Sunhao Dai

According to our database, Sunhao Dai authored at least 21 papers between 2022 and 2024.

Collaborative distances:

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

2024

From Exploration to Mastery: Enabling LLMs to Master Tools via Self-Driven Interactions.

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

CoRR, 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

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

Reinforcing Long-Term Performance in Recommender Systems with User-Oriented Exploration Policy.

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

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

ReCODE: Modeling Repeat Consumption with Neural ODE.

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

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Revisiting Reciprocal Recommender Systems: Metrics, Formulation, and Method.

Chen Yang, Sunhao Dai, Yupeng Hou, Wayne Xin Zhao, Jun Xu, Yang Song, Hengshu Zhu

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Towards Robust Recommendation via Decision Boundary-aware Graph Contrastive Learning.

Jiakai Tang, Sunhao Dai, Zexu Sun, Xu Chen, Jun Xu, Wenhui Yu, Lantao Hu, Peng Jiang, Han Li

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Neural Retrievers are Biased Towards LLM-Generated Content.

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

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Bias and Unfairness in Information Retrieval Systems: New Challenges in the LLM Era.

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

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Modeling User Attention in Music Recommendation.

Sunhao Dai, Ninglu Shao, Jieming Zhu, Xiao Zhang, Zhenhua Dong, Jun Xu, Quanyu Dai, Ji-Rong Wen

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

SAQRec: Aligning Recommender Systems to User Satisfaction via Questionnaire Feedback.

Kepu Zhang, Teng Shi, Sunhao Dai, Xiao Zhang, Yinfeng Li, Jing Lu, Xiaoxue Zang, Yang Song, Jun Xu

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

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

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 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

Proceedings of the Findings of the Association for Computational Linguistics, 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

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