| 2025 | ADMA | Rethinking Transformer-Based Multi-Document Summarization: An Empirical Investigation. | Congbo Ma, Wei Zhang, Dileepa Pitawela, Haojie Zhuang, Yanfeng Shu, Qing Li, Hu Wang |
| 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 | Fine-Tuning Encoder-Decoder Models with Contrastive Learning for In-Context Distractor Generation. | Elaf Alhazmi, Quan Z. Sheng, Wei Emma Zhang, Mohammed I. Thanoon, Haojie Zhuang, Behnaz Soltani, Munazza Zaib |
| 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 |
| 2024 | CIKM | Not All Negatives are Equally Negative: Soft Contrastive Learning for Unsupervised Sentence Representations. | Haojie Zhuang, Wei Emma Zhang, Jian Yang, Weitong Chen, Quan Z. Sheng |
| 2024 | EACL | Trainable Hard Negative Examples in Contrastive Learning for Unsupervised Abstractive Summarization. | Haojie Zhuang, Wei Emma Zhang, Chang Dong, Jian Yang, Quan Sheng |
| 2024 | IJCNN | Disentangling Specificity for Abstractive Multi-document Summarization. | Congbo Ma, Wei Emma Zhang, Hu Wang, Haojie Zhuang, Mingyu Guo |
| 2024 | NAACL | Automatic, Meta and Human Evaluation for Multimodal Summarization with Multimodal Output. | Haojie Zhuang, Wei Emma Zhang, Leon Xie, Weitong Chen, Jian Yang, Quan Sheng |
| 2022 | EMNLP | Learning From the Source Document: Unsupervised Abstractive Summarization. | Haojie Zhuang, Wei Emma Zhang, Jian Yang, Congbo Ma, Yutong Qu, Quan Z. Sheng |