Sunhao Dai

According to our database, Sunhao Dai authored at least 13 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Source Echo Chamber: Exploring the Escalation of Source Bias in User, Data, and Recommender System Feedback Loop.

Yuqi Zhou, Sunhao Dai, Liang Pang, Gang Wang, Zhenhua Dong, Jun Xu, Ji-Rong Wen

CoRR, 2024

Tool Learning with Large Language Models: A Survey.

Changle Qu, Sunhao Dai, Xiaochi Wei, Hengyi Cai, Shuaiqiang Wang, Dawei Yin, Jun Xu, Ji-Rong Wen

CoRR, 2024

ReCODE: Modeling Repeat Consumption with Neural ODE.

Sunhao Dai, Changle Qu, Sirui Chen, Xiao Zhang, Jun Xu

CoRR, 2024

Cocktail: A Comprehensive Information Retrieval Benchmark with LLM-Generated Documents Integration.

Sunhao Dai, Weihao Liu, Yuqi Zhou, Liang Pang, Rongju Ruan, Gang Wang, Zhenhua Dong, Jun Xu, Ji-Rong Wen

CoRR, 2024

COLT: Towards Completeness-Oriented Tool Retrieval for Large Language Models.

Changle Qu, Sunhao Dai, Xiaochi Wei, Hengyi Cai, Shuaiqiang Wang, Dawei Yin, Jun Xu, Ji-Rong Wen

CoRR, 2024

Unifying Bias and Unfairness in Information Retrieval: A Survey of Challenges and Opportunities with Large Language Models.

Sunhao Dai, Chen Xu, Shicheng Xu, Liang Pang, Zhenhua Dong, Jun Xu

CoRR, 2024

UOEP: User-Oriented Exploration Policy for Enhancing Long-Term User Experiences in Recommender Systems.

Changshuo Zhang, Sirui Chen, Xiao Zhang, Sunhao Dai, Weijie Yu, Jun Xu

CoRR, 2024

2023

LLMs may Dominate Information Access: Neural Retrievers are Biased Towards LLM-Generated Texts.

Sunhao Dai, Yuqi Zhou, Liang Pang, Weihao Liu, Xiaolin Hu, Yong Liu, Xiao Zhang, Jun Xu

CoRR, 2023

Uncovering ChatGPT's Capabilities in Recommender Systems.

Sunhao Dai, Ninglu Shao, Haiyuan Zhao, Weijie Yu, Zihua Si, Chen Xu, Zhongxiang Sun, Xiao Zhang, Jun Xu

CoRR, 2023

Uncovering ChatGPT's Capabilities in Recommender Systems.

Sunhao Dai, Ninglu Shao, Haiyuan Zhao, Weijie Yu, Zihua Si, Chen Xu, Zhongxiang Sun, Xiao Zhang, Jun Xu

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Dually Enhanced Delayed Feedback Modeling for Streaming Conversion Rate Prediction.

Sunhao Dai, Yuqi Zhou, Jun Xu, Ji-Rong Wen

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

A Semi-Synthetic Dataset Generation Framework for Causal Inference in Recommender Systems.

Yan Lyu, Sunhao Dai, Peng Wu, Quanyu Dai, Yuhao Deng, Wenjie Hu, Zhenhua Dong, Jun Xu, Shengyu Zhu, Xiao-Hua Zhou

CoRR, 2022

Counteracting User Attention Bias in Music Streaming Recommendation via Reward Modification.

Xiao Zhang, Sunhao Dai, Jun Xu, Zhenhua Dong, Quanyu Dai, Ji-Rong Wen

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022