| 2024 | ACL | SeaLLMs - Large Language Models for Southeast Asia. | Xuan-Phi Nguyen, Wenxuan Zhang, Xin Li, Mahani Aljunied, Zhiqiang Hu, Chenhui Shen, Yew Ken Chia, Xingxuan Li, Jianyu Wang, Qingyu Tan, Liying Cheng, Guanzheng Chen, Yue Deng, Sen Yang, Chaoqun Liu, Hang Zhang, Lidong Bing |
| 2024 | ACL | Towards Robust Temporal Reasoning of Large Language Models via a Multi-Hop QA Dataset and Pseudo-Instruction Tuning. | Qingyu Tan, Hwee Tou Ng, Lidong Bing |
| 2023 | ACL | Class-Adaptive Self-Training for Relation Extraction with Incompletely Annotated Training Data. | Qingyu Tan, Lu Xu, Lidong Bing, Hwee Tou Ng |
| 2023 | ACL | Towards Benchmarking and Improving the Temporal Reasoning Capability of Large Language Models. | Qingyu Tan, Hwee Tou Ng, Lidong Bing |
| 2022 | ACL | Document-Level Relation Extraction with Adaptive Focal Loss and Knowledge Distillation. | Qingyu Tan, Ruidan He, Lidong Bing, Hwee Tou Ng |
| 2022 | COLING | Domain Generalization for Text Classification with Memory-Based Supervised Contrastive Learning. | Qingyu Tan, Ruidan He, Lidong Bing, Hwee Tou Ng |
| 2022 | EMNLP | Revisiting DocRED - Addressing the False Negative Problem in Relation Extraction. | Qingyu Tan, Lu Xu, Lidong Bing, Hwee Tou Ng, Sharifah Mahani Aljunied |
| 2021 | ACL | On the Effectiveness of Adapter-based Tuning for Pretrained Language Model Adaptation. | Ruidan He, Linlin Liu, Hai Ye, Qingyu Tan, Bosheng Ding, Liying Cheng, Jia-Wei Low, Lidong Bing, Luo Si |
| 2020 | EMNLP | Feature Adaptation of Pre-Trained Language Models across Languages and Domains with Robust Self-Training. | Hai Ye, Qingyu Tan, Ruidan He, Juntao Li, Hwee Tou Ng, Lidong Bing |