He, Zexue

10 publications

ICLR 2025 Large Scale Knowledge Washing Yu Wang, Ruihan Wu, Zexue He, Xiusi Chen, Julian McAuley

ICML 2025 M+: Extending MemoryLLM with Scalable Long-Term Memory Yu Wang, Dmitry Krotov, Yuanzhe Hu, Yifan Gao, Wangchunshu Zhou, Julian Mcauley, Dan Gutfreund, Rogerio Feris, Zexue He

TMLR 2025 Towards LifeSpan Cognitive Systems Yu Wang, Chi Han, Tongtong Wu, Xiaoxin He, Wangchunshu Zhou, Nafis Sadeq, Xiusi Chen, Zexue He, Wei Wang, Gholamreza Haffari, Heng Ji, Julian McAuley

ICMLW 2024 CAMELoT: Towards Large Language Models with Training-Free Consolidated Associative Memory Zexue He, Leonid Karlinsky, Donghyun Kim, Julian McAuley, Dmitry Krotov, Rogerio Feris

AAAI 2024 Deciphering Compatibility Relationships with Textual Descriptions via Extraction and Explanation Yu Wang, Zexue He, Zhankui He, Hao Xu, Julian J. McAuley

NeurIPSW 2024 WildFeedback: Aligning LLMs with In-Situ User Interactions and Feedback Taiwei Shi, Zhuoer Wang, Longqi Yang, Ying-Chun Lin, Zexue He, Mengting Wan, Pei Zhou, Sujay Kumar Jauhar, Xiaofeng Xu, Xia Song, Jennifer Neville

AAAI 2023 "Nothing Abnormal": Disambiguating Medical Reports via Contrastive Knowledge Infusion Zexue He, An Yan, Amilcare Gentili, Julian J. McAuley, Chun-Nan Hsu

ICCV 2023 Learning Concise and Descriptive Attributes for Visual Recognition An Yan, Yu Wang, Yiwu Zhong, Chengyu Dong, Zexue He, Yujie Lu, William Yang Wang, Jingbo Shang, Julian McAuley

AAAI 2022 Leashing the Inner Demons: Self-Detoxification for Language Models Canwen Xu, Zexue He, Zhankui He, Julian J. McAuley

ICLR 2019 Learning Robust Representations by Projecting Superficial Statistics Out Haohan Wang, Zexue He, Zachary C. Lipton, Eric P. Xing