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2020 – today
- 2024
[c14]Xisen Jin, Xiang Ren:
What Will My Model Forget? Forecasting Forgotten Examples in Language Model Refinement. ICML 2024- [i13]Xisen Jin, Xiang Ren:
What Will My Model Forget? Forecasting Forgotten Examples in Language Model Refinement. CoRR abs/2402.01865 (2024) - [i12]Xisen Jin, Xiang Ren:
Demystifying Forgetting in Language Model Fine-Tuning with Statistical Analysis of Example Associations. CoRR abs/2406.14026 (2024) - 2023
- [c13]Genta Indra Winata, Lingjue Xie, Karthik Radhakrishnan, Shijie Wu, Xisen Jin, Pengxiang Cheng, Mayank Kulkarni, Daniel Preotiuc-Pietro:
Overcoming Catastrophic Forgetting in Massively Multilingual Continual Learning. ACL (Findings) 2023: 768-777 - [c12]Xisen Jin, Xiang Ren, Daniel Preotiuc-Pietro, Pengxiang Cheng:
Dataless Knowledge Fusion by Merging Weights of Language Models. ICLR 2023 - [i11]Genta Indra Winata, Lingjue Xie, Karthik Radhakrishnan, Shijie Wu, Xisen Jin, Pengxiang Cheng, Mayank Kulkarni, Daniel Preotiuc-Pietro:
Overcoming Catastrophic Forgetting in Massively Multilingual Continual Learning. CoRR abs/2305.16252 (2023) - 2022
- [c11]Xisen Jin, Dejiao Zhang, Henghui Zhu, Wei Xiao
, Shang-Wen Li, Xiaokai Wei, Andrew O. Arnold, Xiang Ren:
Lifelong Pretraining: Continually Adapting Language Models to Emerging Corpora. NAACL-HLT 2022: 4764-4780 - [i10]Xisen Jin, Xiang Ren, Daniel Preotiuc-Pietro, Pengxiang Cheng:
Dataless Knowledge Fusion by Merging Weights of Language Models. CoRR abs/2212.09849 (2022) - 2021
- [c10]Xisen Jin, Bill Yuchen Lin, Mohammad Rostami, Xiang Ren:
Learn Continually, Generalize Rapidly: Lifelong Knowledge Accumulation for Few-shot Learning. EMNLP (Findings) 2021: 714-729 - [c9]Xisen Jin, Francesco Barbieri, Brendan Kennedy, Aida Mostafazadeh Davani, Leonardo Neves, Xiang Ren:
On Transferability of Bias Mitigation Effects in Language Model Fine-Tuning. NAACL-HLT 2021: 3770-3783 - [c8]Huihan Yao, Ying Chen, Qinyuan Ye, Xisen Jin, Xiang Ren:
Refining Language Models with Compositional Explanations. NeurIPS 2021: 8954-8967 - [c7]Xisen Jin, Arka Sadhu, Junyi Du, Xiang Ren:
Gradient-based Editing of Memory Examples for Online Task-free Continual Learning. NeurIPS 2021: 29193-29205 - [i9]Huihan Yao, Ying Chen, Qinyuan Ye, Xisen Jin, Xiang Ren:
Refining Neural Networks with Compositional Explanations. CoRR abs/2103.10415 (2021) - [i8]Xisen Jin, Mohammad Rostami, Xiang Ren:
Lifelong Learning of Few-shot Learners across NLP Tasks. CoRR abs/2104.08808 (2021) - [i7]Xisen Jin, Dejiao Zhang, Henghui Zhu, Wei Xiao, Shang-Wen Li, Xiaokai Wei, Andrew O. Arnold, Xiang Ren:
Lifelong Pretraining: Continually Adapting Language Models to Emerging Corpora. CoRR abs/2110.08534 (2021) - 2020
- [c6]Brendan Kennedy, Xisen Jin, Aida Mostafazadeh Davani, Morteza Dehghani, Xiang Ren:
Contextualizing Hate Speech Classifiers with Post-hoc Explanation. ACL 2020: 5435-5442 - [c5]Xisen Jin, Junyi Du, Arka Sadhu, Ram Nevatia, Xiang Ren:
Visually Grounded Continual Learning of Compositional Phrases. EMNLP (1) 2020: 2018-2029 - [c4]Woojeong Jin, Meng Qu, Xisen Jin, Xiang Ren:
Recurrent Event Network: Autoregressive Structure Inferenceover Temporal Knowledge Graphs. EMNLP (1) 2020: 6669-6683 - [c3]Xisen Jin, Zhongyu Wei, Junyi Du, Xiangyang Xue, Xiang Ren:
Towards Hierarchical Importance Attribution: Explaining Compositional Semantics for Neural Sequence Models. ICLR 2020 - [i6]Xisen Jin, Junyi Du, Xiang Ren:
Visually Grounded Continual Learning of Compositional Semantics. CoRR abs/2005.00785 (2020) - [i5]Brendan Kennedy, Xisen Jin, Aida Mostafazadeh Davani, Morteza Dehghani, Xiang Ren:
Contextualizing Hate Speech Classifiers with Post-hoc Explanation. CoRR abs/2005.02439 (2020) - [i4]Xisen Jin, Junyi Du, Xiang Ren:
Gradient Based Memory Editing for Task-Free Continual Learning. CoRR abs/2006.15294 (2020) - [i3]Xisen Jin, Francesco Barbieri, Aida Mostafazadeh Davani, Brendan Kennedy, Leonardo Neves, Xiang Ren:
Efficiently Mitigating Classification Bias via Transfer Learning. CoRR abs/2010.12864 (2020)
2010 – 2019
- 2019
- [i2]Xisen Jin, Junyi Du, Zhongyu Wei, Xiangyang Xue, Xiang Ren:
Towards Hierarchical Importance Attribution: Explaining Compositional Semantics for Neural Sequence Models. CoRR abs/1911.06194 (2019) - 2018
- [c2]Wenqiang Lei, Xisen Jin, Min-Yen Kan, Zhaochun Ren, Xiangnan He, Dawei Yin:
Sequicity: Simplifying Task-oriented Dialogue Systems with Single Sequence-to-Sequence Architectures. ACL (1) 2018: 1437-1447 - [c1]Xisen Jin, Wenqiang Lei, Zhaochun Ren, Hongshen Chen, Shangsong Liang, Yihong Zhao, Dawei Yin:
Explicit State Tracking with Semi-Supervisionfor Neural Dialogue Generation. CIKM 2018: 1403-1412 - [i1]Xisen Jin, Wenqiang Lei, Zhaochun Ren, Hongshen Chen, Shangsong Liang, Yihong Zhao, Dawei Yin:
Explicit State Tracking with Semi-Supervision for Neural Dialogue Generation. CoRR abs/1808.10596 (2018)
Coauthor Index
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