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Zixuan Ke
Zixuan Ke
Salesforce AI Research
Verified email at uic.edu - Homepage
Title
Cited by
Cited by
Year
Automated Essay Scoring: A Survey of the State of the Art.
Z Ke, V Ng
IJCAI 19, 6300-6308, 2019
2622019
Continual learning of a mixed sequence of similar and dissimilar tasks
Z Ke, B Liu, X Huang
Advances in neural information processing systems 33, 18493-18504, 2020
1392020
Achieving forgetting prevention and knowledge transfer in continual learning
Z Ke, B Liu, N Ma, H Xu, L Shu
Advances in Neural Information Processing Systems 34, 22443-22456, 2021
1232021
Continual pre-training of language models
Z Ke, Y Shao, H Lin, T Konishi, G Kim, B Liu
The Eleventh International Conference on Learning Representations (ICLR 2023), 2023
1202023
Give me more feedback: Annotating argument persuasiveness and related attributes in student essays
W Carlile, N Gurrapadi, Z Ke, V Ng
Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018
952018
A theoretical study on solving continual learning
G Kim, C Xiao, T Konishi, Z Ke, B Liu
Advances in neural information processing systems 35, 5065-5079, 2022
862022
Continual learning of natural language processing tasks: A survey
Z Ke, B Liu
arXiv preprint arXiv:2211.12701, 2022
832022
Adapting BERT for continual learning of a sequence of aspect sentiment classification tasks
Z Ke, H Xu, B Liu
Proceedings of the 2021 Conference of the North American Chapter of the …, 2021
832021
CLASSIC: Continual and contrastive learning of aspect sentiment classification tasks
Z Ke, B Liu, H Xu, L Shu
Proceedings of 2021 Conference on Empirical Methods in Natural Language …, 2021
622021
Learning to give feedback: Modeling attributes affecting argument persuasiveness in student essays.
Z Ke, W Carlile, N Gurrapadi, V Ng
IJCAI, 4130-4136, 2018
442018
A multi-head model for continual learning via out-of-distribution replay
G Kim, B Liu, Z Ke
Conference on Lifelong Learning Agents, 548-563, 2022
382022
Give me more feedback II: Annotating thesis strength and related attributes in student essays
Z Ke, H Inamdar, H Lin, V Ng
Proceedings of the 57th annual meeting of the association for computational …, 2019
382019
Continual learning with knowledge transfer for sentiment classification
Z Ke, B Liu, H Wang, L Shu
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2021
372021
Continual training of language models for few-shot learning
Z Ke, H Lin, Y Shao, H Xu, L Shu, B Liu
Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022
352022
Parameter-level soft-masking for continual learning
T Konishi, M Kurokawa, C Ono, Z Ke, G Kim, B Liu
International Conference on Machine Learning, 17492-17505, 2023
242023
Bridging the Preference Gap between Retrievers and LLMs
Z Ke, W Kong, C Li, M Zhang, Q Mei, M Bendersky
Proceedings of the Annual Meeting of the Association for Computational …, 2024
23*2024
Adapting a language model while preserving its general knowledge
Z Ke, Y Shao, H Lin, H Xu, L Shu, B Liu
Proceedings of The 2022 Conference on Empirical Methods in Natural Language …, 2022
202022
Open-world continual learning: Unifying novelty detection and continual learning
G Kim, C Xiao, T Konishi, Z Ke, B Liu
Artificial Intelligence 338, 104237, 2025
82025
Domain-aware contrastive knowledge transfer for multi-domain imbalanced data
Z Ke, M Kachuee, S Lee
Workshop on Computational Approaches to Subjectivity and Sentiment Analysis, 2022
62022
Sfr-rag: Towards contextually faithful llms
XP Nguyen, S Pandit, S Purushwalkam, A Xu, H Chen, Y Ming, Z Ke, ...
arXiv preprint arXiv:2409.09916, 2024
52024
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