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Conference and Workshop Papers
- 2024
[c11]Sunhao Dai, Weihao Liu, Yuqi Zhou, Liang Pang, Rongju Ruan, Gang Wang, Zhenhua Dong, Jun Xu, Ji-Rong Wen:
Cocktail: A Comprehensive Information Retrieval Benchmark with LLM-Generated Documents Integration. ACL (Findings) 2024: 7052-7074- [c10]Sunhao Dai, Ninglu Shao, Jieming Zhu, Xiao Zhang, Zhenhua Dong, Jun Xu, Quanyu Dai, Ji-Rong Wen:
Modeling User Attention in Music Recommendation. ICDE 2024: 761-774 - [c9]Sunhao Dai
, Yuqi Zhou, Liang Pang, Weihao Liu, Xiaolin Hu, Yong Liu, Xiao Zhang, Gang Wang, Jun Xu:
Neural Retrievers are Biased Towards LLM-Generated Content. KDD 2024: 526-537 - [c8]Jiakai Tang, Sunhao Dai, Zexu Sun, Xu Chen, Jun Xu, Wenhui Yu, Lantao Hu, Peng Jiang, Han Li:
Towards Robust Recommendation via Decision Boundary-aware Graph Contrastive Learning. KDD 2024: 2854-2865 - [c7]Chen Yang, Sunhao Dai, Yupeng Hou, Wayne Xin Zhao, Jun Xu, Yang Song, Hengshu Zhu:
Revisiting Reciprocal Recommender Systems: Metrics, Formulation, and Method. KDD 2024: 3714-3723 - [c6]Sunhao Dai, Chen Xu, Shicheng Xu, Liang Pang, Zhenhua Dong, Jun Xu:
Bias and Unfairness in Information Retrieval Systems: New Challenges in the LLM Era. KDD 2024: 6437-6447 - [c5]Changshuo Zhang, Sirui Chen, Xiao Zhang, Sunhao Dai, Weijie Yu, Jun Xu:
Reinforcing Long-Term Performance in Recommender Systems with User-Oriented Exploration Policy. SIGIR 2024: 1850-1860 - [c4]Sunhao Dai, Changle Qu, Sirui Chen, Xiao Zhang, Jun Xu:
ReCODE: Modeling Repeat Consumption with Neural ODE. SIGIR 2024: 2599-2603 - 2023
- [c3]Sunhao Dai, Yuqi Zhou, Jun Xu, Ji-Rong Wen:
Dually Enhanced Delayed Feedback Modeling for Streaming Conversion Rate Prediction. CIKM 2023: 390-399 - [c2]Sunhao Dai, Ninglu Shao, Haiyuan Zhao, Weijie Yu, Zihua Si, Chen Xu, Zhongxiang Sun, Xiao Zhang, Jun Xu:
Uncovering ChatGPT's Capabilities in Recommender Systems. RecSys 2023: 1126-1132 - 2022
- [c1]Xiao Zhang, Sunhao Dai, Jun Xu, Zhenhua Dong, Quanyu Dai, Ji-Rong Wen:
Counteracting User Attention Bias in Music Streaming Recommendation via Reward Modification. KDD 2022: 2504-2514
Informal and Other Publications
- 2024
- [i12]Changshuo Zhang, Sirui Chen, Xiao Zhang, Sunhao Dai, Weijie Yu, Jun Xu:
UOEP: User-Oriented Exploration Policy for Enhancing Long-Term User Experiences in Recommender Systems. CoRR abs/2401.09034 (2024) - [i11]Sunhao Dai, Chen Xu, Shicheng Xu, Liang Pang, Zhenhua Dong, Jun Xu:
Unifying Bias and Unfairness in Information Retrieval: A Survey of Challenges and Opportunities with Large Language Models. CoRR abs/2404.11457 (2024) - [i10]Changle Qu, Sunhao Dai, Xiaochi Wei, Hengyi Cai, Shuaiqiang Wang, Dawei Yin, Jun Xu, Ji-Rong Wen:
COLT: Towards Completeness-Oriented Tool Retrieval for Large Language Models. CoRR abs/2405.16089 (2024) - [i9]Sunhao Dai, Weihao Liu, Yuqi Zhou, Liang Pang, Rongju Ruan, Gang Wang, Zhenhua Dong, Jun Xu, Ji-Rong Wen:
Cocktail: A Comprehensive Information Retrieval Benchmark with LLM-Generated Documents Integration. CoRR abs/2405.16546 (2024) - [i8]Sunhao Dai, Changle Qu, Sirui Chen, Xiao Zhang, Jun Xu:
ReCODE: Modeling Repeat Consumption with Neural ODE. CoRR abs/2405.16550 (2024) - [i7]Changle Qu, Sunhao Dai, Xiaochi Wei, Hengyi Cai, Shuaiqiang Wang, Dawei Yin, Jun Xu, Ji-Rong Wen:
Tool Learning with Large Language Models: A Survey. CoRR abs/2405.17935 (2024) - [i6]Yuqi Zhou, Sunhao Dai, Liang Pang, Gang Wang, Zhenhua Dong, Jun Xu, Ji-Rong Wen:
Source Echo Chamber: Exploring the Escalation of Source Bias in User, Data, and Recommender System Feedback Loop. CoRR abs/2405.17998 (2024) - [i5]Jiakai Tang, Sunhao Dai, Zexu Sun, Xu Chen, Jun Xu, Wenhui Yu, Lantao Hu, Peng Jiang, Han Li:
Towards Robust Recommendation via Decision Boundary-aware Graph Contrastive Learning. CoRR abs/2407.10184 (2024) - [i4]Chen Yang, Sunhao Dai, Yupeng Hou, Wayne Xin Zhao, Jun Xu, Yang Song, Hengshu Zhu:
Revisiting Reciprocal Recommender Systems: Metrics, Formulation, and Method. CoRR abs/2408.09748 (2024) - 2023
- [i3]Sunhao Dai, Ninglu Shao, Haiyuan Zhao, Weijie Yu, Zihua Si, Chen Xu, Zhongxiang Sun, Xiao Zhang, Jun Xu:
Uncovering ChatGPT's Capabilities in Recommender Systems. CoRR abs/2305.02182 (2023) - [i2]Sunhao Dai, Yuqi Zhou, Liang Pang, Weihao Liu, Xiaolin Hu, Yong Liu, Xiao Zhang, Jun Xu:
LLMs may Dominate Information Access: Neural Retrievers are Biased Towards LLM-Generated Texts. CoRR abs/2310.20501 (2023) - 2022
- [i1]Yan Lyu, Sunhao Dai, Peng Wu, Quanyu Dai, Yuhao Deng, Wenjie Hu, Zhenhua Dong, Jun Xu, Shengyu Zhu, Xiao-Hua Zhou:
A Semi-Synthetic Dataset Generation Framework for Causal Inference in Recommender Systems. CoRR abs/2202.11351 (2022)
Coauthor Index
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