Zixuan Ke

According to our database, Zixuan Ke authored at least 25 papers between 2016 and 2024.

Collaborative distances:

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

2024

FaithEval: Can Your Language Model Stay Faithful to Context, Even If "The Moon is Made of Marshmallows".

Yifei Ming, Senthil Purushwalkam, Shrey Pandit, Zixuan Ke, Xuan-Phi Nguyen, Caiming Xiong, Shafiq Joty

CoRR, 2024

SFR-RAG: Towards Contextually Faithful LLMs.

Xuan-Phi Nguyen, Shrey Pandit, Senthil Purushwalkam, Austin Xu, Hailin Chen, Yifei Ming, Zixuan Ke, Silvio Savarese, Caiming Xong, Shafiq Joty

CoRR, 2024

Bridging the Preference Gap between Retrievers and LLMs.

Zixuan Ke, Weize Kong, Cheng Li, Mingyang Zhang, Qiaozhu Mei, Michael Bendersky

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Open-World Continual Learning: Unifying Novelty Detection and Continual Learning.

Gyuhak Kim, Changnan Xiao, Tatsuya Konishi, Zixuan Ke, Bing Liu

CoRR, 2023

Continual Learning of Language Models.

Zixuan Ke, Yijia Shao, Haowei Lin, Tatsuya Konishi, Gyuhak Kim, Bing Liu

CoRR, 2023

Parameter-Level Soft-Masking for Continual Learning.

Tatsuya Konishi, Mori Kurokawa, Chihiro Ono, Zixuan Ke, Gyuhak Kim, Bing Liu

Proceedings of the International Conference on Machine Learning, 2023

Continual Pre-training of Language Models.

Zixuan Ke, Yijia Shao, Haowei Lin, Tatsuya Konishi, Gyuhak Kim, Bing Liu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Sub-network Discovery and Soft-masking for Continual Learning of Mixed Tasks.

Zixuan Ke, Bing Liu, Wenhan Xiong, Asli Celikyilmaz, Haoran Li

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

2022

Continual Learning of Natural Language Processing Tasks: A Survey.

Zixuan Ke, Bing Liu

CoRR, 2022

Domain-Aware Contrastive Knowledge Transfer for Multi-domain Imbalanced Data.

Zixuan Ke, Mohammad Kachuee, Sungjin Lee

Proceedings of the 12th Workshop on Computational Approaches to Subjectivity, 2022

Partially Relaxed Masks for Knowledge Transfer Without Forgetting in Continual Learning.

Tatsuya Konishi, Mori Kurokawa, Chihiro Ono, Zixuan Ke, Gyuhak Kim, Bing Liu

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

A Theoretical Study on Solving Continual Learning.

Gyuhak Kim, Changnan Xiao, Tatsuya Konishi, Zixuan Ke, Bing Liu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Adapting a Language Model While Preserving its General Knowledge.

Zixuan Ke, Yijia Shao, Haowei Lin, Hu Xu, Lei Shu, Bing Liu

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Continual Training of Language Models for Few-Shot Learning.

Zixuan Ke, Haowei Lin, Yijia Shao, Hu Xu, Lei Shu, Bing Liu

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

A Multi-Head Model for Continual Learning via Out-of-Distribution Replay.

Gyuhak Kim, Bing Liu, Zixuan Ke

Proceedings of the Conference on Lifelong Learning Agents, 2022

2021

Achieving Forgetting Prevention and Knowledge Transfer in Continual Learning.

Zixuan Ke, Bing Liu, Nianzu Ma, Hu Xu, Lei Shu

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

Adapting BERT for Continual Learning of a Sequence of Aspect Sentiment Classification Tasks.

Zixuan Ke, Hu Xu, Bing Liu

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

CLASSIC: Continual and Contrastive Learning of Aspect Sentiment Classification Tasks.

Zixuan Ke, Bing Liu, Hu Xu, Lei Shu

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

Continual Learning with Knowledge Transfer for Sentiment Classification.

Zixuan Ke, Bing Liu, Hao Wang, Lei Shu

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Continual Learning of a Mixed Sequence of Similar and Dissimilar Tasks.

Zixuan Ke, Bing Liu, Xingchang Huang

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Automated Essay Scoring: A Survey of the State of the Art.

Zixuan Ke, Vincent Ng

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Give Me More Feedback II: Annotating Thesis Strength and Related Attributes in Student Essays.

Zixuan Ke, Hrishikesh Inamdar, Hui Lin, Vincent Ng

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Learning to Give Feedback: Modeling Attributes Affecting Argument Persuasiveness in Student Essays.

Zixuan Ke, Winston Carlile, Nishant Gurrapadi, Vincent Ng

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Give Me More Feedback: Annotating Argument Persuasiveness and Related Attributes in Student Essays.

Winston Carlile, Nishant Gurrapadi, Zixuan Ke, Vincent Ng

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

2016

Dialogue act recognition for Chinese out-of-domain utterances using hybrid CNN-RF.

Jundong Wang, Peijie Huang, Qiangjia Huang, Zixuan Ke, Piyuan Lin

Proceedings of the 2016 International Conference on Asian Language Processing, 2016