Jiachen Zhu

According to our database, Jiachen Zhu authored at least 12 papers between 2022 and 2025.

Collaborative distances:

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

2025

A Survey of LLM-based Deep Search Agents: Paradigm, Optimization, Evaluation, and Challenges.

Yunjia Xi, Jianghao Lin, Yongzhao Xiao, Zheli Zhou, Rong Shan, Te Gao, Jiachen Zhu, Weiwen Liu, Yong Yu, Weinan Zhang

CoRR, August, 2025

CoLD: Counterfactually-Guided Length Debiasing for Process Reward Models.

Congmin Zheng, Jiachen Zhu, Jianghao Lin, Xinyi Dai, Yong Yu, Weinan Zhang, Mengyue Yang

CoRR, July, 2025

Evolutionary Perspectives on the Evaluation of LLM-Based AI Agents: A Comprehensive Survey.

Jiachen Zhu, Menghui Zhu, Renting Rui, Rong Shan, Congmin Zheng, Bo Chen, Yunjia Xi, Jianghao Lin, Weiwen Liu, Ruiming Tang, Yong Yu, Weinan Zhang

CoRR, June, 2025

Superplatforms Have to Attack AI Agents.

Jianghao Lin, Jiachen Zhu, Zheli Zhou, Yunjia Xi, Weiwen Liu, Yong Yu, Weinan Zhang

CoRR, May, 2025

Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation.

Rong Shan, Jiachen Zhu, Jianghao Lin, Chenxu Zhu, Bo Chen, Ruiming Tang, Yong Yu, Weinan Zhang

CoRR, January, 2025

Retrieval-Augmented Process Reward Model for Generalizable Mathematical Reasoning.

Jiachen Zhu, Congmin Zheng, Jianghao Lin, Kounianhua Du, Ying Wen, Yong Yu, Jun Wang, Weinan Zhang

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

2024

OpenR: An Open Source Framework for Advanced Reasoning with Large Language Models.

Jun Wang, Meng Fang, Ziyu Wan, Muning Wen, Jiachen Zhu, Anjie Liu, Ziqin Gong, Yan Song, Lei Chen, Lionel M. Ni, Linyi Yang, Ying Wen, Weinan Zhang

CoRR, 2024

A Survey on Diffusion Models for Recommender Systems.

Jianghao Lin, Jiaqi Liu, Jiachen Zhu, Yunjia Xi, Chengkai Liu, Yangtian Zhang, Yong Yu, Weinan Zhang

CoRR, 2024

Lifelong Personalized Low-Rank Adaptation of Large Language Models for Recommendation.

Jiachen Zhu, Jianghao Lin, Xinyi Dai, Bo Chen, Rong Shan, Jieming Zhu, Ruiming Tang, Yong Yu, Weinan Zhang

CoRR, 2024

M-scan: A Multi-Scenario Causal-driven Adaptive Network for Recommendation.

Jiachen Zhu, Yichao Wang, Jianghao Lin, Jiarui Qin, Ruiming Tang, Weinan Zhang, Yong Yu

Proceedings of the ACM on Web Conference 2024, 2024

2023

Learning to Distinguish Multi-User Coupling Behaviors for TV Recommendation.

Jiarui Qin, Jiachen Zhu, Yankai Liu, Junchao Gao, Jianjie Ying, Chaoxiong Liu, Ding Wang, Junlan Feng, Chao Deng, Xiaozheng Wang, Jian Jiang, Cong Liu, Yong Yu, Haitao Zeng, Weinan Zhang

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

2022

RankFlow: Joint Optimization of Multi-Stage Cascade Ranking Systems as Flows.

Jiarui Qin, Jiachen Zhu, Bo Chen, Zhirong Liu, Weiwen Liu, Ruiming Tang, Rui Zhang, Yong Yu, Weinan Zhang

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022