Xiangyang Li

According to our database, Xiangyang Li authored at least 34 papers between 2021 and 2025.

Collaborative distances:

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

2025

ATGen: Adversarial Reinforcement Learning for Test Case Generation.

Qingyao Li, Xinyi Dai, Weiwen Liu, Xiangyang Li, Yasheng Wang, Ruiming Tang, Yong Yu, Weinan Zhang

CoRR, October, 2025

A Unified Framework for Multi-Domain CTR Prediction via Large Language Models.

Zichuan Fu, Xiangyang Li, Chuhan Wu, Yichao Wang, Kuicai Dong, Xiangyu Zhao, Mengchen Zhao, Huifeng Guo, Ruiming Tang

ACM Trans. Inf. Syst., September, 2025

MTRec: Learning to Align with User Preferences via Mental Reward Models.

Mengchen Zhao, Yifan Gao, Yaqing Hou, Xiangyang Li, Pengjie Gu, Zhenhua Dong, Ruiming Tang, Yi Cai

CoRR, September, 2025

Humanity's Last Code Exam: Can Advanced LLMs Conquer Human's Hardest Code Competition?

Xiangyang Li, Xiaopeng Li, Kuicai Dong, Quanhu Zhang, Rongju Ruan, Xinyi Dai, Xiaoshuang Liu, Shengchun Xu, Yasheng Wang, Ruiming Tang

CoRR, June, 2025

Process vs. Outcome Reward: Which is Better for Agentic RAG Reinforcement Learning.

Wenlin Zhang, Xiangyang Li, Kuicai Dong, Yichao Wang, Pengyue Jia, Xiaopeng Li, Yingyi Zhang, Derong Xu, Zhaocheng Du, Huifeng Guo, Ruiming Tang, Xiangyu Zhao

CoRR, May, 2025

A Survey of Personalization: From RAG to Agent.

Xiaopeng Li, Pengyue Jia, Derong Xu, Yi Wen, Yingyi Zhang, Wenlin Zhang, Wanyu Wang, Yichao Wang, Zhaocheng Du, Xiangyang Li, Yong Liu, Huifeng Guo, Ruiming Tang, Xiangyu Zhao

CoRR, April, 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

SampleLLM: Optimizing Tabular Data Synthesis in Recommendations.

Jingtong Gao, Zhaocheng Du, Xiaopeng Li, Yichao Wang, Xiangyang Li, Huifeng Guo, Ruiming Tang, Xiangyu Zhao

CoRR, January, 2025

SampleLLM: Optimizing Tabular Data Synthesis in Recommendations.

Jingtong Gao, Zhaocheng Du, Xiaopeng Li, Yichao Wang, Xiangyang Li, Huifeng Guo, Ruiming Tang, Xiangyu Zhao

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

LLM4Rerank: LLM-based Auto-Reranking Framework for Recommendations.

Jingtong Gao, Bo Chen, Xiangyu Zhao, Weiwen Liu, Xiangyang Li, Yichao Wang, Wanyu Wang, Huifeng Guo, Ruiming Tang

Proceedings of the ACM on Web Conference 2025, 2025

LLMTreeRec: Unleashing the Power of Large Language Models for Cold-Start Recommendations.

Wenlin Zhang, Chuhan Wu, Xiangyang Li, Yuhao Wang, Kuicai Dong, Yichao Wang, Xinyi Dai, Xiangyu Zhao, Huifeng Guo, Ruiming Tang

Proceedings of the 31st International Conference on Computational Linguistics, 2025

CoIR: A Comprehensive Benchmark for Code Information Retrieval Models.

Xiangyang Li, Kuicai Dong, Yi Quan Lee, Wei Xia, Hao Zhang, Xinyi Dai, Yasheng Wang, Ruiming Tang

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

CodePRM: Execution Feedback-enhanced Process Reward Model for Code Generation.

Qingyao Li, Xinyi Dai, Xiangyang Li, Weinan Zhang, Yasheng Wang, Ruiming Tang, Yong Yu

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

Bridging Relevance and Reasoning: Rationale Distillation in Retrieval-Augmented Generation.

Pengyue Jia, Derong Xu, Xiaopeng Li, Zhaocheng Du, Xiangyang Li, Yichao Wang, Yuhao Wang, Qidong Liu, Maolin Wang, Huifeng Guo, Ruiming Tang, Xiangyu Zhao

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

2024

SyNeg: LLM-Driven Synthetic Hard-Negatives for Dense Retrieval.

Xiaopeng Li, Xiangyang Li, Hao Zhang, Zhaocheng Du, Pengyue Jia, Yichao Wang, Xiangyu Zhao, Huifeng Guo, Ruiming Tang

CoRR, 2024

Bridging Relevance and Reasoning: Rationale Distillation in Retrieval-Augmented Generation.

Pengyue Jia, Derong Xu, Xiaopeng Li, Zhaocheng Du, Xiangyang Li, Xiangyu Zhao, Yichao Wang, Yuhao Wang, Huifeng Guo, Ruiming Tang

CoRR, 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

Prompt Tuning as User Inherent Profile Inference Machine.

Yusheng Lu, Zhaocheng Du, Xiangyang Li, Xiangyu Zhao, Weiwen Liu, Yichao Wang, Huifeng Guo, Ruiming Tang, Zhenhua Dong, Yongrui Duan

CoRR, 2024

CoIR: A Comprehensive Benchmark for Code Information Retrieval Models.

Xiangyang Li, Kuicai Dong, Yi Quan Lee, Wei Xia, Yichun Yin, Hao Zhang, Yong Liu, Yasheng Wang, Ruiming Tang

CoRR, 2024

LLM4MSR: An LLM-Enhanced Paradigm for Multi-Scenario Recommendation.

Yuhao Wang, Yichao Wang, Zichuan Fu, Xiangyang Li, Xiangyu Zhao, Huifeng Guo, Ruiming Tang

CoRR, 2024

LLM-enhanced Reranking in Recommender Systems.

Jingtong Gao, Bo Chen, Xiangyu Zhao, Weiwen Liu, Xiangyang Li, Yichao Wang, Zijian Zhang, Wanyu Wang, Yuyang Ye, Shanru Lin, Huifeng Guo, Ruiming Tang

CoRR, 2024

CtrlA: Adaptive Retrieval-Augmented Generation via Probe-Guided Control.

Huanshuo Liu, Hao Zhang, Zhijiang Guo, Kuicai Dong, Xiangyang Li, Yi Quan Lee, Cong Zhang, Yong Liu

CoRR, 2024

CELA: Cost-Efficient Language Model Alignment for CTR Prediction.

Xingmei Wang, Weiwen Liu, Xiaolong Chen, Qi Liu, Xu Huang, Defu Lian, Xiangyang Li, Yasheng Wang, Zhenhua Dong, Ruiming Tang

CoRR, 2024

Multi-view Content-aware Indexing for Long Document Retrieval.

Kuicai Dong, Derrick-Goh-Xin Deik, Yi Quan Lee, Hao Zhang, Xiangyang Li, Cong Zhang, Yong Liu

CoRR, 2024

Tired of Plugins? Large Language Models Can Be End-To-End Recommenders.

Wenlin Zhang, Chuhan Wu, Xiangyang Li, Yuhao Wang, Kuicai Dong, Yichao Wang, Xinyi Dai, Xiangyu Zhao, Huifeng Guo, Ruiming Tang

CoRR, 2024

FLIP: Fine-grained Alignment between ID-based Models and Pretrained Language Models for CTR Prediction.

Hangyu Wang, Jianghao Lin, Xiangyang Li, Bo Chen, Chenxu Zhu, Ruiming Tang, Weinan Zhang, Yong Yu

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

LLM4MSR: An LLM-Enhanced Paradigm for Multi-Scenario Recommendation.

Yuhao Wang, Yichao Wang, Zichuan Fu, Xiangyang Li, Wanyu Wang, Yuyang Ye, Xiangyu Zhao, Huifeng Guo, Ruiming Tang

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

2023

ALT: Towards Fine-grained Alignment between Language and CTR Models for Click-Through Rate Prediction.

Hangyu Wang, Jianghao Lin, Xiangyang Li, Bo Chen, Chenxu Zhu, Ruiming Tang, Weinan 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

CTRL: Connect Tabular and Language Model for CTR Prediction.

Xiangyang Li, Bo Chen, Lu Hou, Ruiming Tang

CoRR, 2023

AutoGen: An Automated Dynamic Model Generation Framework for Recommender System.

Chenxu Zhu, Bo Chen, Huifeng Guo, Hang Xu, Xiangyang Li, Xiangyu Zhao, Weinan Zhang, Yong Yu, Ruiming Tang

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

2022

IntTower: The Next Generation of Two-Tower Model for Pre-Ranking System.

Xiangyang Li, Bo Chen, Huifeng Guo, Jingjie Li, Chenxu Zhu, Xiang Long, Sujian Li, Yichao Wang, Wei Guo, Longxia Mao, Jinxing Liu, Zhenhua Dong, Ruiming Tang

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Knowledge Enhanced Transformers System for Claim Stance Classification.

Xiangyang Li, Zheng Li, Sujian Li, Zhimin Li, Shimin Yang

Proceedings of the Natural Language Processing and Chinese Computing, 2021

Exploring Text-Transformers in AAAI 2021 Shared Task: COVID-19 Fake News Detection in English.

Xiangyang Li, Yu Xia, Xiang Long, Zheng Li, Sujian Li

Proceedings of the Combating Online Hostile Posts in Regional Languages during Emergency Situation, 2021