Xie, Ruobing

32 publications

ICLR 2025 Advancing LLM Reasoning Generalists with Preference Trees Lifan Yuan, Ganqu Cui, Hanbin Wang, Ning Ding, Xingyao Wang, Boji Shan, Zeyuan Liu, Jia Deng, Huimin Chen, Ruobing Xie, Yankai Lin, Zhenghao Liu, Bowen Zhou, Hao Peng, Zhiyuan Liu, Maosong Sun

ICML 2025 Autonomy-of-Experts Models Ang Lv, Ruobing Xie, Yining Qian, Songhao Wu, Xingwu Sun, Zhanhui Kang, Di Wang, Rui Yan

AAAI 2025 Curriculum Conditioned Diffusion for Multimodal Recommendation Yimeng Yang, Haokai Ma, Lei Meng, Shuo Xu, Ruobing Xie, Xiangxu Meng

AAAI 2025 Enhancing Contrastive Learning Inspired by the Philosophy of "The Blind Men and the Elephant" Yudong Zhang, Ruobing Xie, Jiansheng Chen, Xingwu Sun, Zhanhui Kang, Yu Wang

NeurIPS 2025 Flexible Realignment of Language Models Wenhong Zhu, Ruobing Xie, Weinan Zhang, Rui Wang

ICCV 2025 Hybrid-Tower: Fine-Grained Pseudo-Query Interaction and Generation for Text-to-Video Retrieval Bangxiang Lan, Ruobing Xie, Ruixiang Zhao, Xingwu Sun, Zhanhui Kang, Gang Yang, Xirong Li

ICLR 2025 Internet of Agents: Weaving a Web of Heterogeneous Agents for Collaborative Intelligence Weize Chen, Ziming You, Ran Li, Yitong Guan, Chen Qian, Chenyang Zhao, Cheng Yang, Ruobing Xie, Zhiyuan Liu, Maosong Sun

CVPR 2025 PhD: A ChatGPT-Prompted Visual Hallucination Evaluation Dataset Jiazhen Liu, Yuhan Fu, Ruobing Xie, Runquan Xie, Xingwu Sun, Fengzong Lian, Zhanhui Kang, Xirong Li

ICML 2025 Scaling Laws for Floating–Point Quantization Training Xingwu Sun, Shuaipeng Li, Ruobing Xie, Weidong Han, Kan Wu, Zhen Yang, Yixing Li, An Wang, Shuai Li, Jinbao Xue, Yu Cheng, Yangyu Tao, Zhanhui Kang, Cheng-Zhong Xu, Di Wang, Jie Jiang

ICMLW 2024 Advancing LLM Reasoning Generalists with Preference Trees Lifan Yuan, Ganqu Cui, Hanbin Wang, Ning Ding, Xingyao Wang, Jia Deng, Boji Shan, Huimin Chen, Ruobing Xie, Yankai Lin, Zhenghao Liu, Bowen Zhou, Hao Peng, Zhiyuan Liu, Maosong Sun

ICLR 2024 AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors Weize Chen, Yusheng Su, Jingwei Zuo, Cheng Yang, Chenfei Yuan, Chi-Min Chan, Heyang Yu, Yaxi Lu, Yi-Hsin Hung, Chen Qian, Yujia Qin, Xin Cong, Ruobing Xie, Zhiyuan Liu, Maosong Sun, Jie Zhou

ICML 2024 Exploring the Benefit of Activation Sparsity in Pre-Training Zhengyan Zhang, Chaojun Xiao, Qiujieli Qin, Yankai Lin, Zhiyuan Zeng, Xu Han, Zhiyuan Liu, Ruobing Xie, Maosong Sun, Jie Zhou

AAAI 2024 Plug-in Diffusion Model for Sequential Recommendation Haokai Ma, Ruobing Xie, Lei Meng, Xin Chen, Xu Zhang, Leyu Lin, Zhanhui Kang

IJCAI 2024 SeeDRec: Sememe-Based Diffusion for Sequential Recommendation Haokai Ma, Ruobing Xie, Lei Meng, Yimeng Yang, Xingwu Sun, Zhanhui Kang

ICLR 2024 ToolLLM: Facilitating Large Language Models to Master 16000+ Real-World APIs Yujia Qin, Shihao Liang, Yining Ye, Kunlun Zhu, Lan Yan, Yaxi Lu, Yankai Lin, Xin Cong, Xiangru Tang, Bill Qian, Sihan Zhao, Lauren Hong, Runchu Tian, Ruobing Xie, Jie Zhou, Mark Gerstein, Dahai Li, Zhiyuan Liu, Maosong Sun

ICML 2024 ULTRAFEEDBACK: Boosting Language Models with Scaled AI Feedback Ganqu Cui, Lifan Yuan, Ning Ding, Guanming Yao, Bingxiang He, Wei Zhu, Yuan Ni, Guotong Xie, Ruobing Xie, Yankai Lin, Zhiyuan Liu, Maosong Sun

ECML-PKDD 2023 Future Augmentation with Self-Distillation in Recommendation Chong Liu, Ruobing Xie, Xiaoyang Liu, Pinzheng Wang, Rongqin Zheng, Lixin Zhang, Juntao Li, Feng Xia, Leyu Lin

AAAI 2023 Visually Grounded Commonsense Knowledge Acquisition Yuan Yao, Tianyu Yu, Ao Zhang, Mengdi Li, Ruobing Xie, Cornelius Weber, Zhiyuan Liu, Hai-Tao Zheng, Stefan Wermter, Tat-Seng Chua, Maosong Sun

ECML-PKDD 2022 Customized Conversational Recommender Systems Shuokai Li, Yongchun Zhu, Ruobing Xie, Zhenwei Tang, Zhao Zhang, Fuzhen Zhuang, Qing He, Hui Xiong

NeurIPS 2021 Curriculum Disentangled Recommendation with Noisy Multi-Feedback Hong Chen, Yudong Chen, Xin Wang, Ruobing Xie, Rui Wang, Feng Xia, Wenwu Zhu

AAAI 2021 Hierarchical Reinforcement Learning for Integrated Recommendation Ruobing Xie, Shaoliang Zhang, Rui Wang, Feng Xia, Leyu Lin

ECML-PKDD 2021 MMNet: Multi-Granularity Multi-Mode Network for Item-Level Share Rate Prediction Haomin Yu, Mingfei Liang, Ruobing Xie, Zhenlong Sun, Bo Zhang, Leyu Lin

IJCAI 2020 Deep Feedback Network for Recommendation Ruobing Xie, Cheng Ling, Yalong Wang, Rui Wang, Feng Xia, Leyu Lin

IJCAI 2020 Internal and Contextual Attention Network for Cold-Start Multi-Channel Matching in Recommendation Ruobing Xie, Zhijie Qiu, Jun Rao, Yi Liu, Bo Zhang, Leyu Lin

AAAI 2020 Neural Snowball for Few-Shot Relation Learning Tianyu Gao, Xu Han, Ruobing Xie, Zhiyuan Liu, Fen Lin, Leyu Lin, Maosong Sun

ECML-PKDD 2020 Social Influence Attentive Neural Network for Friend-Enhanced Recommendation Yuanfu Lu, Ruobing Xie, Chuan Shi, Yuan Fang, Wei Wang, Xu Zhang, Leyu Lin

AAAI 2018 Does William Shakespeare REALLY Write Hamlet? Knowledge Representation Learning with Confidence Ruobing Xie, Zhiyuan Liu, Fen Lin, Leyu Lin

IJCAI 2017 Image-Embodied Knowledge Representation Learning Ruobing Xie, Zhiyuan Liu, Huanbo Luan, Maosong Sun

IJCAI 2017 Iterative Entity Alignment via Joint Knowledge Embeddings Hao Zhu, Ruobing Xie, Zhiyuan Liu, Maosong Sun

IJCAI 2017 Lexical Sememe Prediction via Word Embeddings and Matrix Factorization Ruobing Xie, Xingchi Yuan, Zhiyuan Liu, Maosong Sun

AAAI 2016 Representation Learning of Knowledge Graphs with Entity Descriptions Ruobing Xie, Zhiyuan Liu, Jia Jia, Huanbo Luan, Maosong Sun

IJCAI 2016 Representation Learning of Knowledge Graphs with Hierarchical Types Ruobing Xie, Zhiyuan Liu, Maosong Sun