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ORCIDZixuan Ke
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2020 – today
- 2024
[c20]Zixuan Ke, Weize Kong, Cheng Li, Mingyang Zhang, Qiaozhu Mei, Michael Bendersky:
Bridging the Preference Gap between Retrievers and LLMs. ACL (1) 2024: 10438-10451- [i17]Zixuan Ke, Weize Kong, Cheng Li, Mingyang Zhang, Qiaozhu Mei, Michael Bendersky:
Bridging the Preference Gap between Retrievers and LLMs. CoRR abs/2401.06954 (2024) - [i16]Xuan-Phi Nguyen, Shrey Pandit, Senthil Purushwalkam, Austin Xu, Hailin Chen, Yifei Ming, Zixuan Ke, Silvio Savarese, Caiming Xong, Shafiq Joty:
SFR-RAG: Towards Contextually Faithful LLMs. CoRR abs/2409.09916 (2024) - 2023
- [c19]Zixuan Ke, Bing Liu, Wenhan Xiong, Asli Celikyilmaz, Haoran Li:
Sub-network Discovery and Soft-masking for Continual Learning of Mixed Tasks. EMNLP (Findings) 2023: 15090-15107 - [c18]Zixuan Ke, Yijia Shao, Haowei Lin, Tatsuya Konishi, Gyuhak Kim, Bing Liu:
Continual Pre-training of Language Models. ICLR 2023 - [c17]Tatsuya Konishi, Mori Kurokawa, Chihiro Ono, Zixuan Ke, Gyuhak Kim
, Bing Liu:
Parameter-Level Soft-Masking for Continual Learning. ICML 2023: 17492-17505 - [i15]Zixuan Ke, Yijia Shao, Haowei Lin, Hu Xu, Lei Shu, Bing Liu:
Adapting a Language Model While Preserving its General Knowledge. CoRR abs/2301.08986 (2023) - [i14]Zixuan Ke, Yijia Shao, Haowei Lin, Tatsuya Konishi, Gyuhak Kim, Bing Liu:
Continual Learning of Language Models. CoRR abs/2302.03241 (2023) - [i13]Gyuhak Kim, Changnan Xiao, Tatsuya Konishi, Zixuan Ke, Bing Liu:
Open-World Continual Learning: Unifying Novelty Detection and Continual Learning. CoRR abs/2304.10038 (2023) - [i12]Tatsuya Konishi, Mori Kurokawa, Chihiro Ono, Zixuan Ke, Gyuhak Kim, Bing Liu:
Parameter-Level Soft-Masking for Continual Learning. CoRR abs/2306.14775 (2023) - [i11]Zixuan Ke, Bing Liu, Wenhan Xiong, Asli Celikyilmaz, Haoran Li:
Sub-network Discovery and Soft-masking for Continual Learning of Mixed Tasks. CoRR abs/2310.09436 (2023) - 2022
- [c16]Gyuhak Kim, Bing Liu, Zixuan Ke:
A Multi-Head Model for Continual Learning via Out-of-Distribution Replay. CoLLAs 2022: 548-563 - [c15]Zixuan Ke, Yijia Shao, Haowei Lin, Hu Xu, Lei Shu, Bing Liu:
Adapting a Language Model While Preserving its General Knowledge. EMNLP 2022: 10177-10188 - [c14]Zixuan Ke, Haowei Lin, Yijia Shao, Hu Xu, Lei Shu, Bing Liu:
Continual Training of Language Models for Few-Shot Learning. EMNLP 2022: 10205-10216 - [c13]Gyuhak Kim, Changnan Xiao, Tatsuya Konishi, Zixuan Ke, Bing Liu:
A Theoretical Study on Solving Continual Learning. NeurIPS 2022 - [c12]Tatsuya Konishi, Mori Kurokawa, Chihiro Ono, Zixuan Ke, Gyuhak Kim, Bing Liu:
Partially Relaxed Masks for Knowledge Transfer Without Forgetting in Continual Learning. PAKDD (1) 2022: 367-379 - [c11]Zixuan Ke, Mohammad Kachuee, Sungjin Lee:
Domain-Aware Contrastive Knowledge Transfer for Multi-domain Imbalanced Data. WASSA@ACL 2022: 25-36 - [i10]Zixuan Ke, Mohammad Kachuee, Sungjin Lee:
Domain-Aware Contrastive Knowledge Transfer for Multi-domain Imbalanced Data. CoRR abs/2204.01916 (2022) - [i9]Gyuhak Kim, Zixuan Ke, Bing Liu:
A Multi-Head Model for Continual Learning via Out-of-Distribution Replay. CoRR abs/2208.09734 (2022) - [i8]Zixuan Ke, Haowei Lin, Yijia Shao, Hu Xu, Lei Shu, Bing Liu:
Continual Training of Language Models for Few-Shot Learning. CoRR abs/2210.05549 (2022) - [i7]Gyuhak Kim, Changnan Xiao, Tatsuya Konishi, Zixuan Ke, Bing Liu:
A Theoretical Study on Solving Continual Learning. CoRR abs/2211.02633 (2022) - [i6]Zixuan Ke, Bing Liu:
Continual Learning of Natural Language Processing Tasks: A Survey. CoRR abs/2211.12701 (2022) - 2021
- [c10]Zixuan Ke, Bing Liu, Hu Xu, Lei Shu:
CLASSIC: Continual and Contrastive Learning of Aspect Sentiment Classification Tasks. EMNLP (1) 2021: 6871-6883 - [c9]Zixuan Ke, Hu Xu, Bing Liu:
Adapting BERT for Continual Learning of a Sequence of Aspect Sentiment Classification Tasks. NAACL-HLT 2021: 4746-4755 - [c8]Zixuan Ke, Bing Liu, Nianzu Ma, Hu Xu, Lei Shu:
Achieving Forgetting Prevention and Knowledge Transfer in Continual Learning. NeurIPS 2021: 22443-22456 - [i5]Zixuan Ke, Bing Liu, Nianzu Ma, Hu Xu, Lei Shu:
Achieving Forgetting Prevention and Knowledge Transfer in Continual Learning. CoRR abs/2112.02706 (2021) - [i4]Zixuan Ke, Bing Liu, Hu Xu, Lei Shu:
CLASSIC: Continual and Contrastive Learning of Aspect Sentiment Classification Tasks. CoRR abs/2112.02714 (2021) - [i3]Zixuan Ke, Hu Xu, Bing Liu:
Adapting BERT for Continual Learning of a Sequence of Aspect Sentiment Classification Tasks. CoRR abs/2112.03271 (2021) - [i2]Zixuan Ke, Bing Liu, Xingchang Huang:
Continual Learning of a Mixed Sequence of Similar and Dissimilar Tasks. CoRR abs/2112.10017 (2021) - [i1]Zixuan Ke, Bing Liu, Hao Wang, Lei Shu:
Continual Learning with Knowledge Transfer for Sentiment Classification. CoRR abs/2112.10021 (2021) - 2020
- [c7]Zixuan Ke, Bing Liu, Xingchang Huang:
Continual Learning of a Mixed Sequence of Similar and Dissimilar Tasks. NeurIPS 2020 - [c6]Zixuan Ke, Bing Liu, Hao Wang, Lei Shu:
Continual Learning with Knowledge Transfer for Sentiment Classification. ECML/PKDD (3) 2020: 683-698
2010 – 2019
- 2019
- [c5]Zixuan Ke, Hrishikesh Inamdar, Hui Lin, Vincent Ng:
Give Me More Feedback II: Annotating Thesis Strength and Related Attributes in Student Essays. ACL (1) 2019: 3994-4004 - [c4]Zixuan Ke, Vincent Ng:
Automated Essay Scoring: A Survey of the State of the Art. IJCAI 2019: 6300-6308 - 2018
- [c3]Winston Carlile, Nishant Gurrapadi, Zixuan Ke, Vincent Ng:
Give Me More Feedback: Annotating Argument Persuasiveness and Related Attributes in Student Essays. ACL (1) 2018: 621-631 - [c2]Zixuan Ke, Winston Carlile, Nishant Gurrapadi, Vincent Ng:
Learning to Give Feedback: Modeling Attributes Affecting Argument Persuasiveness in Student Essays. IJCAI 2018: 4130-4136 - 2016
- [c1]Jundong Wang, Peijie Huang, Qiangjia Huang, Zixuan Ke, Piyuan Lin:
Dialogue act recognition for Chinese out-of-domain utterances using hybrid CNN-RF. IALP 2016: 14-17
Coauthor Index
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