Yuqi Zhou

According to our database, Yuqi Zhou authored at least 15 papers between 2023 and 2026.

Collaborative distances:

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

2026

DR-Venus: Towards Frontier Edge-Scale Deep Research Agents with Only 10K Open Data.

Venus Team, Sunhao Dai, Yong Deng, Jinzhen Lin, Yusheng Song, Guoqing Wang, Xiaofeng Wu, Yuqi Zhou, Shuo Yang, Zhenzhe Ying, Zhanwei Zhang, Changhua Meng, Weiqiang Wang

CoRR, April, 2026

VenusBench-Mobile: A Challenging and User-Centric Benchmark for Mobile GUI Agents with Capability Diagnostics.

Yichen Gong, Zhuohan Cai, Sunhao Dai, Yuqi Zhou, Zhangxuan Gu, Changhua Meng, Shuheng Shen

CoRR, April, 2026

Learning to Retrieve from Agent Trajectories.

Yuqi Zhou, Sunhao Dai, Changle Qu, Liang Pang, Jun Xu, Ji-Rong Wen

CoRR, April, 2026

UI-Venus-1.5 Technical Report.

Venus Team, Changlong Gao, Zhangxuan Gu, Yulin Liu, Xinyu Qiu, Shuheng Shen, Yue Wen, Tianyu Xia, Zhenyu Xu, Zhengwen Zeng, Beitong Zhou, Xingran Zhou, Weizhi Chen, Sunhao Dai, Jingya Dou, Yichen Gong, Yuan Guo, Zhenlin Guo, Feng Li, Qian Li, Jinzhen Lin, Yuqi Zhou, Linchao Zhu, Liang Chen, Zhenyu Guo, Changhua Meng, Weiqiang Wang

CoRR, February, 2026

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

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

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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 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

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

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

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

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