Yunjia Xi

According to our database, Yunjia Xi authored at least 30 papers between 2020 and 2025.

Collaborative distances:

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

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

The Real Barrier to LLM Agent Usability is Agentic ROI.

Weiwen Liu, Jiarui Qin, Xu Huang, Xingshan Zeng, Yunjia Xi, Jianghao Lin, Chuhan Wu, Yasheng Wang, Lifeng Shang, Ruiming Tang, Defu Lian, Yong Yu, Weinan Zhang

CoRR, May, 2025

InfoDeepSeek: Benchmarking Agentic Information Seeking for Retrieval-Augmented Generation.

Yunjia Xi, Jianghao Lin, Menghui Zhu, Yongzhao Xiao, Zhuoying Ou, Jiaqi Liu, Tong Wan, Bo Chen, Weiwen Liu, Yasheng Wang, Ruiming Tang, Weinan Zhang, Yong Yu

CoRR, May, 2025

How Can Recommender Systems Benefit from Large Language Models: A Survey.

Jianghao Lin, Xinyi Dai, Yunjia Xi, Weiwen Liu, Bo Chen, Hao Zhang, Yong Liu, Chuhan Wu, Xiangyang Li, Chenxu Zhu, Huifeng Guo, Yong Yu, Ruiming Tang, Weinan Zhang

ACM Trans. Inf. Syst., March, 2025

Bursting Filter Bubble: Enhancing Serendipity Recommendations with Aligned Large Language Models.

Yunjia Xi, Muyan Weng, Wen Chen, Chao Yi, Dian Chen, Gaoyang Guo, Mao Zhang, Jian Wu, Yuning Jiang, Qingwen Liu, Yong Yu, Weinan Zhang

CoRR, February, 2025

Efficiency Unleashed: Inference Acceleration for LLM-based Recommender Systems with Speculative Decoding.

Yunjia Xi, Hangyu Wang, Bo Chen, Jianghao Lin, Menghui Zhu, Weiwen Liu, Ruiming Tang, Zhewei Wei, Weinan Zhang, Yong Yu

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

Action First: Leveraging Preference-Aware Actions for More Effective Decision-Making in Interactive Recommender Systems.

Renting Rui, Yunjia Xi, Weiwen Liu, Jianghao Lin, Bo Chen, Ruiming Tang, Weinan Zhang, Yong Yu

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

An Efficient Approximation Framework for LLM-Enhanced Recommendation.

Huacan Chai, Menghui Zhu, Jianghao Lin, Yunjia Xi, Weinan Zhang, Yong Yu

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

2024

Utility-Oriented Reranking with Counterfactual Context.

Yunjia Xi, Weiwen Liu, Xinyi Dai, Ruiming Tang, Qing Liu, Weinan Zhang, Yong Yu

ACM Trans. Knowl. Discov. Data, September, 2024

LIBER: Lifelong User Behavior Modeling Based on Large Language Models.

Chenxu Zhu, Shigang Quan, Bo Chen, Jianghao Lin, Xiaoling Cai, Hong Zhu, Xiangyang Li, Yunjia Xi, Weinan Zhang, Ruiming Tang

CoRR, 2024

Beyond Positive History: Re-ranking with List-level Hybrid Feedback.

Muyan Weng, Yunjia Xi, Weiwen Liu, Bo Chen, Jianghao Lin, Ruiming Tang, Weinan Zhang, Yong Yu

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

Efficient and Deployable Knowledge Infusion for Open-World Recommendations via Large Language Models.

Yunjia Xi, Weiwen Liu, Jianghao Lin, Muyan Weng, Xiaoling Cai, Hong Zhu, Jieming Zhu, Bo Chen, Ruiming Tang, Yong Yu, Weinan Zhang

CoRR, 2024

A Decoding Acceleration Framework for Industrial Deployable LLM-based Recommender Systems.

Yunjia Xi, Hangyu Wang, Bo Chen, Jianghao Lin, Menghui Zhu, Weiwen Liu, Ruiming Tang, Weinan Zhang, Yong Yu

CoRR, 2024

ClickPrompt: CTR Models are Strong Prompt Generators for Adapting Language Models to CTR Prediction.

Jianghao Lin, Bo Chen, Hangyu Wang, Yunjia Xi, Yanru Qu, Xinyi Dai, Kangning Zhang, Ruiming Tang, Yong Yu, Weinan Zhang

Proceedings of the ACM on Web Conference 2024, 2024

Towards Open-World Recommendation with Knowledge Augmentation from Large Language Models.

Yunjia Xi, Weiwen Liu, Jianghao Lin, Xiaoling Cai, Hong Zhu, Jieming Zhu, Bo Chen, Ruiming Tang, Weinan Zhang, Yong Yu

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

DisCo: Towards Harmonious Disentanglement and Collaboration between Tabular and Semantic Space for Recommendation.

Kounianhua Du, Jizheng Chen, Jianghao Lin, Yunjia Xi, Hangyu Wang, Xinyi Dai, Bo Chen, Ruiming Tang, Weinan Zhang

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

MemoCRS: Memory-enhanced Sequential Conversational Recommender Systems with Large Language Models.

Yunjia Xi, Weiwen Liu, Jianghao Lin, Bo Chen, Ruiming Tang, Weinan Zhang, Yong Yu

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

Play to Your Strengths: Collaborative Intelligence of Conventional Recommender Models and Large Language Models.

Yunjia Xi, Weiwen Liu, Jianghao Lin, Chuhan Wu, Bo Chen, Ruiming Tang, Weinan Zhang, Yong Yu

Proceedings of the Information Retrieval - 30th China Conference, 2024

2023

Towards Open-World Recommendation with Knowledge Augmentation from Large Language Models.

Yunjia Xi, Weiwen Liu, Jianghao Lin, Jieming Zhu, Bo Chen, Ruiming Tang, Weinan Zhang, Rui Zhang, Yong Yu

CoRR, 2023

How Can Recommender Systems Benefit from Large Language Models: A Survey.

Jianghao Lin, Xinyi Dai, Yunjia Xi, Weiwen Liu, Bo Chen, Xiangyang Li, Chenxu Zhu, Huifeng Guo, Yong Yu, Ruiming Tang, Weinan Zhang

CoRR, 2023

A Bird's-eye View of Reranking: From List Level to Page Level.

Yunjia Xi, Jianghao Lin, Weiwen Liu, Xinyi Dai, Weinan Zhang, Rui Zhang, Ruiming Tang, Yong Yu

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

On-device Integrated Re-ranking with Heterogeneous Behavior Modeling.

Yunjia Xi, Weiwen Liu, Yang Wang, Ruiming Tang, Weinan Zhang, Yue Zhu, Rui Zhang, Yong Yu

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Personalized Diversification for Neural Re-ranking in Recommendation.

Weiwen Liu, Yunjia Xi, Jiarui Qin, Xinyi Dai, Ruiming Tang, Shuai Li, Weinan Zhang, Rui Zhang

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022

Beyond Relevance Ranking: A General Graph Matching Framework for Utility-Oriented Learning to Rank.

Xinyi Dai, Yunjia Xi, Weinan Zhang, Qing Liu, Ruiming Tang, Xiuqiang He, Jiawei Hou, Jun Wang, Yong Yu

ACM Trans. Inf. Syst., 2022

Multi-Level Interaction Reranking with User Behavior History.

Yunjia Xi, Weiwen Liu, Jieming Zhu, Xilong Zhao, Xinyi Dai, Ruiming Tang, Weinan Zhang, Rui Zhang, Yong Yu

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

Neural Re-ranking in Multi-stage Recommender Systems: A Review.

Weiwen Liu, Yunjia Xi, Jiarui Qin, Fei Sun, Bo Chen, Weinan Zhang, Rui Zhang, Ruiming Tang

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021

Context-aware Reranking with Utility Maximization for Recommendation.

Yunjia Xi, Weiwen Liu, Xinyi Dai, Ruiming Tang, Weinan Zhang, Qing Liu, Xiuqiang He, Yong Yu

CoRR, 2021

2020

U-rank: Utility-oriented Learning to Rank with Implicit Feedback.

Xinyi Dai, Jiawei Hou, Qing Liu, Yunjia Xi, Ruiming Tang, Weinan Zhang, Xiuqiang He, Jun Wang, Yong Yu

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020