Zixuan Ke - RankMe

57 papers A* 11B 2Journal 33Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	MAS-Orchestra: Understanding and Improving Multi-Agent Reasoning Through Holistic Orchestration and Controlled Benchmarks. CoRR Zixuan Ke, Yifei Ming, Austin Xu, Ryan Chin, Xuan-Phi Nguyen, Prathyusha Jwalapuram, Jiayu Wang, Semih Yavuz, Caiming Xiong, Shafiq Joty
2026	J	`jnl`	MAS-ProVe: Understanding the Process Verification of Multi-Agent Systems. CoRR Vishal Venkataramani, Haizhou Shi, Zixuan Ke, Austin Xu, Xiaoxiao He, Yingbo Zhou, Semih Yavuz, Hao Wang, Shafiq Joty
2026	J	`jnl`	Rethinking Memory Mechanisms of Foundation Agents in the Second Half: A Survey. CoRR Wei-Chieh Huang, Weizhi Zhang, Yueqing Liang, Yuanchen Bei, Yankai Chen, Tao Feng, Xinyu Pan, Zhen Tan, Yu Wang, Tianxin Wei, Shanglin Wu, Ruiyao Xu, Liangwei Yang, Rui Yang, Wooseong Yang, Chin-Yuan Yeh, Hanrong Zhang, Haozhen Zhang, Siqi Zhu, Henry Peng Zou, Wanjia Zhao, Song Wang, Wujiang Xu, Zixuan Ke, Zheng Hui, Dawei Li, Yaozu Wu, Langzhou He, Chen Wang, Xiongxiao Xu, Baixiang Huang, Juntao Tan, Shelby Heinecke, Huan Wang, Caiming Xiong, Ahmed A. Metwally, Jun Yan, Chen-Yu Lee, Hanqing Zeng, Yinglong Xia, Xiaokai Wei, Ali Payani, Yu Wang, Haitong Ma, Wenya Wang, Chenguang Wang, Yu Zhang, Xin Wang, Yongfeng Zhang, Jiaxuan You, Hanghang Tong, Xiao Luo, Xue Liu, Yizhou Sun, Wei Wang, Julian J. McAuley, James Zou, Jiawei Han, Philip S. Yu, Kai Shu
2026	J	`jnl`	SkillOrchestra: Learning to Route Agents via Skill Transfer. CoRR Jiayu Wang, Yifei Ming, Zixuan Ke, Shafiq Joty, Aws Albarghouthi, Frederic Sala
2025	J	`jnl`	A Survey of Frontiers in LLM Reasoning: Inference Scaling, Learning to Reason, and Agentic Systems. CoRR 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
2025	J	`jnl`	A Survey of Frontiers in LLM Reasoning: Inference Scaling, Learning to Reason, and Agentic Systems. Trans. Mach. Learn. Res. 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
2025	J	`jnl`	Beyond Accuracy: Dissecting Mathematical Reasoning for LLMs Under Reinforcement Learning. CoRR Jiayu Wang, Yifei Ming, Zixuan Ke, Caiming Xiong, Shafiq Joty, Aws Albarghouthi, Frederic Sala
2025	B	`conf`	Continual Learning Using Only Large Language Model Prompting. COLING Jiabao Qiu, Zixuan Ke, Bing Liu
2025	A*	`conf`	Demystifying Domain-adaptive Post-training for Financial LLMs. EMNLP Zixuan Ke, Yifei Ming, Xuan-Phi Nguyen, Caiming Xiong, Shafiq Joty
2025	J	`jnl`	Demystifying Domain-adaptive Post-training for Financial LLMs. CoRR Zixuan Ke, Yifei Ming, Xuan-Phi Nguyen, Caiming Xiong, Shafiq Joty
2025	A*	`conf`	FaithEval: Can Your Language Model Stay Faithful to Context, Even If "The Moon is Made of Marshmallows". ICLR Yifei Ming, Senthil Purushwalkam, Shrey Pandit, Zixuan Ke, Xuan-Phi Nguyen, Caiming Xiong, Shafiq Joty
2025	J	`jnl`	Helpful Agent Meets Deceptive Judge: Understanding Vulnerabilities in Agentic Workflows. CoRR Yifei Ming, Zixuan Ke, Xuan-Phi Nguyen, Jiayu Wang, Shafiq Joty
2025	B	`conf`	In-context Continual Learning Assisted by an External Continual Learner. COLING Saleh Momeni, Sahisnu Mazumder, Zixuan Ke, Bing Liu
2025	J	`jnl`	LiveResearchBench: A Live Benchmark for User-Centric Deep Research in the Wild. CoRR Jiayu Wang, Yifei Ming, Riya Dulepet, Qinglin Chen, Austin Xu, Zixuan Ke, Frederic Sala, Aws Albarghouthi, Caiming Xiong, Shafiq Joty
2025	J	`jnl`	MAS-ZERO: Designing Multi-Agent Systems with Zero Supervision. CoRR Zixuan Ke, Austin Xu, Yifei Ming, Xuan-Phi Nguyen, Caiming Xiong, Shafiq Joty
2025	J	`jnl`	NAACL2025 Tutorial: Adaptation of Large Language Models. CoRR Zixuan Ke, Yifei Ming, Shafiq Joty
2025	J	`jnl`	Open-world continual learning: Unifying novelty detection and continual learning. Artif. Intell. Gyuhak Kim, Changnan Xiao, Tatsuya Konishi, Zixuan Ke, Bing Liu
2024	—	`conf`	Bridging the Preference Gap between Retrievers and LLMs. ACL (1) Zixuan Ke, Weize Kong, Cheng Li, Mingyang Zhang, Qiaozhu Mei, Michael Bendersky
2024	J	`jnl`	Bridging the Preference Gap between Retrievers and LLMs. CoRR Zixuan Ke, Weize Kong, Cheng Li, Mingyang Zhang, Qiaozhu Mei, Michael Bendersky
2024	J	`jnl`	Continual Learning Using Only Large Language Model Prompting. CoRR Jiabao Qiu, Zixuan Ke, Bing Liu
2024	J	`jnl`	FaithEval: Can Your Language Model Stay Faithful to Context, Even If "The Moon is Made of Marshmallows". CoRR Yifei Ming, Senthil Purushwalkam, Shrey Pandit, Zixuan Ke, Xuan-Phi Nguyen, Caiming Xiong, Shafiq Joty
2024	J	`jnl`	In-context Continual Learning Assisted by an External Continual Learner. CoRR Saleh Momeni, Sahisnu Mazumder, Zixuan Ke, Bing Liu
2024	J	`jnl`	SFR-RAG: Towards Contextually Faithful LLMs. CoRR Xuan-Phi Nguyen, Shrey Pandit, Senthil Purushwalkam, Austin Xu, Hailin Chen, Yifei Ming, Zixuan Ke, Silvio Savarese, Caiming Xong, Shafiq Joty
2023	J	`jnl`	Adapting a Language Model While Preserving its General Knowledge. CoRR Zixuan Ke, Yijia Shao, Haowei Lin, Hu Xu, Lei Shu, Bing Liu
2023	J	`jnl`	Continual Learning of Language Models. CoRR Zixuan Ke, Yijia Shao, Haowei Lin, Tatsuya Konishi, Gyuhak Kim, Bing Liu
2023	A*	`conf`	Continual Pre-training of Language Models. ICLR Zixuan Ke, Yijia Shao, Haowei Lin, Tatsuya Konishi, Gyuhak Kim, Bing Liu
2023	J	`jnl`	Open-World Continual Learning: Unifying Novelty Detection and Continual Learning. CoRR Gyuhak Kim, Changnan Xiao, Tatsuya Konishi, Zixuan Ke, Bing Liu
2023	A*	`conf`	Parameter-Level Soft-Masking for Continual Learning. ICML Tatsuya Konishi, Mori Kurokawa, Chihiro Ono, Zixuan Ke, Gyuhak Kim, Bing Liu
2023	J	`jnl`	Parameter-Level Soft-Masking for Continual Learning. CoRR Tatsuya Konishi, Mori Kurokawa, Chihiro Ono, Zixuan Ke, Gyuhak Kim, Bing Liu
2023	—	`conf`	Sub-network Discovery and Soft-masking for Continual Learning of Mixed Tasks. EMNLP (Findings) Zixuan Ke, Bing Liu, Wenhan Xiong, Asli Celikyilmaz, Haoran Li
2023	J	`jnl`	Sub-network Discovery and Soft-masking for Continual Learning of Mixed Tasks. CoRR Zixuan Ke, Bing Liu, Wenhan Xiong, Asli Celikyilmaz, Haoran Li
2022	—	`conf`	A Multi-Head Model for Continual Learning via Out-of-Distribution Replay. CoLLAs Gyuhak Kim, Bing Liu, Zixuan Ke
2022	J	`jnl`	A Multi-Head Model for Continual Learning via Out-of-Distribution Replay. CoRR Gyuhak Kim, Zixuan Ke, Bing Liu
2022	A*	`conf`	A Theoretical Study on Solving Continual Learning. NeurIPS Gyuhak Kim, Changnan Xiao, Tatsuya Konishi, Zixuan Ke, Bing Liu
2022	J	`jnl`	A Theoretical Study on Solving Continual Learning. CoRR Gyuhak Kim, Changnan Xiao, Tatsuya Konishi, Zixuan Ke, Bing Liu
2022	A*	`conf`	Adapting a Language Model While Preserving its General Knowledge. EMNLP Zixuan Ke, Yijia Shao, Haowei Lin, Hu Xu, Lei Shu, Bing Liu
2022	J	`jnl`	Continual Learning of Natural Language Processing Tasks: A Survey. CoRR Zixuan Ke, Bing Liu
2022	A*	`conf`	Continual Training of Language Models for Few-Shot Learning. EMNLP Zixuan Ke, Haowei Lin, Yijia Shao, Hu Xu, Lei Shu, Bing Liu
2022	J	`jnl`	Continual Training of Language Models for Few-Shot Learning. CoRR Zixuan Ke, Haowei Lin, Yijia Shao, Hu Xu, Lei Shu, Bing Liu
2022	—	`conf`	Domain-Aware Contrastive Knowledge Transfer for Multi-domain Imbalanced Data. WASSA@ACL Zixuan Ke, Mohammad Kachuee, Sungjin Lee
2022	J	`jnl`	Domain-Aware Contrastive Knowledge Transfer for Multi-domain Imbalanced Data. CoRR Zixuan Ke, Mohammad Kachuee, Sungjin Lee
2022	—	`conf`	Partially Relaxed Masks for Knowledge Transfer Without Forgetting in Continual Learning. PAKDD (1) Tatsuya Konishi, Mori Kurokawa, Chihiro Ono, Zixuan Ke, Gyuhak Kim, Bing Liu
2021	A*	`conf`	Achieving Forgetting Prevention and Knowledge Transfer in Continual Learning. NeurIPS Zixuan Ke, Bing Liu, Nianzu Ma, Hu Xu, Lei Shu
2021	J	`jnl`	Achieving Forgetting Prevention and Knowledge Transfer in Continual Learning. CoRR Zixuan Ke, Bing Liu, Nianzu Ma, Hu Xu, Lei Shu
2021	—	`conf`	Adapting BERT for Continual Learning of a Sequence of Aspect Sentiment Classification Tasks. NAACL-HLT Zixuan Ke, Hu Xu, Bing Liu
2021	J	`jnl`	Adapting BERT for Continual Learning of a Sequence of Aspect Sentiment Classification Tasks. CoRR Zixuan Ke, Hu Xu, Bing Liu
2021	—	`conf`	CLASSIC: Continual and Contrastive Learning of Aspect Sentiment Classification Tasks. EMNLP (1) Zixuan Ke, Bing Liu, Hu Xu, Lei Shu
2021	J	`jnl`	CLASSIC: Continual and Contrastive Learning of Aspect Sentiment Classification Tasks. CoRR Zixuan Ke, Bing Liu, Hu Xu, Lei Shu
2021	J	`jnl`	Continual Learning of a Mixed Sequence of Similar and Dissimilar Tasks. CoRR Zixuan Ke, Bing Liu, Xingchang Huang
2021	J	`jnl`	Continual Learning with Knowledge Transfer for Sentiment Classification. CoRR Zixuan Ke, Bing Liu, Hao Wang, Lei Shu
2020	A*	`conf`	Continual Learning of a Mixed Sequence of Similar and Dissimilar Tasks. NeurIPS Zixuan Ke, Bing Liu, Xingchang Huang
2020	—	`conf`	Continual Learning with Knowledge Transfer for Sentiment Classification. ECML/PKDD (3) Zixuan Ke, Bing Liu, Hao Wang, Lei Shu
2019	A*	`conf`	Automated Essay Scoring: A Survey of the State of the Art. IJCAI Zixuan Ke, Vincent Ng
2019	—	`conf`	Give Me More Feedback II: Annotating Thesis Strength and Related Attributes in Student Essays. ACL (1) Zixuan Ke, Hrishikesh Inamdar, Hui Lin, Vincent Ng
2018	—	`conf`	Give Me More Feedback: Annotating Argument Persuasiveness and Related Attributes in Student Essays. ACL (1) Winston Carlile, Nishant Gurrapadi, Zixuan Ke, Vincent Ng
2018	A*	`conf`	Learning to Give Feedback: Modeling Attributes Affecting Argument Persuasiveness in Student Essays. IJCAI Zixuan Ke, Winston Carlile, Nishant Gurrapadi, Vincent Ng
2016	—	`conf`	Dialogue act recognition for Chinese out-of-domain utterances using hybrid CNN-RF. IALP Jundong Wang, Peijie Huang, Qiangjia Huang, Zixuan Ke, Piyuan Lin