Yan, Xifeng

14 publications

ICLRW 2025 Learning to Lie: Reinforcement Learning Attacks Damage Human-AI Teams and Teams of LLMs Abed K. Musaffar, Anand Gokhale, Sirui Zeng, Rasta Tadayon, Xifeng Yan, Ambuj Singh, Francesco Bullo

ICMLW 2024 Can Editing LLMs Inject Harm? Canyu Chen, Baixiang Huang, Zekun Li, Zhaorun Chen, Shiyang Lai, Xiongxiao Xu, Jia-Chen Gu, Jindong Gu, Huaxiu Yao, Chaowei Xiao, Xifeng Yan, William Yang Wang, Philip Torr, Dawn Song, Kai Shu

ICMLW 2024 Can Editing LLMs Inject Harm? Canyu Chen, Baixiang Huang, Zekun Li, Zhaorun Chen, Shiyang Lai, Xiongxiao Xu, Jia-Chen Gu, Jindong Gu, Huaxiu Yao, Chaowei Xiao, Xifeng Yan, William Yang Wang, Philip Torr, Dawn Song, Kai Shu

NeurIPSW 2024 Can Editing LLMs Inject Harm? Canyu Chen, Baixiang Huang, Zekun Li, Zhaorun Chen, Shiyang Lai, Xiongxiao Xu, Jia-Chen Gu, Jindong Gu, Huaxiu Yao, Chaowei Xiao, Xifeng Yan, William Yang Wang, Philip Torr, Dawn Song, Kai Shu

NeurIPS 2023 Augmenting Language Models with Long-Term Memory Weizhi Wang, Li Dong, Hao Cheng, Xiaodong Liu, Xifeng Yan, Jianfeng Gao, Furu Wei

NeurIPS 2023 Guiding Large Language Models via Directional Stimulus Prompting Zekun Li, Baolin Peng, Pengcheng He, Michel Galley, Jianfeng Gao, Xifeng Yan

ICML 2023 Improving Medical Predictions by Irregular Multimodal Electronic Health Records Modeling Xinlu Zhang, Shiyang Li, Zhiyu Chen, Xifeng Yan, Linda Ruth Petzold

NeurIPS 2023 Time Series as Images: Vision Transformer for Irregularly Sampled Time Series Zekun Li, Shiyang Li, Xifeng Yan

ICLRW 2023 Time Series as Images: Vision Transformer for Irregularly Sampled Time Series Zekun Li, Shiyang Li, Xifeng Yan

ICLR 2023 Visually-Augmented Language Modeling Weizhi Wang, Li Dong, Hao Cheng, Haoyu Song, Xiaodong Liu, Xifeng Yan, Jianfeng Gao, Furu Wei

AAAI 2022 Inductive Relation Prediction by BERT Hanwen Zha, Zhiyu Chen, Xifeng Yan

ICLR 2021 COCO: Controllable Counterfactuals for Evaluating Dialogue State Trackers Shiyang Li, Semih Yavuz, Kazuma Hashimoto, Jia Li, Tong Niu, Nazneen Rajani, Xifeng Yan, Yingbo Zhou, Caiming Xiong

NeurIPS 2019 Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting Shiyang Li, Xiaoyong Jin, Yao Xuan, Xiyou Zhou, Wenhu Chen, Yu-Xiang Wang, Xifeng Yan

MLJ 2011 Guest Editorial to the Special Issue on Inductive Logic Programming, Mining and Learning in Graphs and Statistical Relational Learning Hendrik Blockeel, Karsten M. Borgwardt, Luc De Raedt, Pedro M. Domingos, Kristian Kersting, Xifeng Yan