Dialogue act recognition for Chinese out-of-domain utterances using hybrid CNN-RF. - Jundong Wang; Peijie Huang; Qiangjia Huang; Zixuan Ke; Piyuan Lin (IALP, 2016)

Give Me More Feedback: Annotating Argument Persuasiveness and Related Attributes in Student Essays. - Winston Carlile; Nishant Gurrapadi; Zixuan Ke; Vincent Ng 001 (ACL (1), 2018)

Learning to Give Feedback: Modeling Attributes Affecting Argument Persuasiveness in Student Essays. - Zixuan Ke; Winston Carlile; Nishant Gurrapadi; Vincent Ng 001 (IJCAI, 2018)

Give Me More Feedback II: Annotating Thesis Strength and Related Attributes in Student Essays. - Zixuan Ke; Hrishikesh Inamdar; Hui Lin; Vincent Ng 001 (ACL (1), 2019)

Automated Essay Scoring: A Survey of the State of the Art. - Zixuan Ke; Vincent Ng 001 (IJCAI, 2019)

Continual Learning of a Mixed Sequence of Similar and Dissimilar Tasks. - Zixuan Ke; Bing Liu 001; Xingchang Huang (NeurIPS, 2020)

Continual Learning with Knowledge Transfer for Sentiment Classification. - Zixuan Ke; Bing Liu 001; Hao Wang 008; Lei Shu 004 (ECML/PKDD (3), 2020)

CLASSIC: Continual and Contrastive Learning of Aspect Sentiment Classification Tasks. - Zixuan Ke; Bing Liu 001; Hu Xu 001; Lei Shu 004 (EMNLP (1), 2021)

Adapting BERT for Continual Learning of a Sequence of Aspect Sentiment Classification Tasks. - Zixuan Ke; Hu Xu 001; Bing Liu 001 (NAACL-HLT, 2021)

Achieving Forgetting Prevention and Knowledge Transfer in Continual Learning. - Zixuan Ke; Bing Liu 001; Nianzu Ma; Hu Xu 001; Lei Shu 004 (NeurIPS, 2021)

A Multi-Head Model for Continual Learning via Out-of-Distribution Replay. - Gyuhak Kim; Bing Liu 001; Zixuan Ke (CoLLAs, 2022)

Continual Training of Language Models for Few-Shot Learning. - Zixuan Ke; Haowei Lin; Yijia Shao; Hu Xu 001; Lei Shu 004; Bing Liu 001 (EMNLP, 2022)

Adapting a Language Model While Preserving its General Knowledge. - Zixuan Ke; Yijia Shao; Haowei Lin; Hu Xu 001; Lei Shu 004; Bing Liu 001 (EMNLP, 2022)

A Theoretical Study on Solving Continual Learning. - Gyuhak Kim; Changnan Xiao; Tatsuya Konishi; Zixuan Ke; Bing Liu 001 (NeurIPS, 2022)

Partially Relaxed Masks for Knowledge Transfer Without Forgetting in Continual Learning. - Tatsuya Konishi; Mori Kurokawa; Chihiro Ono; Zixuan Ke; Gyuhak Kim; Bing Liu 001 (PAKDD (1), 2022)

Domain-Aware Contrastive Knowledge Transfer for Multi-domain Imbalanced Data. - Zixuan Ke; Mohammad Kachuee; Sungjin Lee (WASSA@ACL, 2022)

Continual Learning of Natural Language Processing Tasks: A Survey. - Zixuan Ke; Bing Liu 001 (CoRR, 2022)

Sub-network Discovery and Soft-masking for Continual Learning of Mixed Tasks. - Zixuan Ke; Bing Liu 001; Wenhan Xiong; Asli Celikyilmaz; Haoran Li 007 (EMNLP (Findings), 2023)

Continual Pre-training of Language Models. - Zixuan Ke; Yijia Shao; Haowei Lin; Tatsuya Konishi; Gyuhak Kim; Bing Liu 001 (ICLR, 2023)

Parameter-Level Soft-Masking for Continual Learning. - Tatsuya Konishi; Mori Kurokawa; Chihiro Ono; Zixuan Ke; Gyuhak Kim; Bing Liu 001 (ICML, 2023)

Continual Learning of Language Models. - Zixuan Ke; Yijia Shao; Haowei Lin; Tatsuya Konishi; Gyuhak Kim; Bing Liu 001 (CoRR, 2023)

Bridging the Preference Gap between Retrievers and LLMs. - Zixuan Ke; Weize Kong; Cheng Li 012; Mingyang Zhang 001; Qiaozhu Mei; Michael Bendersky (ACL (1), 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)

In-context Continual Learning Assisted by an External Continual Learner. - Saleh Momeni; Sahisnu Mazumder; Zixuan Ke; Bing Liu 001 (COLING, 2025)

Continual Learning Using Only Large Language Model Prompting. - Jiabao Qiu; Zixuan Ke; Bing Liu 001 (COLING, 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, 2025)

Open-world continual learning: Unifying novelty detection and continual learning. - Gyuhak Kim; Changnan Xiao; Tatsuya Konishi; Zixuan Ke; Bing Liu 001 (Artif. Intell., 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 (Trans. Mach. Learn. Res., 2025)

Demystifying Domain-adaptive Post-training for Financial LLMs. - Zixuan Ke; Yifei Ming; Xuan-Phi Nguyen; Caiming Xiong; Shafiq Joty (CoRR, 2025)

NAACL2025 Tutorial: Adaptation of Large Language Models. - Zixuan Ke; Yifei Ming; Shafiq Joty (CoRR, 2025)

MAS-ZERO: Designing Multi-Agent Systems with Zero Supervision. - Zixuan Ke; Austin Xu; Yifei Ming; Xuan-Phi Nguyen; Caiming Xiong; Shafiq Joty (CoRR, 2025)

Helpful Agent Meets Deceptive Judge: Understanding Vulnerabilities in Agentic Workflows. - Yifei Ming; Zixuan Ke; Xuan-Phi Nguyen; Jiayu Wang; Shafiq Joty (CoRR, 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 (CoRR, 2025)