Ke, Zixuan

12 publications

TMLR 2025 A Survey of Frontiers in LLM Reasoning: Inference Scaling, Learning to Reason, and Agentic Systems Zixuan Ke, Fangkai Jiao, Yifei Ming, Xuan-Phi Nguyen, Austin Xu, Do Xuan Long, Minzhi Li, Chengwei Qin, PeiFeng Wang, Silvio Savarese, Caiming Xiong, Shafiq Joty

NeurIPS 2025 Beyond Accuracy: Dissecting Mathematical Reasoning for LLMs Under Reinforcement Learning Jiayu Wang, Yifei Ming, Zixuan Ke, Caiming Xiong, Shafiq Joty, Aws Albarghouthi, Frederic Sala

ICLR 2025 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

ICLR 2023 Continual Pre-Training of Language Models Zixuan Ke, Yijia Shao, Haowei Lin, Tatsuya Konishi, Gyuhak Kim, Bing Liu

ICML 2023 Parameter-Level Soft-Masking for Continual Learning Tatsuya Konishi, Mori Kurokawa, Chihiro Ono, Zixuan Ke, Gyuhak Kim, Bing Liu

CoLLAs 2022 A Multi-Head Model for Continual Learning via Out-of-Distribution Replay Gyuhak Kim, Bing Liu, Zixuan Ke

NeurIPS 2022 A Theoretical Study on Solving Continual Learning Gyuhak Kim, Changnan Xiao, Tatsuya Konishi, Zixuan Ke, Bing Liu

NeurIPS 2021 Achieving Forgetting Prevention and Knowledge Transfer in Continual Learning Zixuan Ke, Bing Liu, Nianzu Ma, Hu Xu, Lei Shu

NeurIPS 2020 Continual Learning of a Mixed Sequence of Similar and Dissimilar Tasks Zixuan Ke, Bing Liu, Xingchang Huang

ECML-PKDD 2020 Continual Learning with Knowledge Transfer for Sentiment Classification Zixuan Ke, Bing Liu, Hao Wang, Lei Shu

IJCAI 2019 Automated Essay Scoring: A Survey of the State of the Art Zixuan Ke, Vincent Ng

IJCAI 2018 Learning to Give Feedback: Modeling Attributes Affecting Argument Persuasiveness in Student Essays Zixuan Ke, Winston Carlile, Nishant Gurrapadi, Vincent Ng