Yida Mu - RankMe

29 papers A* 1A 2Misc 1Journal 16Unranked 9

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	A Dataset for Analysing News Framing in Chinese Media. ICWSM Owen Cook, Yida Mu, Xinye Yang, Xingyi Song, Kalina Bontcheva
2025	J	`jnl`	A Dataset for Analysing News Framing in Chinese Media. CoRR Owen Cook, Yida Mu, Xinye Yang, Xingyi Song, Kalina Bontcheva
2024	J	`jnl`	Addressing Topic Granularity and Hallucination in Large Language Models for Topic Modelling. CoRR Yida Mu, Peizhen Bai, Kalina Bontcheva, Xingyi Song
2024	A*	`conf`	Enhancing Data Quality through Simple De-duplication: Navigating Responsible Computational Social Science Research. EMNLP Yida Mu, Mali Jin, Xingyi Song, Nikolaos Aletras
2024	J	`jnl`	Enhancing Data Quality through Simple De-duplication: Navigating Responsible Computational Social Science Research. CoRR Yida Mu, Mali Jin, Xingyi Song, Nikolaos Aletras
2024	—	`conf`	Examining Temporalities on Stance Detection towards COVID-19 Vaccination. LREC/COLING Yida Mu, Mali Jin, Kalina Bontcheva, Xingyi Song
2024	—	`conf`	Examining the Limitations of Computational Rumor Detection Models Trained on Static Datasets. LREC/COLING Yida Mu, Xingyi Song, Kalina Bontcheva, Nikolaos Aletras
2024	—	`conf`	Large Language Models Offer an Alternative to the Traditional Approach of Topic Modelling. LREC/COLING Yida Mu, Chun Dong, Kalina Bontcheva, Xingyi Song
2024	J	`jnl`	Large Language Models Offer an Alternative to the Traditional Approach of Topic Modelling. CoRR Yida Mu, Chun Dong, Kalina Bontcheva, Xingyi Song
2024	—	`conf`	Navigating Prompt Complexity for Zero-Shot Classification: A Study of Large Language Models in Computational Social Science. LREC/COLING Yida Mu, Ben P. Wu, William Thorne, Ambrose Robinson, Nikolaos Aletras, Carolina Scarton, Kalina Bontcheva, Xingyi Song
2024	—	`conf`	Optimising LLM-Driven Machine Translation with Context-Aware Sliding Windows. WMT Xinye Yang, Yida Mu, Kalina Bontcheva, Xingyi Song
2024	—	`conf`	Overview of the CLEF-2024 CheckThat! Lab Task 6 on Robustness of Credibility Assessment with Adversarial Examples (InCrediblAE). CLEF (Working Notes) Piotr Przybyla, Ben Wu, Alexander V. Shvets, Yida Mu, Kim Cheng Sheang, Xingyi Song, Horacio Saggion
2024	J	`jnl`	Predicting and analyzing the popularity of false rumors in Weibo. Expert Syst. Appl. Yida Mu, Pu Niu, Kalina Bontcheva, Nikolaos Aletras
2023	J	`jnl`	A Large-Scale Comparative Study of Accurate COVID-19 Information versus Misinformation. CoRR Yida Mu, Ye Jiang, Freddy Heppell, Iknoor Singh, Carolina Scarton, Kalina Bontcheva, Xingyi Song
2023	J	`jnl`	Classification-Aware Neural Topic Model Combined With Interpretable Analysis - For Conflict Classification. CoRR Tianyu Liang, Yida Mu, Soonho Kim, Darline Larissa Kengne Kuate, Julie Lang, Rob Vos, Xingyi Song
2023	Misc	`conf`	Classification-Aware Neural Topic Model Combined with Interpretable Analysis - for Conflict Classification. RANLP Tianyu Liang, Yida Mu, Soonho Kim, Darline Kengne Kuate, Julie Lang, Rob Vos, Xingyi Song
2023	J	`jnl`	Don't Waste a Single Annotation: Improving Single-Label Classifiers Through Soft Labels. CoRR Ben Wu, Yue Li, Yida Mu, Carolina Scarton, Kalina Bontcheva, Xingyi Song
2023	—	`conf`	Don't waste a single annotation: improving single-label classifiers through soft labels. EMNLP (Findings) Ben Wu, Yue Li, Yida Mu, Carolina Scarton, Kalina Bontcheva, Xingyi Song
2023	J	`jnl`	Examining Temporal Bias in Abusive Language Detection. CoRR Mali Jin, Yida Mu, Diana Maynard, Kalina Bontcheva
2023	J	`jnl`	Examining Temporalities on Stance Detection Towards COVID-19 Vaccination. CoRR Yida Mu, Mali Jin, Kalina Bontcheva, Xingyi Song
2023	J	`jnl`	Examining the Limitations of Computational Rumor Detection Models Trained on Static Datasets. CoRR Yida Mu, Xingyi Song, Kalina Bontcheva, Nikolaos Aletras
2023	—	`conf`	It's about Time: Rethinking Evaluation on Rumor Detection Benchmarks using Chronological Splits. EACL (Findings) Yida Mu, Kalina Bontcheva, Nikolaos Aletras
2023	J	`jnl`	It's about Time: Rethinking Evaluation on Rumor Detection Benchmarks using Chronological Splits. CoRR Yida Mu, Kalina Bontcheva, Nikolaos Aletras
2023	J	`jnl`	Navigating Prompt Complexity for Zero-Shot Classification: A Study of Large Language Models in Computational Social Science. CoRR Yida Mu, Ben P. Wu, William Thorne, Ambrose Robinson, Nikolaos Aletras, Carolina Scarton, Kalina Bontcheva, Xingyi Song
2023	J	`jnl`	VaxxHesitancy: A Dataset for Studying Hesitancy Towards COVID-19 Vaccination on Twitter. CoRR Yida Mu, Mali Jin, Charlie Grimshaw, Carolina Scarton, Kalina Bontcheva, Xingyi Song
2023	A	`conf`	VaxxHesitancy: A Dataset for Studying Hesitancy towards COVID-19 Vaccination on Twitter. ICWSM Yida Mu, Mali Jin, Charlie Grimshaw, Carolina Scarton, Kalina Bontcheva, Xingyi Song
2022	—	`conf`	Identifying and Characterizing Active Citizens who Refute Misinformation in Social Media. WebSci Yida Mu, Pu Niu, Nikolaos Aletras
2022	J	`jnl`	Identifying and Characterizing Active Citizens who Refute Misinformation in Social Media. CoRR Yida Mu, Pu Niu, Nikolaos Aletras
2020	J	`jnl`	Identifying Twitter users who repost unreliable news sources with linguistic information. PeerJ Comput. Sci. Yida Mu, Nikolaos Aletras