Items where authors include "Mu, Y."

Article

Mu, Y., Jiao, Y., Wang, X. et al. (1 more author) (2024) Effect of support structure of Pt/silicaite-1 catalyst on non-thermal plasma (NTP) assisted chlorobenzene degradation and PCDD/Fs formation. Chemosphere, 359. 142294. ISSN 0045-6535

Mu, Y. orcid.org/0000-0002-1218-3815, Niu, P. orcid.org/0000-0002-8255-9435, Bontcheva, K. orcid.org/0000-0001-6152-9600 et al. (1 more author) (2024) Predicting and analyzing the popularity of false rumors in Weibo. Expert Systems with Applications, 243. 122791. ISSN 0957-4174

Mu, Y. and Aletras, N. orcid.org/0000-0003-4285-1965 (2020) Identifying Twitter users who repost unreliable news sources with linguistic information. PeerJ Computer Science, 6. e325. ISSN 2376-5992

Proceedings Paper

Yang, X., Mu, Y., Bontcheva, K. orcid.org/0000-0001-6152-9600 et al. (1 more author) (2024) Optimising LLM-driven machine translation with context-aware sliding windows. In: Haddow, B., Kocmi, T., Koehn, P. and Monz, C., (eds.) Proceedings of the Ninth Conference on Machine Translation. Minth Conference on Machine TRanslation (WMT24), 15-16 Nov 2024, Miami, Florida, USA. Association for Computational Linguistics , pp. 1004-1010. ISBN 979-8-89176-179-7

Mu, Y., Jin, M., Bontcheva, K. orcid.org/0000-0001-6152-9600 et al. (1 more author) (2024) Examining temporalities on stance detection towards COVID-19 vaccination. In: Calzolari, N., Kan, M-Y., Hoste, .V, Sakti, S. and Xue, N., (eds.) 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, LREC-COLING 2024 - Main Conference Proceedings. 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), 20-25 May 2024, Torino, Italy. ELRA and ICCL , pp. 6732-6738. ISBN 978-2-493814-10-4

Mu, Y., Song, X. orcid.org/0000-0002-4188-6974, Bontcheva, K. orcid.org/0000-0001-6152-9600 et al. (1 more author) (2024) Examining the limitations of computational rumor detection models trained on static datasets. In: Calzolari, N., Kan, M-Y., Hoste, V., Lenci, A., Sakti, S. and Xue, N., (eds.) 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, LREC-COLING 2024 - Main Conference Proceedings. 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), 20-25 May 2024, Torino, Italy. ELRA and ICCL , pp. 6739-6751. ISBN 978-2-493814-10-4

Mu, Y., Dong, C., Bontcheva, K. orcid.org/0000-0001-6152-9600 et al. (1 more author) (2024) Large language models offer an alternative to the traditional approach of topic modelling. In: Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024). 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), 20-25 May 2024, Torino, Italy. ELRA and ICCL , pp. 10160-10171. ISBN 978-2-493814-10-4

Mu, Y., Wu, B.P., Thorne, W. orcid.org/0000-0002-8947-6261 et al. (5 more authors) (2024) Navigating prompt complexity for zero-shot classification: a study of large language models in computational social science. In: Calzolari, N., Kan, M-Y., Hoste, V., Lenci, A., Sakti, S. and Xue, N., (eds.) Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024). Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), 20-25 May 2024, Torino, Italy. ELRA and ICCL , pp. 12074-12086. ISBN 978-2-493814-10-4

Wu, B., Li, Y., Mu, Y. et al. (3 more authors) (2023) Don’t waste a single annotation: improving single-label classifiers through soft labels. In: Findings of the Association for Computational Linguistics: EMNLP 2023. 2023 Conference on Empirical Methods in Natural Language Processing, 06-10 Dec 2023, Singapore. Association for Computational Linguistics , pp. 5347-5355. ISBN 979-8-89176-061-5

Mu, Y., Jin, M., Grimshaw, C. et al. (3 more authors) (2023) VaxxHesitancy: A dataset for studying hesitancy towards COVID-19 vaccination on Twitter. In: Lin, Y.-R., Cha, M. and Quercia, D., (eds.) Proceedings of the International AAAI Conference on Web and Social Media. Seventeenth International AAAI Conference on Web and Social Media, 05-08 Jun 2023, Limassol, Cyprus. Association for the Advancement of Artificial Intelligence (AAAI) , pp. 1052-1062. ISBN 9781577358794

Preprint

Jin, M., Mu, Y., Maynard, D. orcid.org/0000-0002-1773-7020 et al. (1 more author) (2023) Examining temporal bias in abusive language detection. [Preprint] (Submitted)