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2020 – today
- 2024
[j18]Weize Chen
, Xu Han, Yankai Lin, Kaichen He, Ruobing Xie, Jie Zhou, Zhiyuan Liu, Maosong Sun:
Hyperbolic Pre-Trained Language Model. IEEE ACM Trans. Audio Speech Lang. Process. 32: 3101-3112 (2024)- [j17]Yiqing Wu, Ruobing Xie, Yongchun Zhu, Fuzhen Zhuang, Xu Zhang, Leyu Lin, Qing He:
Personalized Prompt for Sequential Recommendation. IEEE Trans. Knowl. Data Eng. 36(7): 3376-3389 (2024) - [j16]Weilong Chen, Shaoliang Zhang, Ruobing Xie, Feng Xia, Leyu Lin, Xinran Zhang, Yan Wang, Yanru Zhang:
CIPPO: Contrastive Imitation Proximal Policy Optimization for Recommendation Based on Reinforcement Learning. IEEE Trans. Knowl. Data Eng. 36(11): 5753-5767 (2024) - [j15]Haokai Ma, Ruobing Xie, Lei Meng, Xin Chen, Xu Zhang, Leyu Lin, Jie Zhou:
Triple Sequence Learning for Cross-domain Recommendation. ACM Trans. Inf. Syst. 42(4): 91:1-91:29 (2024) - [j14]Wei Chen, Yiqing Wu, Zhao Zhang, Fuzhen Zhuang, Zhongshi He, Ruobing Xie, Feng Xia:
FairGap: Fairness-Aware Recommendation via Generating Counterfactual Graph. ACM Trans. Inf. Syst. 42(4): 94:1-94:25 (2024) - [j13]Chunchen Wang, Wei Wang, Cheng Yang, Chuan Shi, Ruobing Xie, Yuanfu Lu, Haili Yang, Xu Zhang:
Group-to-group recommendation with neural graph matching. World Wide Web (WWW) 27(2): 19 (2024) - [c87]Haokai Ma, Ruobing Xie, Lei Meng, Xin Chen, Xu Zhang, Leyu Lin, Zhanhui Kang:
Plug-In Diffusion Model for Sequential Recommendation. AAAI 2024: 8886-8894 - [c86]Xiaozhi Wang, Hao Peng, Yong Guan, Kaisheng Zeng, Jianhui Chen, Lei Hou, Xu Han, Yankai Lin, Zhiyuan Liu, Ruobing Xie, Jie Zhou, Juanzi Li:
MAVEN-ARG: Completing the Puzzle of All-in-One Event Understanding Dataset with Event Argument Annotation. ACL (1) 2024: 4072-4091 - [c85]Yidan Wang, Zhaochun Ren, Weiwei Sun, Jiyuan Yang, Zhixiang Liang, Xin Chen, Ruobing Xie, Su Yan, Xu Zhang, Pengjie Ren, Zhumin Chen, Xin Xin:
Content-Based Collaborative Generation for Recommender Systems. CIKM 2024: 2420-2430 - [c84]Xingwu Sun, Zhen Yang, Ruobing Xie, Fengzong Lian, Zhanhui Kang, Chengzhong Xu:
LightVLP: A Lightweight Vision-Language Pre-training via Gated Interactive Masked AutoEncoders. LREC/COLING 2024: 10499-10510 - [c83]Ruobing Xie, Xin Chen, Su Yan, Jinghan Chen, Xu Zhang, Xingwu Sun, Leyu Lin, Zhanhui Kang:
Style Controlling in Recommendation. DASFAA (7) 2024: 427-431 - [c82]Yupeng Hou, Junjie Zhang, Zihan Lin, Hongyu Lu, Ruobing Xie, Julian J. McAuley, Wayne Xin Zhao:
Large Language Models are Zero-Shot Rankers for Recommender Systems. ECIR (2) 2024: 364-381 - [c81]Yiju Guo, Ganqu Cui, Lifan Yuan, Ning Ding, Zexu Sun, Bowen Sun, Huimin Chen, Ruobing Xie, Jie Zhou, Yankai Lin, Zhiyuan Liu, Maosong Sun:
Controllable Preference Optimization: Toward Controllable Multi-Objective Alignment. EMNLP 2024: 1437-1454 - [c80]Jianxing Yu, Shiqi Wang, Han Yin, Zhenlong Sun, Ruobing Xie, Bo Zhang, Yanghui Rao:
Multimodal Clickbait Detection by De-confounding Biases Using Causal Representation Inference. EMNLP 2024: 10300-10317 - [c79]Weize Chen, Chenfei Yuan, Jiarui Yuan, Yusheng Su, Chen Qian, Cheng Yang, Ruobing Xie, Zhiyuan Liu, Maosong Sun:
Beyond Natural Language: LLMs Leveraging Alternative Formats for Enhanced Reasoning and Communication. EMNLP (Findings) 2024: 10626-10641 - [c78]Junjie Zhang, Ruobing Xie, Wenqi Sun, Leyu Lin, Xin Zhao, Ji-Rong Wen:
AuriSRec: Adversarial User Intention Learning in Sequential Recommendation. EMNLP (Findings) 2024: 12580-12592 - [c77]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:
AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors. ICLR 2024 - [c76]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:
ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs. ICLR 2024 - [c75]Ganqu Cui, Lifan Yuan, Ning Ding, Guanming Yao, Bingxiang He, Wei Zhu, Yuan Ni, Guotong Xie, Ruobing Xie, Yankai Lin, Zhiyuan Liu, Maosong Sun:
ULTRAFEEDBACK: Boosting Language Models with Scaled AI Feedback. ICML 2024 - [c74]Zhengyan Zhang, Chaojun Xiao, Qiujieli Qin, Yankai Lin, Zhiyuan Zeng, Xu Han, Zhiyuan Liu, Ruobing Xie, Maosong Sun, Jie Zhou:
Exploring the Benefit of Activation Sparsity in Pre-training. ICML 2024 - [c73]Haokai Ma, Ruobing Xie, Lei Meng, Yimeng Yang, Xingwu Sun, Zhanhui Kang:
SeeDRec: Sememe-based Diffusion for Sequential Recommendation. IJCAI 2024: 2270-2278 - [c72]Yiqing Wu, Ruobing Xie, Zhao Zhang, Xu Zhang, Fuzhen Zhuang, Leyu Lin, Zhanhui Kang, Yongjun Xu:
DFGNN: Dual-frequency Graph Neural Network for Sign-aware Feedback. KDD 2024: 3437-3447 - [c71]Guipeng Xv, Xinyu Li, Ruobing Xie, Chen Lin, Chong Liu, Feng Xia, Zhanhui Kang, Leyu Lin:
Improving Multi-modal Recommender Systems by Denoising and Aligning Multi-modal Content and User Feedback. KDD 2024: 3645-3656 - [c70]Yudong Zhang, Ruobing Xie, Jiansheng Chen, Xingwu Sun, Yu Wang:
PIP: Detecting Adversarial Examples in Large Vision-Language Models via Attention Patterns of Irrelevant Probe Questions. ACM Multimedia 2024: 11175-11183 - [c69]Zekai Qu, Ruobing Xie, Chaojun Xiao, Zhanhui Kang, Xingwu Sun:
The Elephant in the Room: Rethinking the Usage of Pre-trained Language Model in Sequential Recommendation. RecSys 2024: 53-62 - [c68]Xiaoyu Zhang, Ruobing Xie, Yougang Lyu, Xin Xin, Pengjie Ren, Mingfei Liang, Bo Zhang, Zhanhui Kang, Maarten de Rijke, Zhaochun Ren:
Towards Empathetic Conversational Recommender Systems. RecSys 2024: 84-93 - [c67]Haokai Ma, Yimeng Yang, Lei Meng, Ruobing Xie, Xiangxu Meng:
Multimodal Conditioned Diffusion Model for Recommendation. WWW (Companion Volume) 2024: 1733-1740 - [c66]Junjie Zhang, Yupeng Hou, Ruobing Xie, Wenqi Sun, Julian J. McAuley, Wayne Xin Zhao, Leyu Lin, Ji-Rong Wen:
AgentCF: Collaborative Learning with Autonomous Language Agents for Recommender Systems. WWW 2024: 3679-3689 - [i80]Wenqi Sun, Ruobing Xie, Junjie Zhang, Wayne Xin Zhao, Leyu Lin, Ji-Rong Wen:
Distillation is All You Need for Practically Using Different Pre-trained Recommendation Models. CoRR abs/2401.00797 (2024) - [i79]Haokai Ma, Ruobing Xie, Lei Meng, Xin Chen, Xu Zhang, Leyu Lin, Zhanhui Kang:
Plug-in Diffusion Model for Sequential Recommendation. CoRR abs/2401.02913 (2024) - [i78]Weize Chen, Chenfei Yuan, Jiarui Yuan, Yusheng Su, Chen Qian, Cheng Yang, Ruobing Xie, Zhiyuan Liu, Maosong Sun:
Beyond Natural Language: LLMs Leveraging Alternative Formats for Enhanced Reasoning and Communication. CoRR abs/2402.18439 (2024) - [i77]Yiju Guo, Ganqu Cui, Lifan Yuan, Ning Ding, Jiexin Wang, Huimin Chen, Bowen Sun, Ruobing Xie, Jie Zhou, Yankai Lin, Zhiyuan Liu, Maosong Sun:
Controllable Preference Optimization: Toward Controllable Multi-Objective Alignment. CoRR abs/2402.19085 (2024) - [i76]Ning Ding, Yulin Chen, Ganqu Cui, Xingtai Lv, Weilin Zhao, Ruobing Xie, Bowen Zhou, Zhiyuan Liu, Maosong Sun:
Mastering Text, Code and Math Simultaneously via Fusing Highly Specialized Language Models. CoRR abs/2403.08281 (2024) - [i75]Jiazhen Liu, Yuhan Fu, Ruobing Xie, Runquan Xie, Xingwu Sun, Fengzong Lian, Zhanhui Kang, Xirong Li:
PhD: A Prompted Visual Hallucination Evaluation Dataset. CoRR abs/2403.11116 (2024) - [i74]Yidan Wang, Zhaochun Ren, Weiwei Sun, Jiyuan Yang, Zhixiang Liang, Xin Chen, Ruobing Xie, Su Yan, Xu Zhang, Pengjie Ren, Zhumin Chen, Xin Xin:
Enhanced Generative Recommendation via Content and Collaboration Integration. CoRR abs/2403.18480 (2024) - [i73]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:
Advancing LLM Reasoning Generalists with Preference Trees. CoRR abs/2404.02078 (2024) - [i72]Zekai Qu, Ruobing Xie, Chaojun Xiao, Xingwu Sun, Zhanhui Kang:
The Elephant in the Room: Rethinking the Usage of Pre-trained Language Model in Sequential Recommendation. CoRR abs/2404.08796 (2024) - [i71]Yiqing Wu, Ruobing Xie, Zhao Zhang, Fuzhen Zhuang, Xu Zhang, Leyu Lin, Zhanhui Kang, Yongjun Xu:
ID-centric Pre-training for Recommendation. CoRR abs/2405.03562 (2024) - [i70]Yiqing Wu, Ruobing Xie, Zhao Zhang, Xu Zhang, Fuzhen Zhuang, Leyu Lin, Zhanhui Kang, Yongjun Xu:
DFGNN: Dual-frequency Graph Neural Network for Sign-aware Feedback. CoRR abs/2405.15280 (2024) - [i69]Changshuo Zhang, Teng Shi, Xiao Zhang, Yanping Zheng, Ruobing Xie, Qi Liu, Jun Xu, Ji-Rong Wen:
QAGCF: Graph Collaborative Filtering for Q&A Recommendation. CoRR abs/2406.04828 (2024) - [i68]Guipeng Xv, Xinyu Li, Ruobing Xie, Chen Lin, Chong Liu, Feng Xia, Zhanhui Kang, Leyu Lin:
Improving Multi-modal Recommender Systems by Denoising and Aligning Multi-modal Content and User Feedback. CoRR abs/2406.12501 (2024) - [i67]Weize Chen, Ziming You, Ran Li, Yitong Guan, Chen Qian, Chenyang Zhao, Cheng Yang, Ruobing Xie, Zhiyuan Liu, Maosong Sun:
Internet of Agents: Weaving a Web of Heterogeneous Agents for Collaborative Intelligence. CoRR abs/2407.07061 (2024) - [i66]Changshuo Zhang, Teng Shi, Xiao Zhang, Qi Liu, Ruobing Xie, Jun Xu, Ji-Rong Wen:
Modeling Domain and Feedback Transitions for Cross-Domain Sequential Recommendation. CoRR abs/2408.08209 (2024) - [i65]An Wang, Xingwu Sun, Ruobing Xie, Shuaipeng Li, Jiaqi Zhu, Zhen Yang, Pinxue Zhao, J. N. Han, Zhanhui Kang, Di Wang, Naoaki Okazaki, Cheng-Zhong Xu:
HMoE: Heterogeneous Mixture of Experts for Language Modeling. CoRR abs/2408.10681 (2024) - [i64]Yudong Zhang, Ruobing Xie, Jiansheng Chen, Xingwu Sun, Yu Wang:
PIP: Detecting Adversarial Examples in Large Vision-Language Models via Attention Patterns of Irrelevant Probe Questions. CoRR abs/2409.05076 (2024) - [i63]Haokai Ma, Ruobing Xie, Lei Meng, Fuli Feng, Xiaoyu Du, Xingwu Sun, Zhanhui Kang, Xiangxu Meng:
Negative Sampling in Recommendation: A Survey and Future Directions. CoRR abs/2409.07237 (2024) - [i62]Ang Lv, Ruobing Xie, Xingwu Sun, Zhanhui Kang, Rui Yan:
Language Models "Grok" to Copy. CoRR abs/2409.09281 (2024) - [i61]Xiaoyu Zhang, Ruobing Xie, Yougang Lyu, Xin Xin, Pengjie Ren, Mingfei Liang, Bo Zhang, Zhanhui Kang, Maarten de Rijke, Zhaochun Ren:
Towards Empathetic Conversational Recommender Systems. CoRR abs/2409.10527 (2024) - [i60]Zhengyan Zhang, Chaojun Xiao, Qiujieli Qin, Yankai Lin, Zhiyuan Zeng, Xu Han, Zhiyuan Liu, Ruobing Xie, Maosong Sun, Jie Zhou:
Exploring the Benefit of Activation Sparsity in Pre-training. CoRR abs/2410.03440 (2024) - [i59]Jianxing Yu, Shiqi Wang, Han Yin, Zhenlong Sun, Ruobing Xie, Bo Zhang, Yanghui Rao:
Multimodal Clickbait Detection by De-confounding Biases Using Causal Representation Inference. CoRR abs/2410.07673 (2024) - [i58]Yuhan Fu, Ruobing Xie, Jiazhen Liu, Bangxiang Lan, Xingwu Sun, Zhanhui Kang, Xirong Li:
Magnifier Prompt: Tackling Multimodal Hallucination via Extremely Simple Instructions. CoRR abs/2410.11701 (2024) - [i57]Jiayi Liao, Xiangnan He, Ruobing Xie, Jiancan Wu, Yancheng Yuan, Xingwu Sun, Zhanhui Kang, Xiang Wang:
RosePO: Aligning LLM-based Recommenders with Human Values. CoRR abs/2410.12519 (2024) - [i56]Zhen Yang, J. N. Han, Kan Wu, Ruobing Xie, An Wang, Xingwu Sun, Zhanhui Kang:
Lossless KV Cache Compression to 2%. CoRR abs/2410.15252 (2024) - [i55]Chonghua Liao, Ruobing Xie, Xingwu Sun, Haowen Sun, Zhanhui Kang:
Exploring Forgetting in Large Language Model Pre-Training. CoRR abs/2410.17018 (2024) - [i54]Yixing Li, Ruobing Xie, Xingwu Sun, Yu Cheng, Zhanhui Kang:
Continuous Speech Tokenizer in Text To Speech. CoRR abs/2410.17081 (2024) - [i53]Wei Chen, Meng Yuan, Zhao Zhang, Ruobing Xie, Fuzhen Zhuang, Deqing Wang, Rui Liu:
FairDgcl: Fairness-aware Recommendation with Dynamic Graph Contrastive Learning. CoRR abs/2410.17555 (2024) - 2023
- [j12]Chaojun Xiao, Ruobing Xie, Yuan Yao, Zhiyuan Liu, Maosong Sun, Xu Zhang, Leyu Lin:
UPRec: User-aware Pre-training for sequential Recommendation. AI Open 4: 137-144 (2023) - [j11]Junjie Huang, Ruobing Xie, Qi Cao, Huawei Shen, Shaoliang Zhang, Feng Xia, Xueqi Cheng:
Negative Can Be Positive: Signed Graph Neural Networks for Recommendation. Inf. Process. Manag. 60(4): 103403 (2023) - [j10]Yu Zhao, Han Zhou, Anxiang Zhang, Ruobing Xie, Qing Li, Fuzhen Zhuang:
Connecting Embeddings Based on Multiplex Relational Graph Attention Networks for Knowledge Graph Entity Typing. IEEE Trans. Knowl. Data Eng. 35(5): 4608-4620 (2023) - [j9]Xumin Chen, Ruobing Xie, Zhijie Qiu, Peng Cui, Ziwei Zhang, Shukai Liu, Shiqiang Yang, Bo Zhang, Leyu Lin:
Group-based social diffusion in recommendation. World Wide Web (WWW) 26(4): 1775-1792 (2023) - [c65]Yuan Yao, Tianyu Yu, Ao Zhang, Mengdi Li, Ruobing Xie, Cornelius Weber, Zhiyuan Liu, Hai-Tao Zheng, Stefan Wermter, Tat-Seng Chua, Maosong Sun:
Visually Grounded Commonsense Knowledge Acquisition. AAAI 2023: 6583-6592 - [c64]Ting Jiang, Deqing Wang, Fuzhen Zhuang, Ruobing Xie, Feng Xia:
Pruning Pre-trained Language Models Without Fine-Tuning. ACL (1) 2023: 594-605 - [c63]Zhengyan Zhang, Zhiyuan Zeng, Yankai Lin, Chaojun Xiao, Xiaozhi Wang, Xu Han, Zhiyuan Liu, Ruobing Xie, Maosong Sun, Jie Zhou:
Emergent Modularity in Pre-trained Transformers. ACL (Findings) 2023: 4066-4083 - [c62]Yujia Qin, Zihan Cai, Dian Jin, Lan Yan, Shihao Liang, Kunlun Zhu, Yankai Lin, Xu Han, Ning Ding, Huadong Wang, Ruobing Xie, Fanchao Qi, Zhiyuan Liu, Maosong Sun, Jie Zhou:
WebCPM: Interactive Web Search for Chinese Long-form Question Answering. ACL (1) 2023: 8968-8988 - [c61]Yujia Qin, Cheng Qian, Xu Han, Yankai Lin, Huadong Wang, Ruobing Xie, Zhiyuan Liu, Maosong Sun, Jie Zhou:
Recyclable Tuning for Continual Pre-training. ACL (Findings) 2023: 11403-11426 - [c60]Junjie Huang, Qi Cao, Ruobing Xie, Shaoliang Zhang, Feng Xia, Huawei Shen, Xueqi Cheng:
Adversarial Learning Data Augmentation for Graph Contrastive Learning in Recommendation. DASFAA (2) 2023: 373-388 - [c59]Ruobing Xie, Zhijie Qiu, Bo Zhang, Leyu Lin:
Multi-granularity Item-Based Contrastive Recommendation. DASFAA (2) 2023: 406-416 - [c58]Haojie Zhang, Mingfei Liang, Ruobing Xie, Zhenlong Sun, Bo Zhang, Leyu Lin:
Better Pre-Training by Reducing Representation Confusion. EACL (Findings) 2023: 2280-2291 - [c57]Chaojun Xiao, Yuqi Luo, Wenbin Zhang, Pengle Zhang, Xu Han, Yankai Lin, Zhengyan Zhang, Ruobing Xie, Zhiyuan Liu, Maosong Sun, Jie Zhou:
Variator: Accelerating Pre-trained Models with Plug-and-Play Compression Modules. EMNLP (Findings) 2023: 9947-9959 - [c56]Weize Chen, Xiaoyue Xu, Xu Han, Yankai Lin, Ruobing Xie, Zhiyuan Liu, Maosong Sun, Jie Zhou:
Boosting Inference Efficiency: Unleashing the Power of Parameter-Shared Pre-trained Language Models. EMNLP (Findings) 2023: 11052-11067 - [c55]Chong Liu, Ruobing Xie, Xiaoyang Liu, Pinzheng Wang, Rongqin Zheng, Lixin Zhang, Juntao Li, Feng Xia, Leyu Lin:
Future Augmentation with Self-distillation in Recommendation. ECML/PKDD (6) 2023: 602-618 - [c54]Haokai Ma, Ruobing Xie, Lei Meng, Xin Chen, Xu Zhang, Leyu Lin, Jie Zhou:
Exploring False Hard Negative Sample in Cross-Domain Recommendation. RecSys 2023: 502-514 - [c53]Rui Ding, Ruobing Xie, Xiaobo Hao, Xiaochun Yang, Kaikai Ge, Xu Zhang, Jie Zhou, Leyu Lin:
Interpretable User Retention Modeling in Recommendation. RecSys 2023: 702-708 - [c52]Wenqi Sun, Ruobing Xie, Junjie Zhang, Wayne Xin Zhao, Leyu Lin, Ji-Rong Wen:
Generative Next-Basket Recommendation. RecSys 2023: 737-743 - [c51]Yiqing Wu, Ruobing Xie, Zhao Zhang, Yongchun Zhu, Fuzhen Zhuang, Jie Zhou, Yongjun Xu, Qing He:
Attacking Pre-trained Recommendation. SIGIR 2023: 1811-1815 - [c50]Ruobing Xie, Lin Ma, Shaoliang Zhang, Feng Xia, Leyu Lin:
Reweighting Clicks with Dwell Time in Recommendation. WWW (Companion Volume) 2023: 341-345 - [c49]Hong Chen, Xin Wang, Ruobing Xie, Yuwei Zhou, Wenwu Zhu:
Cross-domain Recommendation with Behavioral Importance Perception. WWW 2023: 1294-1304 - [i52]Junjie Huang, Qi Cao, Ruobing Xie, Shaoliang Zhang, Feng Xia, Huawei Shen, Xueqi Cheng:
Adversarial Learning Data Augmentation for Graph Contrastive Learning in Recommendation. CoRR abs/2302.02317 (2023) - [i51]Huishi Luo, Fuzhen Zhuang, Ruobing Xie, Hengshu Zhu, Deqing Wang:
A Survey on Causal Inference for Recommendation. CoRR abs/2303.11666 (2023) - [i50]Haokai Ma, Ruobing Xie, Lei Meng, Xin Chen, Xu Zhang, Leyu Lin, Jie Zhou:
Triple Sequence Learning for Cross-domain Recommendation. CoRR abs/2304.05027 (2023) - [i49]Yiqing Wu, Ruobing Xie, Zhao Zhang, Yongchun Zhu, Fuzhen Zhuang, Jie Zhou, Yongjun Xu, Qing He:
Attacking Pre-trained Recommendation. CoRR abs/2305.03995 (2023) - [i48]Yujia Qin, Zihan Cai, Dian Jin, Lan Yan, Shihao Liang, Kunlun Zhu, Yankai Lin, Xu Han, Ning Ding, Huadong Wang, Ruobing Xie, Fanchao Qi, Zhiyuan Liu, Maosong Sun, Jie Zhou:
WebCPM: Interactive Web Search for Chinese Long-form Question Answering. CoRR abs/2305.06849 (2023) - [i47]Junjie Zhang, Ruobing Xie, Yupeng Hou, Wayne Xin Zhao, Leyu Lin, Ji-Rong Wen:
Recommendation as Instruction Following: A Large Language Model Empowered Recommendation Approach. CoRR abs/2305.07001 (2023) - [i46]Yujia Qin, Cheng Qian, Xu Han, Yankai Lin, Huadong Wang, Ruobing Xie, Zhiyuan Liu, Maosong Sun, Jie Zhou:
Recyclable Tuning for Continual Pre-training. CoRR abs/2305.08702 (2023) - [i45]Yupeng Hou, Junjie Zhang, Zihan Lin, Hongyu Lu, Ruobing Xie, Julian J. McAuley, Wayne Xin Zhao:
Large Language Models are Zero-Shot Rankers for Recommender Systems. CoRR abs/2305.08845 (2023) - [i44]Zhengyan Zhang, Zhiyuan Zeng, Yankai Lin, Chaojun Xiao, Xiaozhi Wang, Xu Han, Zhiyuan Liu, Ruobing Xie, Maosong Sun, Jie Zhou:
Emergent Modularity in Pre-trained Transformers. CoRR abs/2305.18390 (2023) - [i43]Yujia Qin, Shihao Liang, Yining Ye, Kunlun Zhu, Lan Yan, Yaxi Lu, Yankai Lin, Xin Cong, Xiangru Tang, Bill Qian, Sihan Zhao, Runchu Tian, Ruobing Xie, Jie Zhou, Mark Gerstein, Dahai Li, Zhiyuan Liu, Maosong Sun:
ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs. CoRR abs/2307.16789 (2023) - [i42]Chong Liu, Xiaoyang Liu, Ruobing Xie, Lixin Zhang, Feng Xia, Leyu Lin:
Learning from All Sides: Diversified Positive Augmentation via Self-distillation in Recommendation. CoRR abs/2308.07629 (2023) - [i41]Weize Chen, Yusheng Su, Jingwei Zuo, Cheng Yang, Chenfei Yuan, Chen Qian, Chi-Min Chan, Yujia Qin, Yaxi Lu, Ruobing Xie, Zhiyuan Liu, Maosong Sun, Jie Zhou:
AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors in Agents. CoRR abs/2308.10848 (2023) - [i40]Junjie Zhang, Yupeng Hou, Ruobing Xie, Wenqi Sun, Julian J. McAuley, Wayne Xin Zhao, Leyu Lin, Ji-Rong Wen:
AgentCF: Collaborative Learning with Autonomous Language Agents for Recommender Systems. CoRR abs/2310.09233 (2023) - [i39]Weize Chen, Xiaoyue Xu, Xu Han, Yankai Lin, Ruobing Xie, Zhiyuan Liu, Maosong Sun, Jie Zhou:
Boosting Inference Efficiency: Unleashing the Power of Parameter-Shared Pre-trained Language Models. CoRR abs/2310.12818 (2023) - [i38]Zekai Qu, Ruobing Xie, Chaojun Xiao, Yuan Yao, Zhiyuan Liu, Fengzong Lian, Zhanhui Kang, Jie Zhou:
Thoroughly Modeling Multi-domain Pre-trained Recommendation as Language. CoRR abs/2310.13540 (2023) - [i37]Chaojun Xiao, Yuqi Luo, Wenbin Zhang, Pengle Zhang, Xu Han, Yankai Lin, Zhengyan Zhang, Ruobing Xie, Zhiyuan Liu, Maosong Sun, Jie Zhou:
Variator: Accelerating Pre-trained Models with Plug-and-Play Compression Modules. CoRR abs/2310.15724 (2023) - [i36]Wenqi Sun, Ruobing Xie, Shuqing Bian, Wayne Xin Zhao, Jie Zhou:
Universal Multi-modal Multi-domain Pre-trained Recommendation. CoRR abs/2311.01831 (2023) - [i35]Xiaozhi Wang, Hao Peng, Yong Guan, Kaisheng Zeng, Jianhui Chen, Lei Hou, Xu Han, Yankai Lin, Zhiyuan Liu, Ruobing Xie, Jie Zhou, Juanzi Li:
MAVEN-Arg: Completing the Puzzle of All-in-One Event Understanding Dataset with Event Argument Annotation. CoRR abs/2311.09105 (2023) - 2022
- [j8]Shuokai Li, Ruobing Xie, Yongchun Zhu, Fuzhen Zhuang, Zhenwei Tang, Wayne Xin Zhao, Qing He:
Self-Supervised learning for Conversational Recommendation. Inf. Process. Manag. 59(6): 103067 (2022) - [j7]Yu Zhao, Huali Feng, Han Zhou, Yanruo Yang, Xingyan Chen, Ruobing Xie, Fuzhen Zhuang, Qing Li:
EIGAT: Incorporating global information in local attention for knowledge representation learning. Knowl. Based Syst. 237: 107909 (2022) - [j6]Ruobing Xie, Qi Liu, Shukai Liu, Ziwei Zhang, Peng Cui, Bo Zhang, Leyu Lin:
Improving Accuracy and Diversity in Matching of Recommendation With Diversified Preference Network. IEEE Trans. Big Data 8(4): 955-967 (2022) - [j5]Fanjin Zhang, Jie Tang, Xueyi Liu, Zhenyu Hou, Yuxiao Dong, Jing Zhang, Xiao Liu, Ruobing Xie, Kai Zhuang, Xu Zhang, Leyu Lin, Philip S. Yu:
Understanding WeChat User Preferences and "Wow" Diffusion. IEEE Trans. Knowl. Data Eng. 34(12): 6033-6046 (2022) - [c48]Yuan Yao, Bowen Dong, Ao Zhang, Zhengyan Zhang, Ruobing Xie, Zhiyuan Liu, Leyu Lin, Maosong Sun, Jianyong Wang:
Prompt Tuning for Discriminative Pre-trained Language Models. ACL (Findings) 2022: 3468-3473 - [c47]Ping Nie, Yujie Lu, Shengyu Zhang, Ming Zhao, Ruobing Xie, William Yang Wang, Yi Ren:
MIC: Model-agnostic Integrated Cross-channel Recommender. CIKM 2022: 3400-3409 - [c46]Ruobing Xie, Cheng Ling, Shaoliang Zhang, Feng Xia, Leyu Lin:
Multi-granularity Fatigue in Recommendation. CIKM 2022: 4595-4599 - [c45]Yiqing Wu, Ruobing Xie, Yongchun Zhu, Xiang Ao, Xin Chen, Xu Zhang, Fuzhen Zhuang, Leyu Lin, Qing He:
Multi-view Multi-behavior Contrastive Learning in Recommendation. DASFAA (2) 2022: 166-182 - [c44]Ruobing Xie, Qi Liu, Liangdong Wang, Shukai Liu, Bo Zhang, Leyu Lin:
Contrastive Cross-domain Recommendation in Matching. KDD 2022: 4226-4236 - [c43]Shuokai Li, Yongchun Zhu, Ruobing Xie, Zhenwei Tang, Zhao Zhang, Fuzhen Zhuang, Qing He, Hui Xiong:
Customized Conversational Recommender Systems. ECML/PKDD (2) 2022: 740-756 - [c42]Shuokai Li, Ruobing Xie, Yongchun Zhu, Xiang Ao, Fuzhen Zhuang, Qing He:
User-Centric Conversational Recommendation with Multi-Aspect User Modeling. SIGIR 2022: 223-233 - [c41]Yiqing Wu, Ruobing Xie, Yongchun Zhu, Fuzhen Zhuang, Xiang Ao, Xu Zhang, Leyu Lin, Qing He:
Selective Fairness in Recommendation via Prompts. SIGIR 2022: 2657-2662 - [c40]Ruobing Xie, Yalong Wang, Rui Wang, Yuanfu Lu, Yuanhang Zou, Feng Xia, Leyu Lin:
Long Short-Term Temporal Meta-learning in Online Recommendation. WSDM 2022: 1168-1176 - [c39]Ruobing Xie, Shaoliang Zhang, Rui Wang