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2020 – today
- 2024
[j32]Zhongkun Liu
, Zhumin Chen, Zhaochun Ren, Shen Gao, Jun Ma, Pengjie Ren:
Center-retained fine-tuning for conversational question ranking through unsupervised center identification. Inf. Process. Manag. 61(2): 103578 (2024)- [j31]Weiwei Sun, Shuyu Guo, Shuo Zhang, Pengjie Ren, Zhumin Chen, Maarten de Rijke, Zhaochun Ren:
Metaphorical User Simulators for Evaluating Task-oriented Dialogue Systems. ACM Trans. Inf. Syst. 42(1): 17:1-17:29 (2024) - [j30]Chaoyu Shi, Pengjie Ren, Dongjie Fu, Xin Xin, Shansong Yang, Fei Cai, Zhaochun Ren, Zhumin Chen:
Diversifying Sequential Recommendation with Retrospective and Prospective Transformers. ACM Trans. Inf. Syst. 42(5): 132:1-132:37 (2024) - [c84]Shen Gao, Zhengliang Shi, Minghang Zhu, Bowen Fang, Xin Xin, Pengjie Ren, Zhumin Chen, Jun Ma, Zhaochun Ren:
Confucius: Iterative Tool Learning from Introspection Feedback by Easy-to-Difficult Curriculum. AAAI 2024: 18030-18038 - [c83]Jitai Hao, Weiwei Sun, Xin Xin, Qi Meng, Zhumin Chen, Pengjie Ren, Zhaochun Ren:
MEFT: Memory-Efficient Fine-Tuning through Sparse Adapter. ACL (1) 2024: 2375-2388 - [c82]Zhongkun Liu, Zheng Chen, Mengqi Zhang, Zhaochun Ren, Pengjie Ren, Zhumin Chen:
Self-Supervised Position Debiasing for Large Language Models. ACL (Findings) 2024: 2897-2917 - [c81]Pengjie Ren, Chengshun Shi, Shiguang Wu, Mengqi Zhang, Zhaochun Ren, Maarten de Rijke, Zhumin Chen, Jiahuan Pei:
MELoRA: Mini-Ensemble Low-Rank Adapters for Parameter-Efficient Fine-Tuning. ACL (1) 2024: 3052-3064 - [c80]Jiahuan Pei, Irene Viola, Haochen Huang, Junxiao Wang, Moonisa Ahsan, Fanghua Ye, Jiang Yiming, Yao Sai, Di Wang, Zhumin Chen, Pengjie Ren, Pablo César:
Autonomous Workflow for Multimodal Fine-Grained Training Assistants Towards Mixed Reality. ACL (Findings) 2024: 4051-4066 - [c79]Zhengliang Shi, Shuo Zhang, Weiwei Sun, Shen Gao, Pengjie Ren, Zhumin Chen, Zhaochun Ren:
Generate-then-Ground in Retrieval-Augmented Generation for Multi-hop Question Answering. ACL (1) 2024: 7339-7353 - [c78]Shiguang Wu, Wenda Wei, Mengqi Zhang, Zhumin Chen, Jun Ma, Zhaochun Ren, Maarten de Rijke, Pengjie Ren:
Generative Retrieval as Multi-Vector Dense Retrieval. SIGIR 2024: 1828-1838 - [c77]Xin Xin, Liu Yang, Ziqi Zhao, Pengjie Ren, Zhumin Chen, Jun Ma, Zhaochun Ren:
On the Effectiveness of Unlearning in Session-Based Recommendation. WSDM 2024: 855-863 - [c76]Jiyuan Yang, Yue Ding, Yidan Wang, Pengjie Ren, Zhumin Chen, Fei Cai, Jun Ma, Rui Zhang, Zhaochun Ren, Xin Xin:
Debiasing Sequential Recommenders through Distributionally Robust Optimization over System Exposure. WSDM 2024: 882-890 - [c75]Shen Gao, Jiabao Fang, Quan Tu, Zhitao Yao, Zhumin Chen, Pengjie Ren, Zhaochun Ren:
Generative News Recommendation. WWW 2024: 3444-3453 - [i64]Zhongkun Liu, Zheng Chen, Mengqi Zhang, Zhaochun Ren, Zhumin Chen, Pengjie Ren:
Zero-Shot Position Debiasing for Large Language Models. CoRR abs/2401.01218 (2024) - [i63]Wei Wang, Yujie Lin, Pengjie Ren, Zhumin Chen, Tsunenori Mine, Jianli Zhao, Qiang Zhao, Moyan Zhang, Xianye Ben, Yujun Li:
Privacy-Preserving Sequential Recommendation with Collaborative Confusion. CoRR abs/2401.04423 (2024) - [i62]Yougang Lyu, Lingyong Yan, Shuaiqiang Wang, Haibo Shi, Dawei Yin, Pengjie Ren, Zhumin Chen, Maarten de Rijke, Zhaochun Ren:
KnowTuning: Knowledge-aware Fine-tuning for Large Language Models. CoRR abs/2402.11176 (2024) - [i61]Mengqi Zhang, Xiaotian Ye, Qiang Liu, Pengjie Ren, Shu Wu, Zhumin Chen:
Knowledge Graph Enhanced Large Language Model Editing. CoRR abs/2402.13593 (2024) - [i60]Pengjie Ren, Chengshun Shi, Shiguang Wu, Mengqi Zhang, Zhaochun Ren, Maarten de Rijke, Zhumin Chen, Jiahuan Pei:
Mini-Ensemble Low-Rank Adapters for Parameter-Efficient Fine-Tuning. CoRR abs/2402.17263 (2024) - [i59]Zhengliang Shi, Shen Gao, Xiuyi Chen, Lingyong Yan, Haibo Shi, Dawei Yin, Zhumin Chen, Pengjie Ren, Suzan Verberne, Zhaochun Ren:
Learning to Use Tools via Cooperative and Interactive Agents. CoRR abs/2403.03031 (2024) - [i58]Shen Gao, Jiabao Fang, Quan Tu, Zhitao Yao, Zhumin Chen, Pengjie Ren, Zhaochun Ren:
Generative News Recommendation. CoRR abs/2403.03424 (2024) - [i57]Jiyuan Yang, Yuanzi Li, Jingyu Zhao, Hanbing Wang, Muyang Ma, Jun Ma, Zhaochun Ren, Mengqi Zhang, Xin Xin, Zhumin Chen, Pengjie Ren:
Uncovering Selective State Space Model's Capabilities in Lifelong Sequential Recommendation. CoRR abs/2403.16371 (2024) - [i56]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) - [i55]Shiguang Wu, Wenda Wei, Mengqi Zhang, Zhumin Chen, Jun Ma, Zhaochun Ren, Maarten de Rijke, Pengjie Ren:
Generative Retrieval as Multi-Vector Dense Retrieval. CoRR abs/2404.00684 (2024) - [i54]Ziqi Zhao, Zhaochun Ren, Liu Yang, Fajie Yuan, Pengjie Ren, Zhumin Chen, Jun Ma, Xin Xin:
Offline Trajectory Generalization for Offline Reinforcement Learning. CoRR abs/2404.10393 (2024) - [i53]Wenhao Zhang, Mengqi Zhang, Shiguang Wu, Jiahuan Pei, Zhaochun Ren, Maarten de Rijke, Zhumin Chen, Pengjie Ren:
ExcluIR: Exclusionary Neural Information Retrieval. CoRR abs/2404.17288 (2024) - [i52]Jiahuan Pei, Irene Viola, Haochen Huang, Junxiao Wang, Moonisa Ahsan, Fanghua Ye, Jiang Yiming, Yao Sai, Di Wang, Zhumin Chen, Pengjie Ren, Pablo César:
Autonomous Workflow for Multimodal Fine-Grained Training Assistants Towards Mixed Reality. CoRR abs/2405.13034 (2024) - [i51]Zhengliang Shi, Shen Gao, Xiuyi Chen, Yue Feng, Lingyong Yan, Haibo Shi, Dawei Yin, Zhumin Chen, Suzan Verberne, Zhaochun Ren:
Chain of Tools: Large Language Model is an Automatic Multi-tool Learner. CoRR abs/2405.16533 (2024) - [i50]Jitai Hao, Weiwei Sun, Xin Xin, Qi Meng, Zhumin Chen, Pengjie Ren, Zhaochun Ren:
MEFT: Memory-Efficient Fine-Tuning through Sparse Adapter. CoRR abs/2406.04984 (2024) - [i49]Zhengliang Shi, Shuo Zhang, Weiwei Sun, Shen Gao, Pengjie Ren, Zhumin Chen, Zhaochun Ren:
Generate-then-Ground in Retrieval-Augmented Generation for Multi-hop Question Answering. CoRR abs/2406.14891 (2024) - [i48]Zhiwei Xu, Hangyu Mao, Nianmin Zhang, Xin Xin, Pengjie Ren, Dapeng Li, Bin Zhang, Guoliang Fan, Zhumin Chen, Changwei Wang, Jiangjin Yin:
Beyond Local Views: Global State Inference with Diffusion Models for Cooperative Multi-Agent Reinforcement Learning. CoRR abs/2408.09501 (2024) - [i47]Mengqi Zhang, Bowen Fang, Qiang Liu, Pengjie Ren, Shu Wu, Zhumin Chen, Liang Wang:
Enhancing Multi-hop Reasoning through Knowledge Erasure in Large Language Model Editing. CoRR abs/2408.12456 (2024) - 2023
- [j29]Qingyao Ai, Ting Bai, Zhao Cao, Yi Chang, Jiawei Chen, Zhumin Chen, Zhiyong Cheng, Shoubin Dong, Zhicheng Dou, Fuli Feng, Shen Gao, Jiafeng Guo, Xiangnan He, Yanyan Lan, Chenliang Li, Yiqun Liu, Ziyu Lyu, Weizhi Ma, Jun Ma, Zhaochun Ren, Pengjie Ren, Zhiqiang Wang, Mingwen Wang, Ji-Rong Wen, Le Wu, Xin Xin, Jun Xu, Dawei Yin, Peng Zhang, Fan Zhang, Weinan Zhang, Min Zhang, Xiaofei Zhu:
Information Retrieval meets Large Language Models: A strategic report from Chinese IR community. AI Open 4: 80-90 (2023) - [j28]Wenchao Sun, Muyang Ma, Pengjie Ren, Yujie Lin, Zhumin Chen, Zhaochun Ren, Jun Ma, Maarten de Rijke:
Parallel Split-Join Networks for Shared Account Cross-Domain Sequential Recommendations. IEEE Trans. Knowl. Data Eng. 35(4): 4106-4123 (2023) - [j27]Xin Xin, Jiyuan Yang, Hanbing Wang, Jun Ma, Pengjie Ren, Hengliang Luo, Xinlei Shi, Zhumin Chen, Zhaochun Ren:
On the User Behavior Leakage from Recommender System Exposure. ACM Trans. Inf. Syst. 41(3): 57:1-57:25 (2023) - [j26]Muyang Ma, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Huasheng Liang, Jun Ma, Maarten de Rijke:
Improving Transformer-based Sequential Recommenders through Preference Editing. ACM Trans. Inf. Syst. 41(3): 71:1-71:24 (2023) - [c74]Shen Gao, Zhitao Yao, Chongyang Tao, Xiuying Chen, Pengjie Ren, Zhaochun Ren, Zhumin Chen:
UMSE: Unified Multi-scenario Summarization Evaluation. ACL (Findings) 2023: 3837-3849 - [c73]Weiwei Sun, Hengyi Cai, Hongshen Chen, Pengjie Ren, Zhumin Chen, Maarten de Rijke, Zhaochun Ren:
Answering Ambiguous Questions via Iterative Prompting. ACL (1) 2023: 7669-7683 - [c72]Zihan Wang, Kai Zhao, Yongquan He, Zhumin Chen, Pengjie Ren, Maarten de Rijke, Zhaochun Ren:
Iteratively Learning Representations for Unseen Entities with Inter-Rule Correlations. CIKM 2023: 2534-2543 - [c71]Yougang Lyu, Jitai Hao, Zihan Wang, Kai Zhao, Shen Gao, Pengjie Ren, Zhumin Chen, Fang Wang, Zhaochun Ren:
Multi-Defendant Legal Judgment Prediction via Hierarchical Reasoning. EMNLP (Findings) 2023: 2198-2209 - [c70]Zihan Wang, Ziqi Zhao, Zhumin Chen, Pengjie Ren, Maarten de Rijke, Zhaochun Ren:
Generalizing Few-Shot Named Entity Recognizers to Unseen Domains with Type-Related Features. EMNLP (Findings) 2023: 2228-2240 - [c69]Zhengliang Shi, Shen Gao, Zhen Zhang, Xiuying Chen, Zhumin Chen, Pengjie Ren, Zhaochun Ren:
Towards a Unified Framework for Reference Retrieval and Related Work Generation. EMNLP (Findings) 2023: 5785-5799 - [c68]Wentao Deng, Jiahuan Pei, Keyi Kong, Zhe Chen, Furu Wei, Yujun Li, Zhaochun Ren, Zhumin Chen, Pengjie Ren:
Syllogistic Reasoning for Legal Judgment Analysis. EMNLP 2023: 13997-14009 - [c67]Weiwei Sun, Lingyong Yan, Xinyu Ma, Shuaiqiang Wang, Pengjie Ren, Zhumin Chen, Dawei Yin, Zhaochun Ren:
Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents. EMNLP 2023: 14918-14937 - [c66]Weiwei Sun, Lingyong Yan, Zheng Chen, Shuaiqiang Wang, Haichao Zhu, Pengjie Ren, Zhumin Chen, Dawei Yin, Maarten de Rijke, Zhaochun Ren:
Learning to Tokenize for Generative Retrieval. NeurIPS 2023 - [c65]Xin Xin, Xiangyuan Liu, Hanbing Wang, Pengjie Ren, Zhumin Chen, Jiahuan Lei, Xinlei Shi, Hengliang Luo, Joemon M. Jose, Maarten de Rijke, Zhaochun Ren:
Improving Implicit Feedback-Based Recommendation through Multi-Behavior Alignment. SIGIR 2023: 932-941 - [c64]Shuyu Guo, Shuo Zhang, Weiwei Sun, Pengjie Ren, Zhumin Chen, Zhaochun Ren:
Towards Explainable Conversational Recommender Systems. SIGIR 2023: 2786-2795 - [c63]Xiaoyu Zhang, Xin Xin, Dongdong Li, Wenxuan Liu, Pengjie Ren, Zhumin Chen, Jun Ma, Zhaochun Ren:
Variational Reasoning over Incomplete Knowledge Graphs for Conversational Recommendation. WSDM 2023: 231-239 - [c62]Yujie Lin, Chenyang Wang, Zhumin Chen, Zhaochun Ren, Xin Xin, Qiang Yan, Maarten de Rijke, Xiuzhen Cheng, Pengjie Ren:
A Self-Correcting Sequential Recommender. WWW 2023: 1283-1293 - [i46]Yujie Lin, Zhumin Chen, Zhaochun Ren, Chenyang Wang, Qiang Yan, Maarten de Rijke, Xiuzhen Cheng, Pengjie Ren:
Modeling Sequential Recommendation as Missing Information Imputation. CoRR abs/2301.01762 (2023) - [i45]Yujie Lin, Chenyang Wang, Zhumin Chen, Zhaochun Ren, Xin Xin, Qiang Yan, Maarten de Rijke, Xiuzhen Cheng, Pengjie Ren:
A Self-Correcting Sequential Recommender. CoRR abs/2303.02297 (2023) - [i44]Weiwei Sun, Lingyong Yan, Zheng Chen, Shuaiqiang Wang, Haichao Zhu, Pengjie Ren, Zhumin Chen, Dawei Yin, Maarten de Rijke, Zhaochun Ren:
Learning to Tokenize for Generative Retrieval. CoRR abs/2304.04171 (2023) - [i43]Xin Xin, Xiangyuan Liu, Hanbing Wang, Pengjie Ren, Zhumin Chen, Jiahuan Lei, Xinlei Shi, Hengliang Luo, Joemon M. Jose, Maarten de Rijke, Zhaochun Ren:
Improving Implicit Feedback-Based Recommendation through Multi-Behavior Alignment. CoRR abs/2305.05585 (2023) - [i42]Zihan Wang, Kai Zhao, Yongquan He, Zhumin Chen, Pengjie Ren, Maarten de Rijke, Zhaochun Ren:
Iteratively Learning Representations for Unseen Entities with Inter-Rule Correlations. CoRR abs/2305.10531 (2023) - [i41]Shen Gao, Zhitao Yao, Chongyang Tao, Xiuying Chen, Pengjie Ren, Zhaochun Ren, Zhumin Chen:
UMSE: Unified Multi-scenario Summarization Evaluation. CoRR abs/2305.16895 (2023) - [i40]Shuyu Guo, Shuo Zhang, Weiwei Sun, Pengjie Ren, Zhumin Chen, Zhaochun Ren:
Towards Explainable Conversational Recommender Systems. CoRR abs/2305.18363 (2023) - [i39]Weiwei Sun, Hengyi Cai, Hongshen Chen, Pengjie Ren, Zhumin Chen, Maarten de Rijke, Zhaochun Ren:
Answering Ambiguous Questions via Iterative Prompting. CoRR abs/2307.03897 (2023) - [i38]Wentao Deng, Jiahuan Pei, Zhaochun Ren, Zhumin Chen, Pengjie Ren:
Intent-calibrated Self-training for Answer Selection in Open-domain Dialogues. CoRR abs/2307.06703 (2023) - [i37]Qingyao Ai, Ting Bai, Zhao Cao, Yi Chang, Jiawei Chen, Zhumin Chen, Zhiyong Cheng, Shoubin Dong, Zhicheng Dou, Fuli Feng, Shen Gao, Jiafeng Guo, Xiangnan He, Yanyan Lan, Chenliang Li, Yiqun Liu, Ziyu Lyu, Weizhi Ma, Jun Ma, Zhaochun Ren, Pengjie Ren, Zhiqiang Wang, Mingwen Wang, Ji-Rong Wen, Le Wu, Xin Xin, Jun Xu, Dawei Yin, Peng Zhang, Fan Zhang, Weinan Zhang, Min Zhang, Xiaofei Zhu:
Information Retrieval Meets Large Language Models: A Strategic Report from Chinese IR Community. CoRR abs/2307.09751 (2023) - [i36]Shen Gao, Zhengliang Shi, Minghang Zhu, Bowen Fang, Xin Xin, Pengjie Ren, Zhumin Chen, Jun Ma:
Confucius: Iterative Tool Learning from Introspection Feedback by Easy-to-Difficult Curriculum. CoRR abs/2308.14034 (2023) - [i35]Zihan Wang, Ziqi Zhao, Zhumin Chen, Pengjie Ren, Maarten de Rijke, Zhaochun Ren:
Generalizing Few-Shot Named Entity Recognizers to Unseen Domains with Type-Related Features. CoRR abs/2310.09846 (2023) - [i34]Weiwei Sun, Zheng Chen, Xinyu Ma, Lingyong Yan, Shuaiqiang Wang, Pengjie Ren, Zhumin Chen, Dawei Yin, Zhaochun Ren:
Instruction Distillation Makes Large Language Models Efficient Zero-shot Rankers. CoRR abs/2311.01555 (2023) - [i33]Shiguang Wu, Xin Xin, Pengjie Ren, Zhumin Chen, Jun Ma, Maarten de Rijke, Zhaochun Ren:
Learning Robust Sequential Recommenders through Confident Soft Labels. CoRR abs/2311.02446 (2023) - [i32]Yougang Lyu, Jitai Hao, Zihan Wang, Kai Zhao, Shen Gao, Pengjie Ren, Zhumin Chen, Fang Wang, Zhaochun Ren:
Multi-Defendant Legal Judgment Prediction via Hierarchical Reasoning. CoRR abs/2312.05762 (2023) - [i31]Jiyuan Yang, Yue Ding, Yidan Wang, Pengjie Ren, Zhumin Chen, Fei Cai, Jun Ma, Rui Zhang, Zhaochun Ren, Xin Xin:
Debiasing Sequential Recommenders through Distributionally Robust Optimization over System Exposure. CoRR abs/2312.07036 (2023) - [i30]Xin Xin, Liu Yang, Ziqi Zhao, Pengjie Ren, Zhumin Chen, Jun Ma, Zhaochun Ren:
On the Effectiveness of Unlearning in Session-Based Recommendation. CoRR abs/2312.14447 (2023) - 2022
- [j25]Yougang Lyu, Zihan Wang, Zhaochun Ren, Pengjie Ren, Zhumin Chen, Xiaozhong Liu, Yujun Li, Hongsong Li, Hongye Song:
Improving legal judgment prediction through reinforced criminal element extraction. Inf. Process. Manag. 59(1): 102780 (2022) - [j24]Siyuan Wang, Zhongkun Liu, Wanjun Zhong, Ming Zhou, Zhongyu Wei, Zhumin Chen, Nan Duan:
From LSAT: The Progress and Challenges of Complex Reasoning. IEEE ACM Trans. Audio Speech Lang. Process. 30: 2201-2216 (2022) - [j23]Muyang Ma, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Lifan Zhao, Peiyu Liu, Jun Ma, Maarten de Rijke:
Mixed Information Flow for Cross-Domain Sequential Recommendations. ACM Trans. Knowl. Discov. Data 16(4): 64:1-64:32 (2022) - [c61]Qintong Li, Piji Li, Zhaochun Ren, Pengjie Ren, Zhumin Chen:
Knowledge Bridging for Empathetic Dialogue Generation. AAAI 2022: 10993-11001 - [c60]Yangjun Zhang, Pengjie Ren, Wentao Deng, Zhumin Chen, Maarten de Rijke:
Improving Multi-label Malevolence Detection in Dialogues through Multi-faceted Label Correlation Enhancement. ACL (1) 2022: 3543-3555 - [c59]Zihan Wang, Na Huang, Fei Sun, Pengjie Ren, Zhumin Chen, Hengliang Luo, Maarten de Rijke, Zhaochun Ren:
Debiasing Learning for Membership Inference Attacks Against Recommender Systems. KDD 2022: 1959-1968 - [c58]Zhaochun Ren, Zhi Tian, Dongdong Li, Pengjie Ren, Liu Yang, Xin Xin, Huasheng Liang, Maarten de Rijke, Zhumin Chen:
Variational Reasoning about User Preferences for Conversational Recommendation. SIGIR 2022: 165-175 - [c57]Guojun Yan, Jiahuan Pei, Pengjie Ren, Zhaochun Ren, Xin Xin, Huasheng Liang, Maarten de Rijke, Zhumin Chen:
ReMeDi: Resources for Multi-domain, Multi-service, Medical Dialogues. SIGIR 2022: 3013-3024 - [i29]Shanshan Wang, Zhumin Chen, Zhaochun Ren, Huasheng Liang, Qiang Yan, Pengjie Ren:
Paying More Attention to Self-attention: Improving Pre-trained Language Models via Attention Guiding. CoRR abs/2204.02922 (2022) - [i28]Zihan Wang, Na Huang, Fei Sun, Pengjie Ren, Zhumin Chen, Hengliang Luo, Maarten de Rijke, Zhaochun Ren:
Debiasing Learning for Membership Inference Attacks Against Recommender Systems. CoRR abs/2206.12401 (2022) - [i27]Xin Xin, Jiyuan Yang, Hanbing Wang, Jun Ma, Pengjie Ren, Hengliang Luo, Xinlei Shi, Zhumin Chen, Zhaochun Ren:
On the User Behavior Leakage from Recommender System Exposure. CoRR abs/2210.08435 (2022) - [i26]Xiaoyu Zhang, Xin Xin, Dongdong Li, Wenxuan Liu, Pengjie Ren, Zhumin Chen, Jun Ma, Zhaochun Ren:
Variational Reasoning over Incomplete Knowledge Graphs for Conversational Recommendation. CoRR abs/2212.11868 (2022) - 2021
- [j22]Zhumin Chen, Xueqi Cheng, Shoubin Dong, Zhicheng Dou, Jiafeng Guo, Xuanjing Huang, Yanyan Lan, Chenliang Li, Ru Li, Tie-Yan Liu, Yiqun Liu, Jun Ma, Bing Qin, Mingwen Wang, Ji-Rong Wen, Jun Xu, Min Zhang, Peng Zhang, Qi Zhang:
Information retrieval: a view from the Chinese IR community. Frontiers Comput. Sci. 15(1): 151601 (2021) - [j21]Pengjie Ren, Zhumin Chen, Zhaochun Ren, Evangelos Kanoulas, Christof Monz, Maarten de Rijke:
Conversations with Search Engines: SERP-based Conversational Response Generation. ACM Trans. Inf. Syst. 39(4): 47:1-47:29 (2021) - [c56]Zhongkun Liu, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Maarten de Rijke, Ming Zhou:
Learning to Ask Conversational Questions by Optimizing Levenshtein Distance. ACL/IJCNLP (1) 2021: 5638-5650 - [c55]Minxing Zhang, Zhaochun Ren, Zihan Wang, Pengjie Ren, Zhumin Chen, Pengfei Hu, Yang Zhang:
Membership Inference Attacks Against Recommender Systems. CCS 2021: 864-879 - [c54]Zekai Chen, Fangtian Zhong, Zhumin Chen, Xiao Zhang, Robert Pless, Xiuzhen Cheng:
DCAP: Deep Cross Attentional Product Network for User Response Prediction. CIKM 2021: 221-230 - [c53]Chuan Meng, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Tengxiao Xi, Maarten de Rijke:
Initiative-Aware Self-Supervised Learning for Knowledge-Grounded Conversations. SIGIR 2021: 522-532 - [c52]Pengjie Ren, Zhongkun Liu, Xiaomeng Song, Hongtao Tian, Zhumin Chen, Zhaochun Ren, Maarten de Rijke:
Wizard of Search Engine: Access to Information Through Conversations with Search Engines. SIGIR 2021: 533-543 - [c51]Dongdong Li, Zhaochun Ren, Pengjie Ren, Zhumin Chen, Miao Fan, Jun Ma, Maarten de Rijke:
Semi-Supervised Variational Reasoning for Medical Dialogue Generation. SIGIR 2021: 544-554 - [c50]Zihan Wang, Hongye Song, Zhaochun Ren, Pengjie Ren, Zhumin Chen, Xiaozhong Liu, Hongsong Li, Maarten de Rijke:
Cross-Domain Contract Element Extraction with a Bi-directional Feedback Clause-Element Relation Network. SIGIR 2021: 1003-1012 - [c49]Weiwei Sun, Chuan Meng, Qi Meng, Zhaochun Ren, Pengjie Ren, Zhumin Chen, Maarten de Rijke:
Conversations Powered by Cross-Lingual Knowledge. SIGIR 2021: 1442-1451 - [c48]Weiwei Sun, Shuo Zhang, Krisztian Balog, Zhaochun Ren, Pengjie Ren, Zhumin Chen, Maarten de Rijke:
Simulating User Satisfaction for the Evaluation of Task-oriented Dialogue Systems. SIGIR 2021: 2499-2506 - [c47]Qintong Li, Piji Li, Xinyi Li, Zhaochun Ren, Zhumin Chen, Maarten de Rijke:
Abstractive Opinion Tagging. WSDM 2021: 337-345 - [c46]Qiannan Cheng, Zhaochun Ren, Yujie Lin, Pengjie Ren, Zhumin Chen, Xiangyuan Liu, Maarten de Rijke:
Long Short-Term Session Search: Joint Personalized Reranking and Next Query Prediction. WWW 2021: 239-248 - [i25]Qintong Li, Piji Li, Xinyi Li, Zhaochun Ren, Zhumin Chen, Maarten de Rijke:
Abstractive Opinion Tagging. CoRR abs/2101.06880 (2021) - [i24]Weiwei Sun, Shuo Zhang, Krisztian Balog, Zhaochun Ren, Pengjie Ren, Zhumin Chen, Maarten de Rijke:
Simulating User Satisfaction for the Evaluation of Task-oriented Dialogue Systems. CoRR abs/2105.03748 (2021) - [i23]Dongdong Li, Zhaochun Ren, Pengjie Ren, Zhumin Chen, Miao Fan, Jun Ma, Maarten de Rijke:
Semi-Supervised Variational Reasoning for Medical Dialogue Generation. CoRR abs/2105.06071 (2021) - [i22]Zihan Wang, Hongye Song, Zhaochun Ren, Pengjie Ren, Zhumin Chen, Xiaozhong Liu, Hongsong Li, Maarten de Rijke:
Cross-Domain Contract Element Extraction with a Bi-directional Feedback Clause-Element Relation Network. CoRR abs/2105.06083 (2021) - [i21]Pengjie Ren, Zhongkun Liu, Xiaomeng Song, Hongtao Tian, Zhumin Chen, Zhaochun Ren, Maarten de Rijke:
Wizard of Search Engine: Access to Information Through Conversations with Search Engines. CoRR abs/2105.08301 (2021) - [i20]Zekai Chen, Fangtian Zhong, Zhumin Chen, Xiao Zhang, Robert Pless, Xiuzhen Cheng:
DCAP: Deep Cross Attentional Product Network for User Response Prediction. CoRR abs/2105.08649 (2021) - [i19]Muyang Ma, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Huasheng Liang, Jun Ma, Maarten de Rijke:
Improving Transformer-based Sequential Recommenders through Preference Editing. CoRR abs/2106.12120 (2021) - [i18]Shanshan Wang, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Huasheng Liang, Qiang Yan, Evangelos Kanoulas, Maarten de Rijke:
Few-Shot Electronic Health Record Coding through Graph Contrastive Learning. CoRR abs/2106.15467 (2021) - [i17]Zhongkun Liu, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Maarten de Rijke, Ming Zhou:
Learning to Ask Conversational Questions by Optimizing Levenshtein Distance. CoRR abs/2106.15903 (2021) - [i16]Siyuan Wang, Zhongkun Liu, Wanjun Zhong, Ming Zhou, Zhongyu Wei, Zhumin Chen, Nan Duan:
From LSAT: The Progress and Challenges of Complex Reasoning. CoRR abs/2108.00648 (2021) - [i15]Guojun Yan, Jiahuan Pei, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Huasheng Liang:
M^2-MedDialog: A Dataset and Benchmarks for Multi-domain Multi-service Medical Dialogues. CoRR abs/2109.00430 (2021) - [i14]Minxing Zhang, Zhaochun Ren, Zihan Wang, Pengjie Ren, Zhumin Chen, Pengfei Hu, Yang Zhang:
Membership Inference Attacks Against Recommender Systems. CoRR abs/2109.08045 (2021) - 2020
- [j20]Tao Lian, Lin Du, Mingfu Zhao, Chaoran Cui, Zhumin Chen, Jun Ma:
Evaluating and improving the interpretability of item embeddings using item-tag relevance information. Frontiers Comput. Sci. 14(3): 143603 (2020) - [j19]Jinhuan Liu, Xuemeng Song, Zhumin Chen, Jun Ma:
MGCM: Multi-modal generative compatibility modeling for clothing matching. Neurocomputing 414: 215-224 (2020) - [j18]