Sunhao Dai

According to our database, Sunhao Dai authored at least 36 papers between 2022 and 2025.

Collaborative distances:

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

2025

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

Frontiers Comput. Sci., August, 2025

RecGPT Technical Report.

Chao Yi, Dian Chen, Gaoyang Guo, Jiakai Tang, Jian Wu, Jing Yu, Mao Zhang, Sunhao Dai, Wen Chen, Wenjun Yang, Yuning Jiang, Zhujin Gao, Bo Zheng, Chi Li, Dimin Wang, Dixuan Wang, Fan Li, Fan Zhang, Haibin Chen, Haozhuang Liu, Jialin Zhu, Jiamang Wang, Jiawei Wu, Jin Cui, Ju Huang, Kai Zhang, Kan Liu, Lang Tian, Liang Rao, Longbin Li, Lulu Zhao, Na He, Peiyang Wang, Qiqi Huang, Tao Luo, Wenbo Su, Xiaoxiao He, Xin Tong, Xu Chen, Xunke Xi, Yang Li, Yaxuan Wu, Yeqiu Yang, Yi Hu, Yinnan Song, Yuchen Li, Yujie Luo, Yujin Yuan, Yuliang Yan, Zhengyang Wang, Zhibo Xiao, Zhixin Ma, Zile Zhou, Ziqi Zhang

CoRR, July, 2025

Revisiting Clustering of Neural Bandits: Selective Reinitialization for Mitigating Loss of Plasticity.

Zhiyuan Su, Sunhao Dai, Xiao Zhang

CoRR, June, 2025

GUI-G1: Understanding R1-Zero-Like Training for Visual Grounding in GUI Agents.

Yuqi Zhou, Sunhao Dai, Shuai Wang, Kaiwen Zhou, Qinglin Jia, Jun Xu

CoRR, May, 2025

Think Before Recommend: Unleashing the Latent Reasoning Power for Sequential Recommendation.

Jiakai Tang, Sunhao Dai, Teng Shi, Jun Xu, Xu Chen, Wen Chen, Wu Jian, Yuning Jiang

CoRR, March, 2025

CHOP: Mobile Operating Assistant with Constrained High-frequency Optimized Subtask Planning.

Yuqi Zhou, Shuai Wang, Sunhao Dai, Qinglin Jia, Zhaocheng Du, Zhenhua Dong, Jun Xu

CoRR, March, 2025

Few-shot LLM Synthetic Data with Distribution Matching.

Jiyuan Ren, Zhaocheng Du, Zhihao Wen, Qinglin Jia, Sunhao Dai, Chuhan Wu, Zhenhua Dong

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

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

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

Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, 2025

NExT-Search: Rebuilding User Feedback Ecosystem for Generative AI Search.

Sunhao Dai, Wenjie Wang, Liang Pang, Jun Xu, See-Kiong Ng, Ji-Rong Wen, Tat-Seng Chua

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

Mitigating Source Bias with LLM Alignment.

Sunhao Dai, Yuqi Zhou, Liang Pang, Zhuoyang Li, Zhaocheng Du, Gang Wang, Jun Xu

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

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

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

Perplexity Trap: PLM-Based Retrievers Overrate Low Perplexity Documents.

Haoyu Wang, Sunhao Dai, Haiyuan Zhao, Liang Pang, Xiao Zhang, Gang Wang, Zhenhua Dong, Jun Xu, Ji-Rong Wen

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Length-Induced Embedding Collapse in PLM-based Models.

Yuqi Zhou, Sunhao Dai, Zhanshuo Cao, Xiao Zhang, Jun Xu

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

CitaLaw: Enhancing LLM with Citations in Legal Domain.

Kepu Zhang, Weijie Yu, Sunhao Dai, Jun Xu

Proceedings of the Findings of the Association for Computational Linguistics, 2025

AdaO2B: Adaptive Online to Batch Conversion for Out-of-Distribution Generalization.

Xiao Zhang, Sunhao Dai, Jun Xu, Yong Liu, Zhenhua Dong

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Length-Induced Embedding Collapse in Transformer-based Models.

Yuqi Zhou, Sunhao Dai, Zhanshuo Cao, Xiao Zhang, Jun Xu

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

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