
- 2024
- [c10]Xiaoyu Tong, Rochelle Choenni, Martha Lewis, Ekaterina Shutova:
Metaphor Understanding Challenge Dataset for LLMs. ACL (1) 2024: 3517-3536 - [c9]Rochelle Choenni, Anne Lauscher, Ekaterina Shutova:
The Echoes of Multilinguality: Tracing Cultural Value Shifts during Language Model Fine-tuning. ACL (1) 2024: 15042-15058 - [c8]Marlene Lutz, Rochelle Choenni, Markus Strohmaier, Anne Lauscher:
Local Contrastive Editing of Gender Stereotypes. EMNLP 2024: 21474-21493 - [c7]Rochelle Choenni, Ekaterina Shutova, Dan Garrette:
Examining Modularity in Multilingual LMs via Language-Specialized Subnetworks. NAACL-HLT (Findings) 2024: 287-301 - [i16]Xiaoyu Tong, Rochelle Choenni, Martha Lewis
, Ekaterina Shutova:
Metaphor Understanding Challenge Dataset for LLMs. CoRR abs/2403.11810 (2024) - [i15]Rochelle Choenni, Anne Lauscher
, Ekaterina Shutova:
The Echoes of Multilinguality: Tracing Cultural Value Shifts during LM Fine-tuning. CoRR abs/2405.12744 (2024) - [i14]Rochelle Choenni, Sara Rajaee, Christof Monz, Ekaterina Shutova:
On the Evaluation Practices in Multilingual NLP: Can Machine Translation Offer an Alternative to Human Translations? CoRR abs/2406.14267 (2024) - [i13]Rochelle Choenni, Ekaterina Shutova:
Self-Alignment: Improving Alignment of Cultural Values in LLMs via In-Context Learning. CoRR abs/2408.16482 (2024) - [i12]Marlene Lutz, Rochelle Choenni, Markus Strohmaier, Anne Lauscher
:
Local Contrastive Editing of Gender Stereotypes. CoRR abs/2410.17739 (2024) - 2023
- [j3]Rochelle Choenni, Dan Garrette, Ekaterina Shutova:
Cross-Lingual Transfer with Language-Specific Subnetworks for Low-Resource Dependency Parsing. Comput. Linguistics 49(3): 613-641 (2023) - [c6]Giulio Starace, Konstantinos Papakostas, Rochelle Choenni, Apostolos Panagiotopoulos, Matteo Rosati
, Alina Leidinger
, Ekaterina Shutova:
Probing LLMs for Joint Encoding of Linguistic Categories. EMNLP (Findings) 2023: 7158-7179 - [c5]Rochelle Choenni, Dan Garrette, Ekaterina Shutova:
How do languages influence each other? Studying cross-lingual data sharing during LM fine-tuning. EMNLP 2023: 13244-13257 - [i11]Rochelle Choenni, Dan Garrette, Ekaterina Shutova:
How do languages influence each other? Studying cross-lingual data sharing during LLM fine-tuning. CoRR abs/2305.13286 (2023) - [i10]Giulio Starace, Konstantinos Papakostas
, Rochelle Choenni, Apostolos Panagiotopoulos, Matteo Rosati, Alina Leidinger, Ekaterina Shutova:
Probing LLMs for Joint Encoding of Linguistic Categories. CoRR abs/2310.18696 (2023) - [i9]Claire E. Stevenson
, Mathilde ter Veen, Rochelle Choenni, Han L. J. van der Maas
, Ekaterina Shutova:
Do large language models solve verbal analogies like children do? CoRR abs/2310.20384 (2023) - [i8]Rochelle Choenni, Ekaterina Shutova, Dan Garrette:
Examining Modularity in Multilingual LMs via Language-Specialized Subnetworks. CoRR abs/2311.08273 (2023) - 2022
- [j2]Rochelle Choenni, Ekaterina Shutova:
Investigating Language Relationships in Multilingual Sentence Encoders Through the Lens of Linguistic Typology. Comput. Linguistics 48(3): 635-672 (2022) - [i7]Rochelle Choenni, Dan Garrette, Ekaterina Shutova:
Data-Efficient Cross-Lingual Transfer with Language-Specific Subnetworks. CoRR abs/2211.00106 (2022) - 2021
- [c4]Rochelle Choenni, Ekaterina Shutova, Robert van Rooij:
Stepmothers are mean and academics are pretentious: What do pretrained language models learn about you? EMNLP (1) 2021: 1477-1491 - [i6]Rochelle Choenni, Ekaterina Shutova, Robert van Rooij:
Stepmothers are mean and academics are pretentious: What do pretrained language models learn about you? CoRR abs/2109.10052 (2021) - 2020
- [j1]Lisa Beinborn, Rochelle Choenni:
Semantic Drift in Multilingual Representations. Comput. Linguistics 46(3): 571-603 (2020) - [i5]Rochelle Choenni, Ekaterina Shutova:
What does it mean to be language-agnostic? Probing multilingual sentence encoders for typological properties. CoRR abs/2009.12862 (2020) - [i4]Rochelle Choenni, Ekaterina Shutova:
Cross-neutralising: Probing for joint encoding of linguistic information in multilingual models. CoRR abs/2010.12825 (2020)
2010 – 2019
- 2019
- [c3]Samira Abnar, Lisa Beinborn, Rochelle Choenni, Willem H. Zuidema:
Blackbox Meets Blackbox: Representational Similarity & Stability Analysis of Neural Language Models and Brains. BlackboxNLP@ACL 2019: 191-203 - [c2]Lisa Beinborn, Samira Abnar, Rochelle Choenni:
Robust Evaluation of Language-Brain Encoding Experiments. CICLing (1) 2019: 44-61 - [i3]Lisa Beinborn, Samira Abnar, Rochelle Choenni:
Robust Evaluation of Language-Brain Encoding Experiments. CoRR abs/1904.02547 (2019) - [i2]Lisa Beinborn, Rochelle Choenni:
Semantic Drift in Multilingual Representations. CoRR abs/1904.10820 (2019) - [i1]Samira Abnar, Lisa Beinborn, Rochelle Choenni, Willem H. Zuidema:
Blackbox meets blackbox: Representational Similarity and Stability Analysis of Neural Language Models and Brains. CoRR abs/1906.01539 (2019) - 2018
- [c1]Sunil Choenni, Niels Netten, Mortaza Shoae-Bargh, Rochelle Choenni:
On the Usability of Big (Social) Data. ISPA/IUCC/BDCloud/SocialCom/SustainCom 2018: 1167-1174
Coauthor Index

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last updated on 2025-03-04 21:13 CET by the dblp team
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