Research
Selected Publications
P9. Early Period of Training Impacts Out-of-Distribution Generalization
CC Liu, I Gurevych
Preprint, 2024
Keywords:
P8. Are Multilingual LLMs Culturally-Diverse Reasoners? An Investigation into Multicultural Proverbs and Sayings
CC Liu, F Koto, T Baldwin, I Gurevych
To appear Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT), 2024.
Keywords:
P7. Improving Generalization of Adapter-Based Cross-lingual Transfer with Scheduled Unfreezing
CC Liu, J Pfeiffer, I Vulić, I Gurevych
To appear Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT), 2024.
Keywords:
P6. Delving Deeper into Cross-lingual Visual Question Answering
CC Liu, J Pfeiffer, A Korhonen, I Vulić, I Gurevych
Published in Conference of the European Chapter of the Association for Computational Linguistics (EACL), Findings, 2023.
Keywords:
P5. One does not fit all! On the Complementarity of Vision Encoders for Vision and Language Tasks
G Geigle, CC Liu, J Pfeiffer, I Gurevych
Published in the 8th Workshop on Representation Learning for NLP (RepL4NLP@ACL), 2023.
Keywords:
P4. FigMemes: A Dataset for Figurative Language Identification in Politically-Opinionated Memes
CC Liu *, G Geigle *, R Krebs, I Gurevych
Published in Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022.
Keywords:
P3. An Architecture for Accelerated Large-Scale Inference of Transformer-Based Language Models
A Ganiev, C Chapin, A De Andrade, C Liu
Published in Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT), Industry Track, 2021.
Keywords:
P2. DENS: A dataset for multi-class emotion analysis
C Liu, M Osama, A De Andrade
Published in Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2019.
Keywords:
P1. Probabilistic Siamese Networks for Learning Representations
C Liu
Master’s thesis, University of Toronto, 2013.
Keywords:
Services
S5. Reviewer for ACL/EMNLP/ARR/NeurIPs/ICLR/ICML
S4. Toronto Women in Data Science Conference, Invited Mentor, 2019
S3. Google Go North Conference, Invited Mentor, 2017
S2. ECE Department Annual Graduate Students Conference, University of Toronto, Organizer, 2012
S1. Graduate Student Union, University of Toronto, Student Representative, 2012, 2013
Invited Talks
T2. Toronto Women in Data Science Conference, Invited Talk, 2019
T1. Vector Institute Endless Summer School, Invited Talk, 2018