Sequicity: Simplifying Task-oriented Dialogue Systems with Single Sequence-to-Sequence Architectures. - Wenqiang Lei; Xisen Jin; Min-Yen Kan; Zhaochun Ren; Xiangnan He 001; Dawei Yin (ACL (1), 2018)

Explicit State Tracking with Semi-Supervisionfor Neural Dialogue Generation. - Xisen Jin; Wenqiang Lei; Zhaochun Ren; Hongshen Chen; Shangsong Liang; Yihong Zhao 002; Dawei Yin (CIKM, 2018)

Explicit State Tracking with Semi-Supervision for Neural Dialogue Generation. - Xisen Jin; Wenqiang Lei; Zhaochun Ren; Hongshen Chen; Shangsong Liang; Yihong Zhao 002; Dawei Yin (CoRR, 2018)

Contextualizing Hate Speech Classifiers with Post-hoc Explanation. - Brendan Kennedy 001; Xisen Jin; Aida Mostafazadeh Davani; Morteza Dehghani; Xiang Ren 001 (ACL, 2020)

Visually Grounded Continual Learning of Compositional Phrases. - Xisen Jin; Junyi Du; Arka Sadhu; Ram Nevatia; Xiang Ren 001 (EMNLP (1), 2020)

Recurrent Event Network: Autoregressive Structure Inferenceover Temporal Knowledge Graphs. - Woojeong Jin 001; Meng Qu; Xisen Jin; Xiang Ren 001 (EMNLP (1), 2020)

Towards Hierarchical Importance Attribution: Explaining Compositional Semantics for Neural Sequence Models. - Xisen Jin; Zhongyu Wei; Junyi Du; Xiangyang Xue 001; Xiang Ren 001 (ICLR, 2020)

Visually Grounded Continual Learning of Compositional Semantics. - Xisen Jin; Junyi Du; Xiang Ren 001 (CoRR, 2020)

Gradient Based Memory Editing for Task-Free Continual Learning. - Xisen Jin; Junyi Du; Xiang Ren 001 (CoRR, 2020)

Efficiently Mitigating Classification Bias via Transfer Learning. - Xisen Jin; Francesco Barbieri; Aida Mostafazadeh Davani; Brendan Kennedy 001; Leonardo Neves; Xiang Ren 001 (CoRR, 2020)

Learn Continually, Generalize Rapidly: Lifelong Knowledge Accumulation for Few-shot Learning. - Xisen Jin; Bill Yuchen Lin; Mohammad Rostami; Xiang Ren 001 (EMNLP (Findings), 2021)

On Transferability of Bias Mitigation Effects in Language Model Fine-Tuning. - Xisen Jin; Francesco Barbieri; Brendan Kennedy 001; Aida Mostafazadeh Davani; Leonardo Neves; Xiang Ren 001 (NAACL-HLT, 2021)

Gradient-based Editing of Memory Examples for Online Task-free Continual Learning. - Xisen Jin; Arka Sadhu; Junyi Du; Xiang Ren 001 (NeurIPS, 2021)

Refining Language Models with Compositional Explanations. - Huihan Yao; Ying Chen; Qinyuan Ye; Xisen Jin; Xiang Ren 001 (NeurIPS, 2021)

Refining Neural Networks with Compositional Explanations. - Huihan Yao; Ying Chen; Qinyuan Ye; Xisen Jin; Xiang Ren 001 (CoRR, 2021)

Lifelong Learning of Few-shot Learners across NLP Tasks. - Xisen Jin; Mohammad Rostami; Xiang Ren 001 (CoRR, 2021)

Lifelong Pretraining: Continually Adapting Language Models to Emerging Corpora. - Xisen Jin; Dejiao Zhang; Henghui Zhu; Wei Xiao 001; Shang-Wen Li 001; Xiaokai Wei; Andrew O. Arnold; Xiang Ren 001 (NAACL-HLT, 2022)

Overcoming Catastrophic Forgetting in Massively Multilingual Continual Learning. - Genta Indra Winata; Lingjue Xie; Karthik Radhakrishnan; Shijie Wu; Xisen Jin; Pengxiang Cheng 001; Mayank Kulkarni; Daniel Preotiuc-Pietro (ACL (Findings), 2023)

Dataless Knowledge Fusion by Merging Weights of Language Models. - Xisen Jin; Xiang Ren 001; Daniel Preotiuc-Pietro; Pengxiang Cheng 001 (ICLR, 2023)

What Will My Model Forget? Forecasting Forgotten Examples in Language Model Refinement. - Xisen Jin; Xiang Ren 001 (ICML, 2024)

Demystifying Forgetting in Language Model Fine-Tuning with Statistical Analysis of Example Associations. - Xisen Jin; Xiang Ren 001 (CoRR, 2024)