| 2024 | ICML | What Will My Model Forget? Forecasting Forgotten Examples in Language Model Refinement. | Xisen Jin, Xiang Ren |
| 2023 | ACL | Overcoming Catastrophic Forgetting in Massively Multilingual Continual Learning. | Genta Indra Winata, Lingjue Xie, Karthik Radhakrishnan, Shijie Wu, Xisen Jin, Pengxiang Cheng, Mayank Kulkarni, Daniel Preotiuc-Pietro |
| 2023 | ICLR | Dataless Knowledge Fusion by Merging Weights of Language Models. | Xisen Jin, Xiang Ren, Daniel Preotiuc-Pietro, Pengxiang Cheng |
| 2022 | NAACL | Lifelong Pretraining: Continually Adapting Language Models to Emerging Corpora. | Xisen Jin, Dejiao Zhang, Henghui Zhu, Wei Xiao, Shang-Wen Li, Xiaokai Wei, Andrew O. Arnold, Xiang Ren |
| 2021 | EMNLP | Learn Continually, Generalize Rapidly: Lifelong Knowledge Accumulation for Few-shot Learning. | Xisen Jin, Bill Yuchen Lin, Mohammad Rostami, Xiang Ren |
| 2021 | NAACL | On Transferability of Bias Mitigation Effects in Language Model Fine-Tuning. | Xisen Jin, Francesco Barbieri, Brendan Kennedy, Aida Mostafazadeh Davani, Leonardo Neves, Xiang Ren |
| 2020 | ACL | Contextualizing Hate Speech Classifiers with Post-hoc Explanation. | Brendan Kennedy, Xisen Jin, Aida Mostafazadeh Davani, Morteza Dehghani, Xiang Ren |
| 2020 | EMNLP | Visually Grounded Continual Learning of Compositional Phrases. | Xisen Jin, Junyi Du, Arka Sadhu, Ram Nevatia, Xiang Ren |
| 2020 | EMNLP | Recurrent Event Network: Autoregressive Structure Inferenceover Temporal Knowledge Graphs. | Woojeong Jin, Meng Qu, Xisen Jin, Xiang Ren |
| 2020 | ICLR | Towards Hierarchical Importance Attribution: Explaining Compositional Semantics for Neural Sequence Models. | Xisen Jin, Zhongyu Wei, Junyi Du, Xiangyang Xue, Xiang Ren |
| 2018 | ACL | Sequicity: Simplifying Task-oriented Dialogue Systems with Single Sequence-to-Sequence Architectures. | Wenqiang Lei, Xisen Jin, Min-Yen Kan, Zhaochun Ren, Xiangnan He, Dawei Yin |
| 2018 | CIKM | Explicit State Tracking with Semi-Supervisionfor Neural Dialogue Generation. | Xisen Jin, Wenqiang Lei, Zhaochun Ren, Hongshen Chen, Shangsong Liang, Yihong Zhao, Dawei Yin |