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Yida Mu
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2020 – today
- 2024
- [j2]Yida Mu
, Pu Niu
Predicting and analyzing the popularity of false rumors in Weibo. Expert Syst. Appl. 243: 122791 (2024) - [c12]Piotr Przybyla
Overview of the CLEF-2024 CheckThat! Lab Task 6 on Robustness of Credibility Assessment with Adversarial Examples (InCrediblAE). CLEF (Working Notes) 2024: 321-338 - [c11]Yida Mu, Mali Jin, Kalina Bontcheva, Xingyi Song:
Examining Temporalities on Stance Detection towards COVID-19 Vaccination. LREC/COLING 2024: 6732-6738 - [c10]Yida Mu, Xingyi Song, Kalina Bontcheva, Nikolaos Aletras:
Examining the Limitations of Computational Rumor Detection Models Trained on Static Datasets. LREC/COLING 2024: 6739-6751 - [c9]Yida Mu, Chun Dong, Kalina Bontcheva, Xingyi Song:
Large Language Models Offer an Alternative to the Traditional Approach of Topic Modelling. LREC/COLING 2024: 10160-10171 - [c8]Yida Mu, Ben P. Wu, William Thorne, Ambrose Robinson, Nikolaos Aletras, Carolina Scarton, Kalina Bontcheva, Xingyi Song:
Navigating Prompt Complexity for Zero-Shot Classification: A Study of Large Language Models in Computational Social Science. LREC/COLING 2024: 12074-12086 - [c7]Yida Mu, Mali Jin, Xingyi Song, Nikolaos Aletras:
Enhancing Data Quality through Simple De-duplication: Navigating Responsible Computational Social Science Research. EMNLP 2024: 12477-12492 - [c6]Xinye Yang, Yida Mu, Kalina Bontcheva, Xingyi Song:
Optimising LLM-Driven Machine Translation with Context-Aware Sliding Windows. WMT 2024: 1004-1010 - [i13]Yida Mu, Chun Dong, Kalina Bontcheva, Xingyi Song:
Large Language Models Offer an Alternative to the Traditional Approach of Topic Modelling. CoRR abs/2403.16248 (2024) - [i12]Yida Mu, Peizhen Bai, Kalina Bontcheva, Xingyi Song:
Addressing Topic Granularity and Hallucination in Large Language Models for Topic Modelling. CoRR abs/2405.00611 (2024) - [i11]Yida Mu, Mali Jin, Xingyi Song, Nikolaos Aletras:
Enhancing Data Quality through Simple De-duplication: Navigating Responsible Computational Social Science Research. CoRR abs/2410.03545 (2024) - 2023
- [c5]Yida Mu, Kalina Bontcheva, Nikolaos Aletras:
It's about Time: Rethinking Evaluation on Rumor Detection Benchmarks using Chronological Splits. EACL (Findings) 2023: 724-731 - [c4]Ben Wu, Yue Li, Yida Mu, Carolina Scarton, Kalina Bontcheva, Xingyi Song:
Don't waste a single annotation: improving single-label classifiers through soft labels. EMNLP (Findings) 2023: 5347-5355 - [c3]Yida Mu, Mali Jin, Charlie Grimshaw, Carolina Scarton, Kalina Bontcheva, Xingyi Song:
VaxxHesitancy: A Dataset for Studying Hesitancy towards COVID-19 Vaccination on Twitter. ICWSM 2023: 1052-1062 - [c2]Tianyu Liang, Yida Mu, Soonho Kim, Darline Kengne Kuate, Julie Lang, Rob Vos, Xingyi Song:
Classification-Aware Neural Topic Model Combined with Interpretable Analysis - for Conflict Classification. RANLP 2023: 666-672 - [i10]Yida Mu, Mali Jin, Charlie Grimshaw, Carolina Scarton, Kalina Bontcheva, Xingyi Song:
VaxxHesitancy: A Dataset for Studying Hesitancy Towards COVID-19 Vaccination on Twitter. CoRR abs/2301.06660 (2023) - [i9]Yida Mu, Kalina Bontcheva, Nikolaos Aletras:
It's about Time: Rethinking Evaluation on Rumor Detection Benchmarks using Chronological Splits. CoRR abs/2302.03147 (2023) - [i8]Yida Mu, Mali Jin, Kalina Bontcheva, Xingyi Song:
Examining Temporalities on Stance Detection Towards COVID-19 Vaccination. CoRR abs/2304.04806 (2023) - [i7]Yida Mu, Ye Jiang, Freddy Heppell, Iknoor Singh, Carolina Scarton, Kalina Bontcheva, Xingyi Song:
A Large-Scale Comparative Study of Accurate COVID-19 Information versus Misinformation. CoRR abs/2304.04811 (2023) - [i6]Yida Mu, Ben P. Wu, William Thorne, Ambrose Robinson, Nikolaos Aletras, Carolina Scarton, Kalina Bontcheva, Xingyi Song:
Navigating Prompt Complexity for Zero-Shot Classification: A Study of Large Language Models in Computational Social Science. CoRR abs/2305.14310 (2023) - [i5]Tianyu Liang, Yida Mu, Soonho Kim, Darline Larissa Kengne Kuate, Julie Lang, Rob Vos, Xingyi Song:
Classification-Aware Neural Topic Model Combined With Interpretable Analysis - For Conflict Classification. CoRR abs/2308.15232 (2023) - [i4]Yida Mu, Xingyi Song, Kalina Bontcheva, Nikolaos Aletras:
Examining the Limitations of Computational Rumor Detection Models Trained on Static Datasets. CoRR abs/2309.11576 (2023) - [i3]Mali Jin, Yida Mu, Diana Maynard
Examining Temporal Bias in Abusive Language Detection. CoRR abs/2309.14146 (2023) - [i2]Ben Wu, Yue Li, Yida Mu, Carolina Scarton, Kalina Bontcheva, Xingyi Song:
Don't Waste a Single Annotation: Improving Single-Label Classifiers Through Soft Labels. CoRR abs/2311.05265 (2023) - 2022
- [c1]Yida Mu, Pu Niu, Nikolaos Aletras:
Identifying and Characterizing Active Citizens who Refute Misinformation in Social Media. WebSci 2022: 401-410 - [i1]Yida Mu, Pu Niu, Nikolaos Aletras:
Identifying and Characterizing Active Citizens who Refute Misinformation in Social Media. CoRR abs/2204.10080 (2022) - 2020
- [j1]Yida Mu, Nikolaos Aletras:
Identifying Twitter users who repost unreliable news sources with linguistic information. PeerJ Comput. Sci. 6: e325 (2020)
Coauthor Index
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