| 2026 | SIGIR | The Second Workshop on Evaluation of Multimodal Generation. | Wei Emma Zhang, Xiang Dai, Sarvnaz Karimi, Desmond Elliott, Biaoyan Fang, Mong Yuan Sim |
| 2025 | ACL | Can VLMs Actually See and Read? A Survey on Modality Collapse in Vision-Language Models. | Mong Yuan Sim, Wei Emma Zhang, Xiang Dai, Biaoyan Fang |
| 2025 | COLING | Proceedings of the First Workshop of Evaluation of Multi-Modal Generation. | Wei Emma Zhang, Xiang Dai, Desmond Elliott, Byron Fang, Mong Yuan Sim, Haojie Zhuang, Weitong Chen |
| 2025 | EMNLP | The More, The Better? A Critical Study of Multimodal Context in Radiology Report Summarization. | Mong Yuan Sim, Wei Emma Zhang, Xiang Dai, Biaoyan Fang, Sarbin Ranjitkar, Arjun Burlakoti, Jamie Taylor, Haojie Zhuang |
| 2025 | ICCV | RnGCam: High-Speed Video from Rolling & Global Shutter Measurements. | Kevin Tandi, Xiang Dai, Chinmay Talegaonkar, Gal Mishne, Nick Antipa |
| 2024 | ACL | Born Differently Makes a Difference: Counterfactual Study of Bias in Biography Generation from a Data-to-Text Perspective. | Biaoyan Fang, Ritvik Dinesh, Xiang Dai, Sarvnaz Karimi |
| 2024 | ECCV | Learning a Dynamic Privacy-Preserving Camera Robust to Inversion Attacks. | Jiacheng Cheng, Xiang Dai, Jia Wan, Nick Antipa, Nuno Vasconcelos |
| 2024 | EMNLP | A Critical Look at Meta-evaluating Summarisation Evaluation Metrics. | Xiang Dai, Sarvnaz Karimi, Biaoyan Fang |
| 2024 | EMNLP | Understanding Faithfulness and Reasoning of Large Language Models on Plain Biomedical Summaries. | Biaoyan Fang, Xiang Dai, Sarvnaz Karimi |
| 2023 | EACL | MultiFin: A Dataset for Multilingual Financial NLP. | Rasmus Kr Jrgensen, Oliver Brandt, Mareike Hartmann, Xiang Dai, Christian Igel, Desmond Elliott |
| 2023 | IJCNLP | Rethinking the Role of Entity Type in Relation Classification. | Xiang Dai, Sarvnaz Karimi, Stephen Wan |
| 2022 | EMNLP | Revisiting Transformer-based Models for Long Document Classification. | Xiang Dai, Ilias Chalkidis, Sune Darkner, Desmond Elliott |
| 2022 | ICCP | Tensorial tomographic differential phase-contrast microscopy. | Shiqi Xu, Xiang Dai, Xi Yang, Kevin C. Zhou, Kanghyun Kim, Vinayak Pathak, Carolyn Glass, Roarke Horstmeyer |
| 2021 | CIKM | SearchEHR: A Family History Search System for Clinical Decision Support. | Xiang Dai, Maciej Rybinski, Sarvnaz Karimi |
| 2021 | EMNLP | mDAPT: Multilingual Domain Adaptive Pretraining in a Single Model. | Rasmus Kr Jrgensen, Mareike Hartmann, Xiang Dai, Desmond Elliott |
| 2020 | ACL | An Effective Transition-based Model for Discontinuous NER. | Xiang Dai, Sarvnaz Karimi, Ben Hachey, Ccile Paris |
| 2020 | COLING | An Analysis of Simple Data Augmentation for Named Entity Recognition. | Xiang Dai, Heike Adel |
| 2020 | EMNLP | Cost-effective Selection of Pretraining Data: A Case Study of Pretraining BERT on Social Media. | Xiang Dai, Sarvnaz Karimi, Ben Hachey, Ccile Paris |
| 2019 | ACL | NNE: A Dataset for Nested Named Entity Recognition in English Newswire. | Nicky Ringland, Xiang Dai, Ben Hachey, Sarvnaz Karimi, Ccile Paris, James R. Curran |
| 2019 | NAACL | Using Similarity Measures to Select Pretraining Data for NER. | Xiang Dai, Sarvnaz Karimi, Ben Hachey, Ccile Paris |
| 2018 | ACL | Recognizing Complex Entity Mentions: A Review and Future Directions. | Xiang Dai |
| 2017 | ICONIP | Community Detection in Networks by Using Multiobjective Membrane Algorithm. | Chuang Liu, Linan Fan, Liangjie Li, Zhou Liu, Xiang Dai, Wei Gao |