| 2025 | ACL | Disentangling the Roles of Representation and Selection in Data Pruning. | Yupei Du, Yingjin Song, Hugh Mee Wong, Daniil Ignatev, Albert Gatt, Dong Nguyen |
| 2025 | ACL | On Support Samples of Next Word Prediction. | Yuqian Li, Yupei Du, Yufang Liu, Feifei Feng, Mou Xiao Feng, Yuanbin Wu |
| 2025 | ACL | Burn After Reading: Do Multimodal Large Language Models Truly Capture Order of Events in Image Sequences? | Yingjin Song, Yupei Du, Denis Paperno, Albert Gatt |
| 2025 | COLING | FTFT: Efficient and Robust Fine-Tuning by Transferring Training Dynamics. | Yupei Du, Albert Gatt, Dong Nguyen |
| 2025 | EMNLP | Reason to Rote: Rethinking Memorization in Reasoning. | Yupei Du, Philipp Mondorf, Silvia Casola, Yuekun Yao, Robert Litschko, Barbara Plank |
| 2025 | EMNLP | Language models can learn implicit multi-hop reasoning, but only if they have lots of training data. | Yuekun Yao, Yupei Du, Dawei Zhu, Michael Hahn, Alexander Koller |
| 2023 | ACL | Measuring the Instability of Fine-Tuning. | Yupei Du, Dong Nguyen |
| 2023 | CaiSE | CREATED: Generating Viable Counterfactual Sequences for Predictive Process Analytics. | Olusanmi Hundogan, Xixi Lu, Yupei Du, Hajo A. Reijers |
| 2022 | ACL | Understanding Gender Bias in Knowledge Base Embeddings. | Yupei Du, Qi Zheng, Yuanbin Wu, Man Lan, Yan Yang, Meirong Ma |
| 2021 | EMNLP | Assessing the Reliability of Word Embedding Gender Bias Measures. | Yupei Du, Qixiang Fang, Dong Nguyen |
| 2020 | INLG | Listener's Social Identity Matters in Personalised Response Generation. | Guanyi Chen, Yinhe Zheng, Yupei Du |
| 2019 | EMNLP | Exploring Human Gender Stereotypes with Word Association Test. | Yupei Du, Yuanbin Wu, Man Lan |