ShefCDTeam at SemEval-2024 Task 4: A Text-to-Text Model for Multi-Label Classification
Meredith Gibbons, Maggie Mi, Xingyi Song, and Aline Villavicencio. 2024. ShefCDTeam at SemEval-2024 Task 4: A Text-to-Text Model for Multi-Label Classification. In Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024)<\em>, pages 1860–1867, Mexico City, Mexico. Association for Computational Linguistics.</p> </li> </article> </div> Dylan Phelps, Thomas M. R. Pickard, Maggie Mi, Edward Gow-Smith, and Aline Villavicencio. 2024. Sign of the Times: Evaluating the use of Large Language Models for Idiomaticity Detection. In Proceedings of the Joint Workshop on Multiword Expressions and Universal Dependencies (MWE-UD) @ LREC-COLING 2024<\em>, pages 178–187, Torino, Italia. ELRA and ICCL.</p> </li> </article> </div> Your Name, You. (2024). "Paper Title Number 3." GitHub Journal of Bugs. 1(3). Maggie Mi. 2023. Mmi01 at The BabyLM Challenge: Linguistically Motivated Curriculum Learning for Pretraining in Low-Resource Settings. In Proceedings of the BabyLM Challenge at the 27th Conference on Computational Natural Language Learning, pages 269–278, Singapore. Association for Computational Linguistics. Conference proceedings talk at Testing Institute of America 2014 Annual Conference, Los Angeles, CA Talk at London School of Testing, London, UK Tutorial at UC-Berkeley Institute for Testing Science, Berkeley CA, USA Talk at UC San Francisco, Department of Testing, San Francisco, California Sign of the Times: Evaluating the use of Large Language Models for Idiomaticity Detection
Paper Title Number 4
Mmi01 at The BabyLM Challenge: Linguistically Motivated Curriculum Learning for Pretraining in Low-Resource Settings
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