科研论文
2023
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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.
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023. (CCF B, Outstanding Paper Award)
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Wentao Deng, Jiahuan Pei, Keyi Kong, Zhe Chen, Furu Wei, Yujun Li, Zhaochun Ren, Zhumin Chen, Pengjie Ren. Syllogistic Reasoning for Legal Judgment Analysis.
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023. (CCF B)
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Xuanfan Ni, Hongliang Dai, Zhaochun Ren, Piji Li. Multi-Source Multi-Type Knowledge Exploration and Exploitation for Dialogue Generation.
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023. (CCF B)
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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.
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023. (CCF B)
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Yukun Zhao, Lingyong Yan, Weiwei Sun, Chong Meng, Shuaiqiang Wang, Zhicong Cheng, Zhaochun Ren, Dawei Yin. DiQAD: A Benchmark Dataset for End-to-End Open-domain Dialogue Assessment.
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023. (CCF B)
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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.
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023. (CCF B)
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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.
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023. (CCF B)
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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.
Neural Information Processing Systems (NeurIPS), 2023. (CCF A)
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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.
ACM International Conference on Information and Knowledge Management (CIKM), 2023. (CCF B)
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Wentao Deng, Jiahuan Pei, Zhaochun Ren, Zhumin Chen, Pengjie Ren. Intent-calibrated Self-training for Answer Selection in Open-domain Dialogues.
Transactions of ACL (TACL). (CCF B)
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Weiwei Sun, Hengyi Cai, Hongshen Chen, Pengjie Ren, Zhumin Chen, Maarten de Rijke, Zhaochun Ren. Answering Ambiguous Questions via Iterative Prompting.
The 61st Annual Meeting of the Association for Computational Linguistics (ACL), 2023. (CCF A)
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Zhengliang Shi, Weiwei Sun, Shuo Zhang, Zhen Zhang, Pengjie Ren, Zhaochun Ren. RADE: Reference-Assisted Dialogue Evaluation for Open-Domain Dialogue.
The 61st Annual Meeting of the Association for Computational Linguistics (ACL), 2023. (CCF A)
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Shen Gao, Xin Chen, Mingzhe Li, Xiuying Chen, Jinpeng Li, Dongyan Zhao, Rui Yan. Dialogue Summarization with Structure-aware Graph Modeling via Static-Dynamic Fused Graph.
The 61st Annual Meeting of the Association for Computational Linguistics (ACL), 2023. (CCF A)
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Shen Gao, Zhitao Yao, Chongyang Tao, Xiuying Chen, Pengjie Ren, Zhaochun Ren, Zhumin Chen. UMSE: Unified Multi-scenario Summarization Evaluation.
The 61st Annual Meeting of the Association for Computational Linguistics (ACL), 2023. (CCF A)
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Quan Tu, Shen Gao, Xiaolong Wu, Zhao Cao, Jirong Wen, Rui Yan. SSP: Self-Supervised Post-training for Conversational Search.
The 61st Annual Meeting of the Association for Computational Linguistics (ACL), 2023. (CCF A)
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Yujie Lin, Chenyang Wang, Zhumin Chen, Zhaochun Ren, Xin Xin, Qiang Yan, Maarten de Rijke, Xiuzhen Cheng, Pengjie Ren. A Self-Correcting Sequential Recommender.
The Web Conference (WWW), 2023. (CCF A)
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Xin Xin, Xiangyuan Liu, Hanbing Wang, Pengjie Ren, Zhumin Chen, JiaHuan Lei, XinLei Shi, Hengliang Luo, Joemon Jose, Maarten de Rijke, Zhaochun Ren. Improving Implicit Feedback-Based Recommendation through Multi-Behavior Alignment.
The 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2023. (CCF A)
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Zhaochun Ren, Na Huang, Yidan Wang, Pengjie Ren, Jun Ma, JiaHuan Lei, XinLei Shi, Hengliang Luo, Joemon Jose, Xin Xin. Contrastive State Augmentations for Reinforcement Learning-Based Recommender Systems.
The 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2023. (CCF A)
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Shuyu Guo, Shuo Zhang, Weiwei Sun, Pengjie Ren, Zhumin Chen, Zhaochun Ren. Towards Explainable Conversational Recommender Systems.
The 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2023. (CCF A)
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Yougang Lyu, Piji Li, Yechang Yang, Maarten de Rijke, Pengjie Ren, Yukun Zhao, Dawei Yin, Zhaochun Ren. Feature-Level Debiased Natural Language Understanding.
The 37th AAAI Conference on Artificial Intelligence (AAAI), 2023. (CCF A)
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Weiwei Sun, Zhengliang Shi, Shen Gao, Pengjie Ren, Maarten de Rijke, Zhaochun. Contrastive Learning Reduces Hallucination in Conversations.
The 37th AAAI Conference on Artificial Intelligence (AAAI), 2023. (CCF A)
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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.
The 16th ACM International Conference on Web Search and Data Mining(WSDM), 2023. (CCF B)
