Xisen Jin

According to our database, Xisen Jin authored at least 21 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Demystifying Forgetting in Language Model Fine-Tuning with Statistical Analysis of Example Associations.

Xisen Jin, Xiang Ren

CoRR, 2024

What Will My Model Forget? Forecasting Forgotten Examples in Language Model Refinement.

Xisen Jin, Xiang Ren

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Dataless Knowledge Fusion by Merging Weights of Language Models.

Xisen Jin, Xiang Ren, Daniel Preotiuc-Pietro, Pengxiang Cheng

Proceedings of the Eleventh International Conference on Learning Representations, 2023

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

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

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

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

2021

Lifelong Learning of Few-shot Learners across NLP Tasks.

Xisen Jin, Mohammad Rostami, Xiang Ren

CoRR, 2021

Refining Neural Networks with Compositional Explanations.

Huihan Yao, Ying Chen, Qinyuan Ye, Xisen Jin, Xiang Ren

CoRR, 2021

Refining Language Models with Compositional Explanations.

Huihan Yao, Ying Chen, Qinyuan Ye, Xisen Jin, Xiang Ren

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Gradient-based Editing of Memory Examples for Online Task-free Continual Learning.

Xisen Jin, Arka Sadhu, Junyi Du, Xiang Ren

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

On Transferability of Bias Mitigation Effects in Language Model Fine-Tuning.

Xisen Jin, Francesco Barbieri, Brendan Kennedy, Aida Mostafazadeh Davani, Leonardo Neves, Xiang Ren

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Learn Continually, Generalize Rapidly: Lifelong Knowledge Accumulation for Few-shot Learning.

Xisen Jin, Bill Yuchen Lin, Mohammad Rostami, Xiang Ren

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

2020

Efficiently Mitigating Classification Bias via Transfer Learning.

Xisen Jin, Francesco Barbieri, Aida Mostafazadeh Davani, Brendan Kennedy, Leonardo Neves, Xiang Ren

CoRR, 2020

Gradient Based Memory Editing for Task-Free Continual Learning.

Xisen Jin, Junyi Du, Xiang Ren

CoRR, 2020

Visually Grounded Continual Learning of Compositional Semantics.

Xisen Jin, Junyi Du, Xiang Ren

CoRR, 2020

Towards Hierarchical Importance Attribution: Explaining Compositional Semantics for Neural Sequence Models.

Xisen Jin, Zhongyu Wei, Junyi Du, Xiangyang Xue, Xiang Ren

Proceedings of the 8th International Conference on Learning Representations, 2020

Recurrent Event Network: Autoregressive Structure Inferenceover Temporal Knowledge Graphs.

Woojeong Jin, Meng Qu, Xisen Jin, Xiang Ren

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Visually Grounded Continual Learning of Compositional Phrases.

Xisen Jin, Junyi Du, Arka Sadhu, Ram Nevatia, Xiang Ren

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Contextualizing Hate Speech Classifiers with Post-hoc Explanation.

Brendan Kennedy, Xisen Jin, Aida Mostafazadeh Davani, Morteza Dehghani, Xiang Ren

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2018

Explicit State Tracking with Semi-Supervision for Neural Dialogue Generation.

Xisen Jin, Wenqiang Lei, Zhaochun Ren, Hongshen Chen, Shangsong Liang, Yihong Zhao, Dawei Yin

CoRR, 2018

Explicit State Tracking with Semi-Supervisionfor Neural Dialogue Generation.

Xisen Jin, Wenqiang Lei, Zhaochun Ren, Hongshen Chen, Shangsong Liang, Yihong Zhao, Dawei Yin

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

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

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018