Yida Mu

According to our database, Yida Mu authored at least 17 papers between 2020 and 2024.

Collaborative distances:

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

2024

Predicting and analyzing the popularity of false rumors in Weibo.

Yida Mu, Pu Niu, Kalina Bontcheva, Nikolaos Aletras

Expert Syst. Appl., 2024

Addressing Topic Granularity and Hallucination in Large Language Models for Topic Modelling.

Yida Mu, Peizhen Bai, Kalina Bontcheva, Xingyi Song

CoRR, 2024

Optimising LLM-Driven Machine Translation with Context-Aware Sliding Windows.

Xinye Yang, Yida Mu, Kalina Bontcheva, Xingyi Song

Proceedings of the Ninth Conference on Machine Translation, 2024

Enhancing Data Quality through Simple De-duplication: Navigating Responsible Computational Social Science Research.

Yida Mu, Mali Jin, Xingyi Song, Nikolaos Aletras

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

Navigating Prompt Complexity for Zero-Shot Classification: A Study of Large Language Models in Computational Social Science.

Yida Mu, Ben P. Wu, William Thorne, Ambrose Robinson, Nikolaos Aletras, Carolina Scarton, Kalina Bontcheva, Xingyi Song

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Examining the Limitations of Computational Rumor Detection Models Trained on Static Datasets.

Yida Mu, Xingyi Song, Kalina Bontcheva, Nikolaos Aletras

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Examining Temporalities on Stance Detection towards COVID-19 Vaccination.

Yida Mu, Mali Jin, Kalina Bontcheva, Xingyi Song

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Large Language Models Offer an Alternative to the Traditional Approach of Topic Modelling.

Yida Mu, Chun Dong, Kalina Bontcheva, Xingyi Song

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Overview of the CLEF-2024 CheckThat! Lab Task 6 on Robustness of Credibility Assessment with Adversarial Examples (InCrediblAE).

Piotr Przybyla, Ben Wu, Alexander V. Shvets, Yida Mu, Kim Cheng Sheang, Xingyi Song, Horacio Saggion

Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2024), 2024

2023

Examining Temporal Bias in Abusive Language Detection.

Mali Jin, Yida Mu, Diana Maynard, Kalina Bontcheva

CoRR, 2023

A Large-Scale Comparative Study of Accurate COVID-19 Information versus Misinformation.

Yida Mu, Ye Jiang, Freddy Heppell, Iknoor Singh, Carolina Scarton, Kalina Bontcheva, Xingyi Song

CoRR, 2023

Classification-Aware Neural Topic Model Combined with Interpretable Analysis - for Conflict Classification.

Tianyu Liang, Yida Mu, Soonho Kim, Darline Kengne Kuate, Julie Lang, Rob Vos, Xingyi Song

Proceedings of the 14th International Conference on Recent Advances in Natural Language Processing, 2023

VaxxHesitancy: A Dataset for Studying Hesitancy towards COVID-19 Vaccination on Twitter.

Yida Mu, Mali Jin, Charlie Grimshaw, Carolina Scarton, Kalina Bontcheva, Xingyi Song

Proceedings of the Seventeenth International AAAI Conference on Web and Social Media, 2023

Don't waste a single annotation: improving single-label classifiers through soft labels.

Ben Wu, Yue Li, Yida Mu, Carolina Scarton, Kalina Bontcheva, Xingyi Song

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

It's about Time: Rethinking Evaluation on Rumor Detection Benchmarks using Chronological Splits.

Yida Mu, Kalina Bontcheva, Nikolaos Aletras

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

2022

Identifying and Characterizing Active Citizens who Refute Misinformation in Social Media.

Yida Mu, Pu Niu, Nikolaos Aletras

Proceedings of the WebSci '22: 14th ACM Web Science Conference 2022, Barcelona, Spain, June 26, 2022

2020

Identifying Twitter users who repost unreliable news sources with linguistic information.

Yida Mu, Nikolaos Aletras

PeerJ Comput. Sci., 2020