Exploring Text-Transformers in AAAI 2021 Shared Task: COVID-19 Fake News Detection in English. - Xiangyang Li 004; Yu Xia 024; Xiang Long; Zheng Li; Sujian Li (CONSTRAINT@AAAI, 2021)

Knowledge Enhanced Transformers System for Claim Stance Classification. - Xiangyang Li 004; Zheng Li; Sujian Li; Zhimin Li; Shimin Yang (NLPCC (2), 2021)

IntTower: The Next Generation of Two-Tower Model for Pre-Ranking System. - Xiangyang Li 004; Bo Chen 023; Huifeng Guo; Jingjie Li; Chenxu Zhu; Xiang Long; Sujian Li; Yichao Wang 002; Wei Guo 006; Longxia Mao; Jinxing Liu; Zhenhua Dong; et al. (CIKM, 2022)

AutoGen: An Automated Dynamic Model Generation Framework for Recommender System. - Chenxu Zhu; Bo Chen 023; Huifeng Guo; Hang Xu 004; Xiangyang Li 004; Xiangyu Zhao 001; Weinan Zhang 001; Yong Yu 001; Ruiming Tang (WSDM, 2023)

CTRL: Connect Tabular and Language Model for CTR Prediction. - Xiangyang Li 004; Bo Chen 023; Lu Hou 002; Ruiming Tang (CoRR, 2023)

How Can Recommender Systems Benefit from Large Language Models: A Survey. - Jianghao Lin; Xinyi Dai; Yunjia Xi; Weiwen Liu; Bo Chen 023; Xiangyang Li 004; Chenxu Zhu; Huifeng Guo; Yong Yu 001; Ruiming Tang; Weinan Zhang 001 (CoRR, 2023)

ALT: Towards Fine-grained Alignment between Language and CTR Models for Click-Through Rate Prediction. - Hangyu Wang; Jianghao Lin; Xiangyang Li 004; Bo Chen 023; Chenxu Zhu; Ruiming Tang; Weinan Zhang 001; Yong Yu 001 (CoRR, 2023)

LLM4MSR: An LLM-Enhanced Paradigm for Multi-Scenario Recommendation. - Yuhao Wang 006; Yichao Wang 002; Zichuan Fu; Xiangyang Li 004; Wanyu Wang; Yuyang Ye 002; Xiangyu Zhao 001; Huifeng Guo; Ruiming Tang (CIKM, 2024)

FLIP: Fine-grained Alignment between ID-based Models and Pretrained Language Models for CTR Prediction. - Hangyu Wang; Jianghao Lin; Xiangyang Li 004; Bo Chen 023; Chenxu Zhu; Ruiming Tang; Weinan Zhang 001; Yong Yu 001 (RecSys, 2024)

Tired of Plugins? Large Language Models Can Be End-To-End Recommenders. - Wenlin Zhang; Chuhan Wu; Xiangyang Li 004; Yuhao Wang 006; Kuicai Dong; Yichao Wang 002; Xinyi Dai; Xiangyu Zhao 001; Huifeng Guo; Ruiming Tang (CoRR, 2024)

Multi-view Content-aware Indexing for Long Document Retrieval. - Kuicai Dong; Derrick-Goh-Xin Deik; Yi Quan Lee; Hao Zhang 048; Xiangyang Li 004; Cong Zhang; Yong Liu 020 (CoRR, 2024)

CELA: Cost-Efficient Language Model Alignment for CTR Prediction. - Xingmei Wang 001; Weiwen Liu; Xiaolong Chen; Qi Liu 003; Xu Huang 008; Defu Lian; Xiangyang Li 004; Yasheng Wang; Zhenhua Dong; Ruiming Tang (CoRR, 2024)

CtrlA: Adaptive Retrieval-Augmented Generation via Probe-Guided Control. - Huanshuo Liu; Hao Zhang 048; Zhijiang Guo; Kuicai Dong; Xiangyang Li 004; Yi Quan Lee; Cong Zhang; Yong Liu 020 (CoRR, 2024)

LLM-enhanced Reranking in Recommender Systems. - Jingtong Gao; Bo Chen 023; Xiangyu Zhao 001; Weiwen Liu; Xiangyang Li 004; Yichao Wang 002; Zijian Zhang 009; Wanyu Wang; Yuyang Ye 002; Shanru Lin; Huifeng Guo; Ruiming Tang (CoRR, 2024)

LLM4MSR: An LLM-Enhanced Paradigm for Multi-Scenario Recommendation. - Yuhao Wang 006; Yichao Wang 002; Zichuan Fu; Xiangyang Li 004; Xiangyu Zhao 001; Huifeng Guo; Ruiming Tang (CoRR, 2024)

CoIR: A Comprehensive Benchmark for Code Information Retrieval Models. - Xiangyang Li 004; Kuicai Dong; Yi Quan Lee; Wei Xia 001; Yichun Yin; Hao Zhang 048; Yong Liu 020; Yasheng Wang; Ruiming Tang (CoRR, 2024)

Prompt Tuning as User Inherent Profile Inference Machine. - Yusheng Lu; Zhaocheng Du; Xiangyang Li 004; Xiangyu Zhao 001; Weiwen Liu; Yichao Wang 002; Huifeng Guo; Ruiming Tang; Zhenhua Dong; Yongrui Duan (CoRR, 2024)

LIBER: Lifelong User Behavior Modeling Based on Large Language Models. - Chenxu Zhu; Shigang Quan; Bo Chen 023; Jianghao Lin; Xiaoling Cai; Hong Zhu 003; Xiangyang Li 004; Yunjia Xi; Weinan Zhang 001; Ruiming Tang (CoRR, 2024)

Bridging Relevance and Reasoning: Rationale Distillation in Retrieval-Augmented Generation. - Pengyue Jia; Derong Xu; Xiaopeng Li 014; Zhaocheng Du; Xiangyang Li 004; Xiangyu Zhao 001; Yichao Wang 002; Yuhao Wang 006; Huifeng Guo; Ruiming Tang (CoRR, 2024)

SyNeg: LLM-Driven Synthetic Hard-Negatives for Dense Retrieval. - Xiaopeng Li 014; Xiangyang Li 004; Hao Zhang 048; Zhaocheng Du; Pengyue Jia; Yichao Wang 001; Xiangyu Zhao 001; Huifeng Guo; Ruiming Tang (CoRR, 2024)

Bridging Relevance and Reasoning: Rationale Distillation in Retrieval-Augmented Generation. - Pengyue Jia; Derong Xu; Xiaopeng Li 014; Zhaocheng Du; Xiangyang Li 004; Yichao Wang 001; Yuhao Wang 006; Qidong Liu 002; Maolin Wang 001; Huifeng Guo; Ruiming Tang; Xiangyu Zhao 001 (ACL (Findings), 2025)

CodePRM: Execution Feedback-enhanced Process Reward Model for Code Generation. - Qingyao Li; Xinyi Dai; Xiangyang Li 004; Weinan Zhang 001; Yasheng Wang; Ruiming Tang; Yong Yu 001 (ACL (Findings), 2025)

CoIR: A Comprehensive Benchmark for Code Information Retrieval Models. - Xiangyang Li 004; Kuicai Dong; Yi Quan Lee; Wei Xia 001; Hao Zhang 048; Xinyi Dai; Yasheng Wang; Ruiming Tang (ACL (1), 2025)

LLMTreeRec: Unleashing the Power of Large Language Models for Cold-Start Recommendations. - Wenlin Zhang; Chuhan Wu; Xiangyang Li 004; Yuhao Wang 006; Kuicai Dong; Yichao Wang 002; Xinyi Dai; Xiangyu Zhao 001; Huifeng Guo; Ruiming Tang (COLING, 2025)

LLM4Rerank: LLM-based Auto-Reranking Framework for Recommendations. - Jingtong Gao; Bo Chen 023; Xiangyu Zhao 001; Weiwen Liu; Xiangyang Li 004; Yichao Wang 002; Wanyu Wang; Huifeng Guo; Ruiming Tang (WWW, 2025)

SampleLLM: Optimizing Tabular Data Synthesis in Recommendations. - Jingtong Gao; Zhaocheng Du; Xiaopeng Li 014; Yichao Wang 002; Xiangyang Li 004; Huifeng Guo; Ruiming Tang; Xiangyu Zhao 001 (WWW (Companion Volume), 2025)

SampleLLM: Optimizing Tabular Data Synthesis in Recommendations. - Jingtong Gao; Zhaocheng Du; Xiaopeng Li 014; Yichao Wang 001; Xiangyang Li 004; Huifeng Guo; Ruiming Tang; Xiangyu Zhao 001 (CoRR, 2025)

How Can Recommender Systems Benefit from Large Language Models: A Survey. - Jianghao Lin; Xinyi Dai; Yunjia Xi; Weiwen Liu; Bo Chen 023; Hao Zhang 048; Yong Liu 020; Chuhan Wu; Xiangyang Li 004; Chenxu Zhu; Huifeng Guo; Yong Yu 001; et al. (ACM Trans. Inf. Syst., 2025)

A Survey of Personalization: From RAG to Agent. - Xiaopeng Li 014; Pengyue Jia; Derong Xu; Yi Wen 001; Yingyi Zhang; Wenlin Zhang; Wanyu Wang; Yichao Wang 002; Zhaocheng Du; Xiangyang Li 004; Yong Liu 020; Huifeng Guo; et al. (CoRR, 2025)

Process vs. Outcome Reward: Which is Better for Agentic RAG Reinforcement Learning. - Wenlin Zhang; Xiangyang Li 004; Kuicai Dong; Yichao Wang 002; Pengyue Jia; Xiaopeng Li 014; Yingyi Zhang; Derong Xu; Zhaocheng Du; Huifeng Guo; Ruiming Tang; Xiangyu Zhao 001 (CoRR, 2025)

Humanity's Last Code Exam: Can Advanced LLMs Conquer Human's Hardest Code Competition? - Xiangyang Li 004; Xiaopeng Li 014; Kuicai Dong; Quanhu Zhang; Rongju Ruan; Xinyi Dai; Xiaoshuang Liu; Shengchun Xu; Yasheng Wang; Ruiming Tang (CoRR, 2025)

MTRec: Learning to Align with User Preferences via Mental Reward Models. - Mengchen Zhao; Yifan Gao; Yaqing Hou; Xiangyang Li 004; Pengjie Gu; Zhenhua Dong; Ruiming Tang; Yi Cai (CoRR, 2025)

A Unified Framework for Multi-Domain CTR Prediction via Large Language Models. - Zichuan Fu; Xiangyang Li 004; Chuhan Wu; Yichao Wang 002; Kuicai Dong; Xiangyu Zhao 001; Mengchen Zhao; Huifeng Guo; Ruiming Tang (ACM Trans. Inf. Syst., 2025)

ATGen: Adversarial Reinforcement Learning for Test Case Generation. - Qingyao Li; Xinyi Dai; Weiwen Liu; Xiangyang Li 004; Yasheng Wang; Ruiming Tang; Yong Yu 001; Weinan Zhang 001 (CoRR, 2025)