冯福利｜中国科学技术大学｜学者主页

2026

AlpsBench: An LLM Personalization Benchmark for Real-Dialogue Memorization and Preference Alignment

Jianfei Xiao, Xiang Yu, Chengbing Wang, Wuqiang Zheng, Xinyu Lin, Kaining Liu, Hongxun Ding, Yang Zhang, Wenjie Wang, Fuli Feng, Xiangnan He

International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)

DOI

2026

Filtering LLM-Synthesized Data for Cold-Start Recommendation: A Progressive Influence Function Approach

Tianhao Shi, Yang Zhang, Xiaoxue Zang, Chenyi Lei, Han Li, Yang Song, Fuli Feng

ACM Transactions on Information Systems

DOI

2026

Reason4Rec: Deliberative User Preference Alignment of Large Language Models for Recommendation

Y D Fang, W Y Wang, Yang Zhang, Fengbin Zhu, Qifan Wang, Fuli Feng, X He

IEEE Transactions on Knowledge and Data Engineering

DOI

2026

Negative Sampling in Recommendation: A Survey and Future Directions

Haokai Ma, Ruobing Xie, Lei Meng, Fuli Feng, Xiaoyu Du, Xingwu Sun, Zhanhui Kang, Xiangxu Meng

ACM Transactions on Information Systems

DOI

2026

RECAP: Feedback-Driven Streaming Semantic User Profiles for Short-Video Recommendation

Ziyi Zhao, X J Zhou, Xiao Lv, Yangyang Li, ChuBO He, Zhao Liu, Jiayao Shen, Yuqi Liu, He Li, Chengyi Zhang, Jian Liang, Ming Li, Chongming Gao, Fuli Feng, Ruiming Tang, Han Li

ACM Conference on Recommender Systems (RecSys)

DOI

2026

SETRec++: Scaling Order-agnostic Identifier for Large Language Model-based Generative Recommendation

Xinyu Lin, Chuanyu Zhang, Yufan Liu, Haihan Shi, Wenjie Wang, Fuli Feng, Qifan Wang, See-Kiong Ng, Tat‐Seng Chua

ACM Transactions on Recommender Systems

DOI

2026

PILA'26: Personal Intelligence in Agentic AI Era

Xiaoyan Zhao, Yang Zhang, Moxin Li, Chongming Gao, Pengyang Shao, Wenjie Wang, Hong Cheng, Fuli Feng, Yongfeng Zhang, Yang Song

ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)

DOI

2026

Intuition-Guided Latent Reasoning for LLM-Based Recommendation

Chang Liu, Yimeng Bai, Xiaoyan Zhao, Yang Zhang, Qifan Wang, Fuli Feng, Wenge Rong

ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)

DOI

2026

Uncertainty-aware Generative Recommendation

Chenxiao Fan, Chongming Gao, Yaxin Gong, Haoyan Liu, Fuli Feng, Xiangnan He

ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)

DOI

2026

Bi-Level Optimization for Generative Recommendation: Bridging Tokenization and Generation

Yimeng Bai, Chang Liu, Yang Zhang, Dingxian Wang, Frank Yang, Andrew Rabinovich, Wenge Rong, Fuli Feng

International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)

DOI

2026

LLM Personalization: Foundations, Breakthroughs, and Frontiers

Xiaoyan Zhao, Xinyu Lin, C.Y. Wang, Zeyu Zhang, Bohao Wang, Yang Zhang, Wenjie Wang, Fuli Feng

International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)

DOI

2026

One Adapts to Any: Meta Reward Modeling for Personalized LLM Alignment

Hongru Cai, Yongqi Li, Tiezheng Yu, Fengbin Zhu, Wenjie Wang, Fuli Feng, Wenjie Li

International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)

DOI

2026

MURE: Hierarchical Multi-Resolution Encoding via Vision-Language Models for Visual Document Retrieval

Fengbin Zhu, Zijing Cai, Yuzhe Wang, Pengyang Shao, Wenjie Wang, Fuli Feng, Richang Hong, Tat‐Seng Chua

International Conference on Multimedia Retrieval

DOI

2026

MGFRec: Towards Reinforced Reasoning Recommendation with Multiple Groundings and Feedback

Shihao Cai, Chongming Gao, Haoyan Liu, Wentao Shi, Jianshan Sun, Ruiming Tang, Fuli Feng

ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)

DOI

2026

KnitLoRA: bridging low-rank adaptation as interwoven layers for deeper semantic reasoning

Hongjie Qiu, Youyou Ning, Jinqiang Li, X.F. Zhu, Yifan Gong, Liqi Yan, Fangli Guan, Jianhui Zhang, Fuli Feng, Z XU, Qifan Wang, Pan Li

Scientific Reports

DOI

2026

Bringing Reasoning to Generative Recommendation Through the Lens of Cascaded Ranking

Xinyu Lin, Pengyuan Liu, Wenjie Wang, Yicheng Hu, Chen Xu, Fuli Feng, Qifan Wang, Tat‐Seng Chua

ACM Web Conference (WWW)

DOI

2026

Don’t Start Over: A Cost-Effective Framework for Migrating Personalized Prompts Between LLMs

Ziyi Zhao, Chongming Gao, Yang Zhang, Haoyan Liu, Weinan Gan, Huifeng Guo, Yong Liu, Fuli Feng

Proceedings of the AAAI Conference on Artificial Intelligence

DOI

2026

Navigating Through Paper Flood: Advancing LLM-Based Paper Evaluation Through Domain-Aware Retrieval and Latent Reasoning

Wuqiang Zheng, Yiyan Xu, Xinyu Lin, Chongming Gao, Wenjie Wang, Fuli Feng

Proceedings of the AAAI Conference on Artificial Intelligence

DOI

2026

PERM: Psychology-grounded Empathetic Reward Modeling for Large Language Models

Chengbing Wang, Wuqiang Zheng, Yang Zhang, Fengbin Zhu, Junyi Cheng, Yi Xie, Wenjie Wang, Fuli Feng

DOI

2026

Controllable LLM Reasoning via Sparse Autoencoder-Based Steering

Yi Fang, Wenjie Wang, Mingfeng Xue, Boyi Deng, Fengli Xu, Dayiheng Liu, Fuli Feng

Annual Meeting of the Association for Computational Linguistics (ACL)

DOI

2026

MMDocBench: Benchmarking Large Vision-Language Models for Fine-Grained Visual Document Understanding and Grounding

Fengbin Zhu, Ziyang Liu, Xiang Yao Ng, Haohui Wu, Wenjie Wang, Fuli Feng, Chao Wang, Huanbo Luan, Tat‐Seng Chua

Lecture notes in computer science

DOI

2026

Efficient Multi-Agent System Training with Data Influence-Oriented Tree Search

Wentao Shi, Zichun Yu, Fuli Feng, Xiangnan He, Chenyan Xiong

Annual Meeting of the Association for Computational Linguistics (ACL)

DOI

2026

MTR-Bench: A Comprehensive Benchmark for Multi-Turn Reasoning Evaluation

Xiaoyuan Li, Keqin Bao, Yubo Ma, Moxin Li, Wenjie Wang, Rui Men, Yichang Zhang, Fuli Feng, Dayiheng Liu

Annual Meeting of the Association for Computational Linguistics (ACL)

DOI

2026

TROJail: Trajectory-Level Optimization for Multi-Turn Large Language Model Jailbreaks with Process Rewards

Xiqiao Xiong, Ouxiang Li, Zhuo Liu, Moxin Li, Wentao Shi, Fengbin Zhu, Qifan Wang, Fuli Feng

Annual Meeting of the Association for Computational Linguistics (ACL)

DOI

2026

ReList: A Multi-objective Reasoning Framework for Diversified Listwise Query Recommendation

Shuxian Bi, Chenxu Wang, Wenjie Wang, Yueqi Mou, Fuli Feng, Tang Biao, Peng Yan

Annual Meeting of the Association for Computational Linguistics (ACL)

DOI

2026

AJ-Bench: Benchmarking Agent-as-a-Judge for Environment-Aware Evaluation

Wentao Shi, Yu Guang Wang, Yuyang Zhao, Yuxin Chen, Fuli Feng, Xueyuan Hao, Xi Su, Qi Gu, Hui Su, Xunliang Cai, Xiangnan He

DOI

2026

A Survey of Generative Recommendation: Toward Next-Generation Recommender Paradigm

Wenjie Wang, Xinyu Lin, Fuli Feng, Xiangnan He, Tat‐Seng Chua

IEEE Transactions on Computational Social Systems

DOI

2025

Batch-Adaptive Doubly Robust Learning for Debiasing Post-Click Conversion Rate Prediction Under Sparse Data

Hang Pan, Chunyuan Zheng, Wenjie Wang, Jingang Jiang, Xueying Li, Haoxuan Li, Fuli Feng

ACM Transactions on Information Systems

DOI

2025

Exact and Efficient Unlearning for Large Language Model-Based Recommendation

Zhiyu Hu, Yang Zhang, Minghao Xiao, Wenjie Wang, Fuli Feng, Xiangnan He

IEEE Transactions on Knowledge and Data Engineering

DOI

2025

Pre-Trained Models for Search and Recommendation: Introduction to the Special Issue—Part 2

Wenjie Wang, Zheng Liu, Fuli Feng, Zhicheng Dou, Qingyao Ai, Grace Hui Yang, Defu Lian, Lu Hou, Aixin Sun, Hamed Zamani, Donald Metzler, Maarten de Rijke

ACM Transactions on Information Systems

DOI

2025

Independent or Social Driven Decision? A Counterfactual Refinement Strategy for Graph-Based Social Recommendation

Dongyang Li, Jianshan Sun, Chongming Gao, Fuli Feng, Kun Yuan

ACM Transactions on Information Systems

DOI

2025

CoLLM: Integrating Collaborative Embeddings Into Large Language Models for Recommendation

Yang Zhang, Fuli Feng, Jizhi Zhang, Keqin Bao, Qifan Wang, Xiangnan He

IEEE Transactions on Knowledge and Data Engineering

DOI

2025

Pre-Trained Models for Search and Recommendation: Introduction to the Special Issue—Part 1

Wenjie Wang, Zheng Liu, Fuli Feng, Zhicheng Dou, Qingyao Ai, Grace Hui Yang, Defu Lian, Lu Hou, Aixin Sun, Hamed Zamani, Donald Metzler, Maarten de Rijke

ACM Transactions on Information Systems

DOI

2025

Incremental Learning for LLM-based Tokenization and Recommendation

H. C. Shi, Xinyu Lin, Wenjie Wang, Wentao Shi, Junwei Pan, Jie Jiang, Fuli Feng

ACM International Conference on Information and Knowledge Management (CIKM)

DOI

2025

An LLM-based Behavior Modeling Framework for Malicious User Detection

Meng Jiang, Wenjie Wang, Chongming Gao, Shaofeng Hu, Kaishen Ou, Hui Lin, Fuli Feng

ACM International Conference on Information and Knowledge Management (CIKM)

DOI

2025

AppAgent-Pro: A Proactive GUI Agent System for Multidomain Information Integration and User Assistance

Yuyang Zhao, Wentao Shi, Fuli Feng, Xiangnan He

ACM International Conference on Information and Knowledge Management (CIKM)

DOI

2025

DRC: Enhancing Personalized Image Generation via Disentangled Representation Composition

Yiyan Xu, Wuqiang Zheng, Wenjie Wang, Fengbin Zhu, Xinting Hu, Yang Zhang, Fuli Feng, Tat‐Seng Chua

ACM International Conference on Multimedia (ACM MM)

DOI

2025

Towards Temporal-Aware Multi-Modal Retrieval Augemented Generation in Finance

Fengbin Zhu, Junfeng Li, Liangming Pan, Wenjie Wang, Fuli Feng, Chao Wang, Huanbo Luan, Tat‐Seng Chua

ACM International Conference on Multimedia (ACM MM)

DOI

2025

Heterogeneous User Modeling for LLM-based Recommendation

Honghui Bao, Wenjie Wang, Xinyu Lin, Fengbin Zhu, Teng Sun, Fuli Feng, Tat‐Seng Chua

DOI

2025

Order-agnostic Identifier for Large Language Model-based Generative Recommendation

Xinyu Lin, H. C. Shi, Wenjie Wang, Fuli Feng, Qifan Wang, See-Kiong Ng, Tat‐Seng Chua

International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)

DOI

2025

Agentic Feedback Loop Modeling Improves Recommendation and User Simulation

Shihao Cai, Jizhi Zhang, Keqin Bao, Chongming Gao, Qifan Wang, Fuli Feng, Xiangnan He

International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)

DOI

2025

Navigating Large Language Models for Recommendation: From Architecture to Learning Paradigms and Deployment

Xinyu Lin, Keqin Bao, Jizhi Zhang, Yang Zhang, Wenjie Wang, Fuli Feng

International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)

DOI

2025

Unconstrained Monotonic Calibration of Predictions in Deep Ranking Systems

Yimeng Bai, Shunyu Zhang, Yang Zhang, Hu Liu, Wentian Bao, Enyun Yu, Fuli Feng, Wenwu Ou

International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)

DOI

2025

FinIR: The 2nd Workshop on Financial Information Retrieval in the Era of Generative AI

Fengbin Zhu, Yunshan Ma, Fuli Feng, Chao Wang, Huanbo Luan, Guangnan Ye, Shuo Zhang, Dhagash B. Mehta, Pingping Chen, Bing Xiang, Tat‐Seng Chua

International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)

DOI

2025

Fair Recommendation with Biased-Limited Sensitive Attribute

Jizhi Zhang, Haoyu Shen, Tianhao Shi, Keqin Bao, Xin Chen, Yang Zhang, Fuli Feng

International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)

DOI

2025

Generative Recommendation: Towards Personalized Multimodal Content Generation

Wenjie Wang, Xinyu Lin, Fuli Feng, Xiangnan He, Tat‐Seng Chua

DOI

2025

The 3rd Workshop on Personal Intelligence with Generative AI

Yang Zhang, Wenjie Wang, Xinyu Lin, Fuli Feng, Hongzhi Yin, Wayne Xin Zhao, Lina Yao, Yang Song, Xiangnan He

DOI

2025

Leveraging LLMs for Influence Path Planning in Proactive Recommendation

Mingze Wang, Shuxian Bi, Wenjie Wang, Chongming Gao, Yangyang Li, Fuli Feng

DOI

2025

Leveraging Memory Retrieval to Enhance LLM-based Generative Recommendation

C.Y. Wang, Yang Zhang, Fengbin Zhu, Jizhi Zhang, Tianhao Shi, Fuli Feng

DOI

2025

Debias Can Be Unreliable: Mitigating Bias in Evaluating Debiasing Recommendation

C.Y. Wang, Wentao Shi, Jizhi Zhang, Wenjie Wang, Hang Pan, Fuli Feng

DOI

2025

Envisioning Recommendations on an LLM-Based Agent Platform

Jizhi Zhang, Keqin Bao, Wenjie Wang, Yang Zhang, Wentao Shi, Wanhong Xu, Fuli Feng, Tat‐Seng Chua

Communications of the ACM

DOI

2025

Personalized Image Generation with Large Multimodal Models

Yiyan Xu, Wenjie Wang, Yang Zhang, Biao Tang, Peng Yan, Fuli Feng, Xiangnan He

DOI

2025

CrAM: Credibility-Aware Attention Modification in LLMs for Combating Misinformation in RAG

Boyi Deng, Wenjie Wang, Fengbin Zhu, Qifan Wang, Fuli Feng

Proceedings of the AAAI Conference on Artificial Intelligence

DOI

2025

Pre-trained Behavioral Model for Malicious User Prediction on Social Platform

Meng Jiang, Wenjie Wang, Shaofeng Hu, Kaishen Ou, Zhenjing Zheng, Fuli Feng

Proceedings of the AAAI Conference on Artificial Intelligence

DOI

2025

Improving Synthetic Image Detection Towards Generalization: An Image Transformation Perspective

Ouxiang Li, Jiayin Cai, Yanbin Hao, X.H. Jiang, Yao Hu, Fuli Feng

ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)

DOI

2025

A Bi-Step Grounding Paradigm for Large Language Models in Recommendation Systems

Keqin Bao, Jizhi Zhang, Wenjie Wang, Yang Zhang, Zhengyi Yang, Yanchen Luo, Chong Chen, Fuli Feng, Qi Chuan Tian

ACM Transactions on Recommender Systems

DOI

2025

Personalized Generation In Large Model Era: A Survey

Yuehang Xu, Jinghao Zhang, Alireza Salemi, Xinting Hu, Wenjie Wang, Fuli Feng, Hamed Zamani, Xiangnan He, Tat‐Seng Chua

Annual Meeting of the Association for Computational Linguistics (ACL)

DOI

2025

Latent Inter-User Difference Modeling for LLM Personalization

Yilun Qiu, Tianhao Shi, Xiaoyan Zhao, Fengbin Zhu, Yang Zhang, Fuli Feng

Conference on Empirical Methods in Natural Language Processing (EMNLP)

DOI

2025

Self-Improvement Towards Pareto Optimality: Mitigating Preference Conflicts in Multi-Objective Alignment

Moxin Li, Yuantao Zhang, Wenjie Wang, Wentao Shi, Zhuo Liu, Fuli Feng, Tat‐Seng Chua

DOI

2025

Measuring What Makes You Unique: Difference-Aware User Modeling for Enhancing LLM Personalization

Yilun Qiu, Xiaoyan Zhao, Yang Zhang, Yimeng Bai, Wenjie Wang, Hong Cheng, Fuli Feng, Tat‐Seng Chua

DOI

2025

Unveiling Language-Specific Features in Large Language Models via Sparse Autoencoders

Boyi Deng, Yu Xuan Wan, Baosong Yang, Yidan Zhang, Fuli Feng

Annual Meeting of the Association for Computational Linguistics (ACL)

DOI

2025

Tunable LLM-based Proactive Recommendation Agent

Mingze Wang, Chongming Gao, Wenjie Wang, Yangyang Li, Fuli Feng

Annual Meeting of the Association for Computational Linguistics (ACL)

DOI

2025

Examining False Positives under Inference Scaling for Mathematical Reasoning

Yu Wang, Nan Yang, Liang Wang, Furu Wei, Fuli Feng

Conference on Empirical Methods in Natural Language Processing (EMNLP)

DOI

2025

K-order Ranking Preference Optimization for Large Language Models

Shihao Cai, Chongming Gao, Yang Zhang, Wentao Shi, Jizhi Zhang, Keqin Bao, Qifan Wang, Fuli Feng

DOI

2025

Proactive Recommendation in Social Networks: Steering user interest with causal inference

Hang Pan, Shuxian Bi, Wenjie Wang, Haoxuan Li, Peng Wu, Fuli Feng

AI Open

DOI

2025

Large Language Models with Multi-faceted Relation Alignment for User Novel Interest Discovery

Shuxian Bi, Wenjie Wang, Moxin Li, Chongming Gao, Fuli Feng

Lecture notes in computer science

DOI

2025

Consistency-Aware Online Multi-Objective Alignment for Related Search Query Generation

Shuxian Bi, Chongming Gao, Wenjie Wang, Yueqi Mou, Chenxu Wang, Tang Biao, Yan Fen Peng, Fuli Feng

Annual Meeting of the Association for Computational Linguistics (ACL)

DOI

2025

Disentangling Reasoning Tokens and Boilerplate Tokens For Language Model Fine-tuning

Zezhen Ye, Zhenru Zhang, Yang Zhang, Jianxin Ma, Junyang Lin, Fuli Feng

DOI

2025

Assistant-Guided Mitigation of Teacher Preference Bias in LLM-as-a-Judge

Zhuo Liu, Moxin Li, Xun Deng, Qifan Wang, Fuli Feng

DOI

2025

Item-Language Model: Improving Large Language Model for Recommendation via Item-Language Representation Learning

Li Yang, Anushya Subbiah, Hardik Patel, Judith Yue Li, Yanwei Song, Reza Mirghaderi, Vikram Aggarwal, Fuli Feng, Zenglin Xu, Dongfang Liu, Qifan Wang

International Joint Conference on Natural Language Processing and Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (IJCNLP-AACL)

DOI

2024

Transferring Causal Mechanism over Meta-representations for Target-Unknown Cross-domain Recommendation

Shengyu Zhang, Qiaowei Miao, Ping Nie, Meng-Ze Li, Zhengyu Chen, Fuli Feng, Kun Kuang, Fei Wu

ACM Trans. Inf. Syst.

DOI

2024

HoGRN: Explainable Sparse Knowledge Graph Completion via High-Order Graph Reasoning Network

Weijian Chen, Yixin Cao, Fuli Feng, Xiangnan He, Yongdong Zhang

IEEE Transactions on Knowledge and Data Engineering

DOI

2024

Mitigating Hidden Confounding Effects for Causal Recommendation

Xinyuan Zhu, Yang Zhang, Fuli Feng, Xun Yang, Dingxian Wang, Xiangnan He

IEEE Transactions on Knowledge and Data Engineering

DOI

2024

Causal Inference in Recommender Systems: A Survey and Future Directions

Chen Gao, Yu Zheng, Wenjie Wang, Fuli Feng, Xiangnan He, Yong Li

ACM Transactions on Information Systems

DOI

2024

TAT-LLM: A Specialized Language Model for Discrete Reasoning over Financial Tabular and Textual Data

Fengbin Zhu, Ziyang Liu, Fuli Feng, Chao Wang, Moxin Li, Tat‐Seng Chua

ACM International Conference on AI in Finance (ICAIF)

DOI

2024

Recommendation Unlearning via Influence Function

Yang Zhang, Zhiyu Hu, Yimeng Bai, Jiancan Wu, Qifan Wang, Fuli Feng

ACM Transactions on Recommender Systems

DOI

2024

Learnable Item Tokenization for Generative Recommendation

Wenjie Wang, Honghui Bao, Xinyu Lin, Jizhi Zhang, Yongqi Li, Fuli Feng, See-Kiong Ng, Tat‐Seng Chua

ACM International Conference on Information and Knowledge Management (CIKM)

DOI

2024

Preliminary Study on Incremental Learning for Large Language Model-based Recommender Systems

Tianhao Shi, Yang Zhang, Zhijian Xu, Chong Chen, Fuli Feng, Xiangnan He, Qi Chuan Tian

ACM International Conference on Information and Knowledge Management (CIKM)

DOI

2024

M2PT: Multimodal Prompt Tuning for Zero-shot Instruction Learning

Taowen Wang, Yiyang Liu, Jia Liang, Junhan Zhao, Yiming Cui, Yuning Mao, Shaoliang Nie, Jiahao Liu, Fuli Feng, Zenglin Xu, Cheng Hao Han, Lifu Huang, Qifan Wang, Dongfang Liu

Conference on Empirical Methods in Natural Language Processing (EMNLP)

DOI

2024

Bridging Items and Language: A Transition Paradigm for Large Language Model-Based Recommendation

Xinyu Lin, Wenjie Wang, Yongqi Li, Fuli Feng, See-Kiong Ng, Tat‐Seng Chua

ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)

DOI

2024

Debiased Recommendation with Noisy Feedback

Haoxuan Li, Chunyuan Zheng, Wenjie Wang, Hao Wang, Fuli Feng, Xiao‐Hua Zhou

ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)

DOI

2024

GradCraft: Elevating Multi-task Recommendations through Holistic Gradient Crafting

Yimeng Bai, Yang Zhang, Fuli Feng, Jing Lu, Xiaoxue Zang, Chenyi Lei, Yang Song

ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)

DOI

2024

Data-efficient Fine-tuning for LLM-based Recommendation

Xinyu Lin, Wenjie Wang, Yongqi Li, Shuo Yang, Fuli Feng, Yinwei Wei, Tat‐Seng Chua

International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)

DOI

2024

Denoising Diffusion Recommender Model

Jujia Zhao, Wenjie Wang, Yiyan Xu, Teng Sun, Fuli Feng, Tat‐Seng Chua

International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)

DOI

2024

Diffusion Models for Generative Outfit Recommendation

Yiyan Xu, Wenjie Wang, Fuli Feng, Yunshan Ma, Jizhi Zhang, Xiangnan He

International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)

DOI

2024

Large Language Models are Learnable Planners for Long-Term Recommendation

Wentao Shi, Xiangnan He, Yang Zhang, Chongming Gao, Xinyue Li, Jizhi Zhang, Qifan Wang, Fuli Feng

International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)

DOI

2024

Large Language Models for Recommendation: Past, Present, and Future

Keqin Bao, Jizhi Zhang, Xinyu Lin, Yang Zhang, Wenjie Wang, Fuli Feng

International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)

DOI

2024

Leave No Patient Behind: Enhancing Medication Recommendation for Rare Disease Patients

Zihao Zhao, Yi Jing, Fuli Feng, Jiancan Wu, Chongming Gao, Xiangnan He

International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)

DOI

2024

Fair Recommendations with Limited Sensitive Attributes: A Distributionally Robust Optimization Approach

Tianhao Shi, Yang Zhang, Jizhi Zhang, Fuli Feng, Xiangnan He

International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)

DOI

2024

Decoding Matters: Addressing Amplification Bias and Homogeneity Issue in Recommendations for Large Language Models

Keqin Bao, Jizhi Zhang, Yang Zhang, Xinyue Huo, Chong Chen, Fuli Feng

Conference on Empirical Methods in Natural Language Processing (EMNLP)

DOI

2024

Causal Intervention for Fairness in Multibehavior Recommendation

Xi Wang, Wenjie Wang, Fuli Feng, Wenge Rong, Chuantao Yin, Zhang Xiong

IEEE Transactions on Computational Social Systems

DOI

2024

Large Language Models for Recommendation: Progresses and Future Directions

Jizhi Zhang, Keqin Bao, Yang Zhang, Wenjie Wang, Fuli Feng, Xiangnan He

ACM Web Conference (WWW)

DOI

2024

Proactive Recommendation with Iterative Preference Guidance

Shuxian Bi, Wenjie Wang, Hang Pan, Fuli Feng, Xiangnan He

ACM Web Conference (WWW)

DOI

2024

The 2nd Workshop on Recommendation with Generative Models

Wenjie Wang, Yang Zhang, Xinyu Lin, Fuli Feng, Weiwen Liu, Yong Liu, Xiangyu Zhao, Wayne Xin Zhao, Yang Song, Xiangnan He

ACM Web Conference (WWW)

DOI

2024

Understanding and Counteracting Feature-Level Bias in Click-Through Rate Prediction

Jinqiu Jin, Sihao Ding, Wenjie Wang, Fuli Feng

ACM Web Conference (WWW)

DOI

2024

Item-side Fairness of Large Language Model-based Recommendation System

Meng Jiang, Keqin Bao, Jizhi Zhang, Wenjie Wang, Zhengyi Yang, Fuli Feng, Xiangnan He

ACM Web Conference (WWW)

DOI

2024

Lower-Left Partial AUC: An Effective and Efficient Optimization Metric for Recommendation

Wentao Shi, Chenxu Wang, Fuli Feng, Yang Zhang, Wenjie Wang, Junkang Wu, Xiangnan He

ACM Web Conference (WWW)

DOI

2024

Uplift Modeling for Target User Attacks on Recommender Systems

Wenjie Wang, Changsheng Wang, Fuli Feng, Wentao Shi, Daizong Ding, Tat‐Seng Chua

ACM Web Conference (WWW)

DOI

2024

Temporally and Distributionally Robust Optimization for Cold-Start Recommendation

Xinyu Lin, Wenjie Wang, Jujia Zhao, Yongqi Li, Fuli Feng, Tat‐Seng Chua

Proceedings of the AAAI Conference on Artificial Intelligence

DOI

2024

LabelCraft: Empowering Short Video Recommendations with Automated Label Crafting

Yimeng Bai, Yang Zhang, Jing Lu, Jianxin Chang, Xiaoxue Zang, Yanan Niu, Yang Song, Fuli Feng

ACM International Conference on Web Search and Data Mining (WSDM)

DOI

2024

Text-like Encoding of Collaborative Information in Large Language Models for Recommendation

Yang Zhang, Keqin Bao, Ming Yan, Wenjie Wang, Fuli Feng, Xiangnan He

Annual Meeting of the Association for Computational Linguistics (ACL)

DOI

2024

Evaluating Mathematical Reasoning of Large Language Models: A Focus on Error Identification and Correction

Xiaoyuan Li, Wenjie Wang, Moxin Li, Junrong Guo, Yang Zhang, Fuli Feng

DOI

2024

Think Twice Before Trusting: Self-Detection for Large Language Models through Comprehensive Answer Reflection

Moxin Li, Wenjie Wang, Fuli Feng, Fengbin Zhu, Qifan Wang, Tat‐Seng Chua

DOI

2024

EAVE: Efficient Product Attribute Value Extraction via Lightweight Sparse-layer Interaction

Yang Li, Qifan Wang, Jianfeng Chi, Jiahao Liu, Jingang Wang, Fuli Feng, Zenglin Xu, Yi Fang, Lifu Huang, Dongfang Liu

DOI

2024

Direct Multi-Turn Preference Optimization for Language Agents

Wentao Shi, Mengqi Yuan, Junkang Wu, Qifan Wang, Fuli Feng

Conference on Empirical Methods in Natural Language Processing (EMNLP)

DOI

2024

Dual-Phase Accelerated Prompt Optimization

Muchen Yang, Moxin Li, Yongle Li, Zijun Chen, Chongming Gao, Junqi Zhang, Yangyang Li, Fuli Feng

DOI

2023

Stable Prediction on Graphs with Agnostic Distribution Shifts

Shengyu Zhang, Yunze Tong, Kun Kuang, Fuli Feng, Jie-Zhong Qiu, Jin Yu, Zhou Zhao, Hongxia Yang, Zhongfei Zhang, Fei Wu

CDPD

2023

RoAST: Robustifying Language Models via Adversarial Perturbation with Selective Training

Jaehyung Kim, Yuning Mao, Rui Hou, Hanchao Yu, Davis Liang, Pascale Fung, Qifan Wang, Fuli Feng, Lifu Huang, Madian Khabsa

DOI

2023

Interactive active learning for fairness with partial group label

Zeyu Yang, Jizhi Zhang, Fuli Feng, Chongming Gao, Qifan Wang, Xiangnan He

AI Open

DOI

2023

SLED: Structure Learning based Denoising for Recommendation

Shengyu Zhang, Tan Jiang, Kun Kuang, Fuli Feng, Jin Yu, Jianxin Ma, Zhou Zhao, Jianke Zhu, Hongxia Yang, Tat‐Seng Chua, Fei Qing Wu

ACM Transactions on Information Systems

DOI

2023

Causal Distillation for Alleviating Performance Heterogeneity in Recommender Systems

Shengyu Zhang, Ziqi Jiang, Jiangchao Yao, Fuli Feng, Kun Kuang, Zhou Zhao, Shuo Li, Hongxia Yang, Tat‐Seng Chua, Fei Qing Wu

IEEE Transactions on Knowledge and Data Engineering

DOI

2023

Causal Disentangled Recommendation against User Preference Shifts

Wenjie Wang, Xinyu Lin, Liuhui Wang, Fuli Feng, Yunshan Ma, Tat‐Seng Chua

ACM Transactions on Information Systems

DOI

2023

When I Fall in Love: Capturing Video-Oriented Social Relationship Evolution via Attentive GNN

Penggang Qin, Shiwei Wu, Tong Xu, Yanbin Hao, Fuli Feng, Chen Zhu, Enhong Chen

IEEE Transactions on Circuits and Systems for Video Technology

DOI

2023

Partial Annotation-based Video Moment Retrieval via Iterative Learning

Wei Ji, Renjie Liang, Lizi Liao, Hao Fei, Fuli Feng

ACM International Conference on Multimedia (ACM MM)

DOI

2023

Equivariant Learning for Out-of-Distribution Cold-start Recommendation

Wenjie Wang, Xinyu Lin, Liuhui Wang, Fuli Feng, Yinwei Wei, Tat‐Seng Chua

ACM International Conference on Multimedia (ACM MM)

DOI

2023

Leveraging Watch-time Feedback for Short-Video Recommendations: A Causal Labeling Framework

Yang Zhang, Yimeng Bai, Jianxin Chang, Xiaoxue Zang, Song Lu, Jing Lu, Fuli Feng, Yanan Niu, Yang Song

ACM International Conference on Information and Knowledge Management (CIKM)

DOI

2023

The 1st Workshop on Recommendation with Generative Models

Wenjie Wang, Yong Liu, Yang Zhang, Weiwen Liu, Fuli Feng, Xiangnan He, Aixin Sun

ACM International Conference on Information and Knowledge Management (CIKM)

DOI

2023

TALLRec: An Effective and Efficient Tuning Framework to Align Large Language Model with Recommendation

Keqin Bao, Jizhi Zhang, Yang Zhang, Wenjie Wang, Fuli Feng, Xiangnan He

ACM Conference on Recommender Systems (RecSys)

DOI

2023

Is ChatGPT Fair for Recommendation? Evaluating Fairness in Large Language Model Recommendation

Jizhi Zhang, Keqin Bao, Yang Zhang, Wenjie Wang, Fuli Feng, Xiangnan He

ACM Conference on Recommender Systems (RecSys)

DOI

2023

RecAD: Towards A Unified Library for Recommender Attack and Defense

CHANGSHENG WANG, Jianbai Ye, Wenjie Wang, Chongming Gao, Fuli Feng, Xiangnan He

ACM Conference on Recommender Systems (RecSys)

DOI

2023

ADRNet: A Generalized Collaborative Filtering Framework Combining Clinical and Non-Clinical Data for Adverse Drug Reaction Prediction

Haoxuan Li, Taojun Hu, Zetong Xiong, Chunyuan Zheng, Fuli Feng, Xiangnan He, Xiao‐Hua Zhou

ACM Conference on Recommender Systems (RecSys)

DOI

2023

Rethinking Missing Data: Aleatoric Uncertainty-Aware Recommendation

Chenxu Wang, Fuli Feng, Yang Zhang, Qifan Wang, Xunhan Hu, Xiangnan He

IEEE Transactions on Big Data

DOI

2023

Discriminative-Invariant Representation Learning for Unbiased Recommendation

Hang Pan, Jiawei Chen, Fuli Feng, Wentao Shi, Junkang Wu, Xiangnan He

International Joint Conference on Artificial Intelligence

DOI

2023

Diffusion Recommender Model

Wenjie Wang, Yiyan Xu, Fuli Feng, Xinyu Lin, Xiangnan He, Tat‐Seng Chua

International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)

DOI

2023

Causal Recommendation: Progresses and Future Directions

Wenjie Wang, Yang Zhang, Haoxuan Li, Peng Wu, Fuli Feng, Xiangnan He

International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)

DOI

2023

Reformulating CTR Prediction: Learning Invariant Feature Interactions for Recommendation

Yang Zhang, Tianhao Shi, Fuli Feng, Wenjie Wang, Dingxian Wang, Xiangnan He, Yongdong Zhang

International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)

DOI

2023

Prediction then Correction: An Abductive Prediction Correction Method for Sequential Recommendation

Yulong Huang, Yang Zhang, Qifan Wang, Chenxu Wang, Fuli Feng

International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)

DOI

2023

Black-Box Adversarial Attack on Time Series Classification

Daizong Ding, Mi Zhang, Fuli Feng, Yuanmin Huang, Erling Jiang, Min Yang

Proceedings of the AAAI Conference on Artificial Intelligence

DOI

2023

Video-Audio Domain Generalization via Confounder Disentanglement

Shengyu Zhang, Xu-Sheng Feng, Wenyan Fan, Wenjing Fang, Fuli Feng, Wei Ji, Shuo Li, Li Wang, Shanshan Zhao, Zhou Zhao, Tat‐Seng Chua, Fei Qing Wu

Proceedings of the AAAI Conference on Artificial Intelligence

DOI

2023

SoarGraph: Numerical Reasoning over Financial Table-Text Data via Semantic-Oriented Hierarchical Graphs

Fengbin Zhu, Moxin Li, Junbin Xiao, Fuli Feng, Chao Wang, Tat‐Seng Chua

ACM Web Conference (WWW)

DOI

2023

On the Theories Behind Hard Negative Sampling for Recommendation

Wentao Shi, Jiawei Chen, Fuli Feng, Jizhi Zhang, Junkang Wu, Chongming Gao, Xiangnan He

ACM Web Conference (WWW)

DOI

2023

MaSS: Model-agnostic, Semantic and Stealthy Data Poisoning Attack on Knowledge Graph Embedding

Xiaoyu You, Beina Sheng, Daizong Ding, Mi Zhang, Xudong Pan, Min Yang, Fuli Feng

ACM Web Conference (WWW)

DOI

2023

Anti-FakeU: Defending Shilling Attacks on Graph Neural Network based Recommender Model

Xiaoyu You, Chi Li, Daizong Ding, Mi Zhang, Fuli Feng, Xudong Pan, Min Yang

ACM Web Conference (WWW)

DOI

2023

Learning to Double-Check Model Prediction From a Causal Perspective

Xun Deng, Fuli Feng, Xiang Wang, Xiangnan He, Hanwang Zhang, Tat‐Seng Chua

IEEE Transactions on Neural Networks and Learning Systems

DOI

2023

LightMIRM: Light Meta-learned Invariant Risk Minimization for Trustworthy Loan Default Prediction

Meng Jiang, Yang Zhang, Yuan Gao, Yansong Wang, Fuli Feng, Xiangnan He

Proceedings - International Conference on Data Engineering

DOI

2023

Personalized Latent Structure Learning for Recommendation

Shengyu Zhang, Fuli Feng, Kun Kuang, Wenqiao Zhang, Zhou Zhao, Hongxia Yang, Tat‐Seng Chua, Fei Qing Wu

IEEE Transactions on Pattern Analysis and Machine Intelligence

DOI

2023

Unbiased Knowledge Distillation for Recommendation

Gang Chen, Jiawei Chen, Fuli Feng, Sheng Zhou, Xiangnan He

DOI

2023

A Causal View for Item-level Effect of Recommendation on User Preference

Wei Cai, Fuli Feng, Qifan Wang, Yang Tian, Zhenguang Liu, Congfu Xu

DOI

2023

Mitigating Spurious Correlations for Self-supervised Recommendation

Xinyu Lin, Yiyan Xu, Wenjie Wang, Yang Zhang, Fuli Feng

Machine Intelligence Research

DOI

2023

Information Retrieval meets Large Language Models: A strategic report from Chinese IR community

Qingyao Ai, Ting Bai, Zhao Cao, Yi Chang, Jiawei Chen, Zhumin Chen, Zhiyong Cheng, Shoubin Dong, Zhicheng Dou, Fuli Feng, Shen Gao, Jiafeng Guo, Xiangnan He, Yanyan Lan, Chenliang Li, Yiqun Liu, Ziyu Lyu, Weizhi Ma, Jun Ma, Zhaochun Ren, Pengjie Ren, Zhiqiang Wang, Mingwen Wang, Ji-Rong Wen, Wu Le, Xin Xin, Jun Xu, Dawei Yin, Peng Zhang, Fan Zhang, Weinan Zhang, Min Zhang, Xiaofei Zhu

AI Open

DOI

2023

Attack Prompt Generation for Red Teaming and Defending Large Language Models

Boyi Deng, Wenjie Wang, Fuli Feng, Yang Deng, Qifan Wang, Xiangnan He

DOI

2023

APrompt: Attention Prompt Tuning for Efficient Adaptation of Pre-trained Language Models

Qifan Wang, Yuning Mao, Jingang Wang, Hanchao Yu, Shaoliang Nie, Sinong Wang, Fuli Feng, Lifu Huang, Xiaojun Quan, Zenglin Xu, Dongfang Liu

Conference on Empirical Methods in Natural Language Processing (EMNLP)

DOI

2023

MixPAVE: Mix-Prompt Tuning for Few-shot Product Attribute Value Extraction

Li Yang, Qifan Wang, Jingang Wang, Xiaojun Quan, Fuli Feng, Yu Chen, Madian Khabsa, Sinong Wang, Zenglin Xu, Dongfang Liu

DOI

2023

MUSTIE: Multimodal Structural Transformer for Web Information Extraction

Qifan Wang, Jingang Wang, Xiaojun Quan, Fuli Feng, Zenglin Xu, Shaoliang Nie, Sinong Wang, Madian Khabsa, Hamed Firooz, Dongfang Liu

Annual Meeting of the Association for Computational Linguistics (ACL)

DOI

2023

Counterfactual Active Learning for Out-of-Distribution Generalization

Xun Deng, Wenjie Wang, Fuli Feng, Hanwang Zhang, Xiangnan He, Yong Liao

Annual Meeting of the Association for Computational Linguistics (ACL)

DOI

2023

Robust Prompt Optimization for Large Language Models Against Distribution Shifts

Moxin Li, Wenjie Wang, Fuli Feng, Yixin Cao, Jizhi Zhang, Tat‐Seng Chua

Conference on Empirical Methods in Natural Language Processing (EMNLP)

DOI

2023

Hypothetical Training for Robust Machine Reading Comprehension of Tabular Context

Moxin Li, Wenjie Wang, Fuli Feng, Hanwang Zhang, Qifan Wang, Tat‐Seng Chua

DOI

2022

Towards Complex Document Understanding By Discrete Reasoning

Fengbin Zhu, Wenqiang Lei, Fuli Feng, Chao Wang, Haozhou Zhang, Tat‐Seng Chua

ACM International Conference on Multimedia (ACM MM)

DOI

2022

Invariant Representation Learning for Multimedia Recommendation

Xiaoyu Du, Zike Wu, Fuli Feng, Xiangnan He, Jinhui Tang

ACM International Conference on Multimedia (ACM MM)

DOI

2022

Addressing Unmeasured Confounder for Recommendation with Sensitivity Analysis

Sihao Ding, Peng Wu, Fuli Feng, Yitong Wang, Xiangnan He, Yong Liao, Yongdong Zhang

ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)

DOI

2022

UD-GNN

Yang Liu, Xiang Ao, Fuli Feng, Qing He

ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)

DOI

2022

User-controllable Recommendation Against Filter Bubbles

Wenjie Wang, Fuli Feng, Liqiang Nie, Tat‐Seng Chua

International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)

DOI

2022

Interpolative Distillation for Unifying Biased and Debiased Recommendation

Sihao Ding, Fuli Feng, Xiangnan He, Jinqiu Jin, Wenjie Wang, Yong Liao, Yongdong Zhang

International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)

DOI

2022

Structured and Natural Responses Co-generation for Conversational Search

Chenchen Ye, Lizi Liao, Fuli Feng, Wei Ji, Tat‐Seng Chua

International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)

DOI

2022

GL-RG: Global-Local Representation Granularity for Video Captioning

Liqi Yan, Qifan Wang, Yiming Cui, Fuli Feng, Xiaojun Quan, Xiangyu Zhang, Dongfang Liu

International Joint Conference on Artificial Intelligence

DOI

2022

Copy Motion From One to Another: Fake Motion Video Generation

Zhenguang Liu, Sifan Wu, Chejian Xu, Xiang Wang, Lei Zhu, Shuang Wu, Fuli Feng

International Joint Conference on Artificial Intelligence

DOI

2022

Dynamic Hypergraph Convolutional Network

Nan Yin, Fuli Feng, Zhigang Luo, Xiang Zhang, Wenjie Wang, Xiao Luo, Chong Chen, Xian‐Sheng Hua

Proceedings - International Conference on Data Engineering

DOI

2022

Reinforced Causal Explainer for Graph Neural Networks

Xiang Wang, Yingxin Wu, An Zhang, Fuli Feng, Xiangnan He, Tat‐Seng Chua

IEEE Transactions on Pattern Analysis and Machine Intelligence

DOI

2022

Causal Representation Learning for Out-of-Distribution Recommendation

Wenjie Wang, Xinyu Lin, Fuli Feng, Xiangnan He, Min Lin, Tat‐Seng Chua

ACM Web Conference (WWW)

DOI

2022

WebFormer: The Web-page Transformer for Structure Information Extraction

Qifan Wang, Yi Qiu Fang, Anirudh Ravula, Fuli Feng, Xiaojun Quan, Dongfang Liu

ACM Web Conference (WWW)

DOI

2022

Learning Robust Recommenders through Cross-Model Agreement

Yu Wang, Xin Xin, Zaiqiao Meng, Joemon M. Jose, Fuli Feng, Xiangnan He

ACM Web Conference (WWW)

DOI

2022

Re4: Learning to Re-contrast, Re-attend, Re-construct for Multi-interest Recommendation

Shengyu Zhang, Lingxiao Yang, Dong Yao, Yujie Lu, Fuli Feng, Zhou Zhao, Tat‐Seng Chua, Fei Qing Wu

ACM Web Conference (WWW)

DOI

2022

Causal Incremental Graph Convolution for Recommender System Retraining

Sihao Ding, Fuli Feng, Xiangnan He, Yong Liao, Jun Shi, Yongdong Zhang

IEEE Transactions on Neural Networks and Learning Systems

DOI

2022

Learning to Imagine: Integrating Counterfactual Thinking in Neural Discrete Reasoning

Moxin Li, Fuli Feng, Hanwang Zhang, Xiangnan He, Fengbin Zhu, Tat‐Seng Chua

Annual Meeting of the Association for Computational Linguistics (ACL)

DOI

2022

Learning to Generate Question by Asking Question: A Primal-Dual Approach with Uncommon Word Generation

Qifan Wang, Li Yang, Xiaojun Quan, Fuli Feng, Dongfang Liu, Zenglin Xu, Sinong Wang, Hao Ma

Conference on Empirical Methods in Natural Language Processing (EMNLP)

DOI

2022

Bias and Debias in Recommender System: A Survey and Future Directions

Jiawei Chen, Hande Dong, Xiang Wang, Fuli Feng, Meng Wang, Xiangnan He

ACM Transactions on Information Systems

DOI

2022

Addressing Confounding Feature Issue for Causal Recommendation

Xiangnan He, Yang Zhang, Fuli Feng, Chonggang Song, Lingling Yi, Guohui Ling, Yongdong Zhang

ACM Transactions on Information Systems

DOI

精选作品

期刊论文

AlpsBench: An LLM Personalization Benchmark for Real-Dialogue Memorization and Preference Alignment

Filtering LLM-Synthesized Data for Cold-Start Recommendation: A Progressive Influence Function Approach

Reason4Rec: Deliberative User Preference Alignment of Large Language Models for Recommendation

Negative Sampling in Recommendation: A Survey and Future Directions

RECAP: Feedback-Driven Streaming Semantic User Profiles for Short-Video Recommendation

SETRec++: Scaling Order-agnostic Identifier for Large Language Model-based Generative Recommendation

PILA'26: Personal Intelligence in Agentic AI Era

Intuition-Guided Latent Reasoning for LLM-Based Recommendation

Uncertainty-aware Generative Recommendation

Bi-Level Optimization for Generative Recommendation: Bridging Tokenization and Generation

LLM Personalization: Foundations, Breakthroughs, and Frontiers

One Adapts to Any: Meta Reward Modeling for Personalized LLM Alignment

MURE: Hierarchical Multi-Resolution Encoding via Vision-Language Models for Visual Document Retrieval

MGFRec: Towards Reinforced Reasoning Recommendation with Multiple Groundings and Feedback

KnitLoRA: bridging low-rank adaptation as interwoven layers for deeper semantic reasoning

Bringing Reasoning to Generative Recommendation Through the Lens of Cascaded Ranking

Don’t Start Over: A Cost-Effective Framework for Migrating Personalized Prompts Between LLMs

Navigating Through Paper Flood: Advancing LLM-Based Paper Evaluation Through Domain-Aware Retrieval and Latent Reasoning

PERM: Psychology-grounded Empathetic Reward Modeling for Large Language Models

Controllable LLM Reasoning via Sparse Autoencoder-Based Steering

MMDocBench: Benchmarking Large Vision-Language Models for Fine-Grained Visual Document Understanding and Grounding

Efficient Multi-Agent System Training with Data Influence-Oriented Tree Search

MTR-Bench: A Comprehensive Benchmark for Multi-Turn Reasoning Evaluation

TROJail: Trajectory-Level Optimization for Multi-Turn Large Language Model Jailbreaks with Process Rewards

ReList: A Multi-objective Reasoning Framework for Diversified Listwise Query Recommendation

AJ-Bench: Benchmarking Agent-as-a-Judge for Environment-Aware Evaluation

A Survey of Generative Recommendation: Toward Next-Generation Recommender Paradigm

Batch-Adaptive Doubly Robust Learning for Debiasing Post-Click Conversion Rate Prediction Under Sparse Data

Exact and Efficient Unlearning for Large Language Model-Based Recommendation

Pre-Trained Models for Search and Recommendation: Introduction to the Special Issue—Part 2

Independent or Social Driven Decision? A Counterfactual Refinement Strategy for Graph-Based Social Recommendation

CoLLM: Integrating Collaborative Embeddings Into Large Language Models for Recommendation

Pre-Trained Models for Search and Recommendation: Introduction to the Special Issue—Part 1

Incremental Learning for LLM-based Tokenization and Recommendation

An LLM-based Behavior Modeling Framework for Malicious User Detection

AppAgent-Pro: A Proactive GUI Agent System for Multidomain Information Integration and User Assistance

DRC: Enhancing Personalized Image Generation via Disentangled Representation Composition

Towards Temporal-Aware Multi-Modal Retrieval Augemented Generation in Finance

Heterogeneous User Modeling for LLM-based Recommendation

Order-agnostic Identifier for Large Language Model-based Generative Recommendation

Agentic Feedback Loop Modeling Improves Recommendation and User Simulation

Navigating Large Language Models for Recommendation: From Architecture to Learning Paradigms and Deployment

Unconstrained Monotonic Calibration of Predictions in Deep Ranking Systems

FinIR: The 2nd Workshop on Financial Information Retrieval in the Era of Generative AI

Fair Recommendation with Biased-Limited Sensitive Attribute

Generative Recommendation: Towards Personalized Multimodal Content Generation

The 3rd Workshop on Personal Intelligence with Generative AI

Leveraging LLMs for Influence Path Planning in Proactive Recommendation

Leveraging Memory Retrieval to Enhance LLM-based Generative Recommendation

Debias Can Be Unreliable: Mitigating Bias in Evaluating Debiasing Recommendation

Envisioning Recommendations on an LLM-Based Agent Platform

Personalized Image Generation with Large Multimodal Models

CrAM: Credibility-Aware Attention Modification in LLMs for Combating Misinformation in RAG

Pre-trained Behavioral Model for Malicious User Prediction on Social Platform

Improving Synthetic Image Detection Towards Generalization: An Image Transformation Perspective

A Bi-Step Grounding Paradigm for Large Language Models in Recommendation Systems

Personalized Generation In Large Model Era: A Survey

Latent Inter-User Difference Modeling for LLM Personalization

Self-Improvement Towards Pareto Optimality: Mitigating Preference Conflicts in Multi-Objective Alignment

Measuring What Makes You Unique: Difference-Aware User Modeling for Enhancing LLM Personalization

Unveiling Language-Specific Features in Large Language Models via Sparse Autoencoders

Tunable LLM-based Proactive Recommendation Agent

Examining False Positives under Inference Scaling for Mathematical Reasoning

K-order Ranking Preference Optimization for Large Language Models

Proactive Recommendation in Social Networks: Steering user interest with causal inference

Large Language Models with Multi-faceted Relation Alignment for User Novel Interest Discovery

Consistency-Aware Online Multi-Objective Alignment for Related Search Query Generation

Disentangling Reasoning Tokens and Boilerplate Tokens For Language Model Fine-tuning

Assistant-Guided Mitigation of Teacher Preference Bias in LLM-as-a-Judge

Item-Language Model: Improving Large Language Model for Recommendation via Item-Language Representation Learning

Transferring Causal Mechanism over Meta-representations for Target-Unknown Cross-domain Recommendation

HoGRN: Explainable Sparse Knowledge Graph Completion via High-Order Graph Reasoning Network

Mitigating Hidden Confounding Effects for Causal Recommendation

Causal Inference in Recommender Systems: A Survey and Future Directions

TAT-LLM: A Specialized Language Model for Discrete Reasoning over Financial Tabular and Textual Data

Recommendation Unlearning via Influence Function

Learnable Item Tokenization for Generative Recommendation

Preliminary Study on Incremental Learning for Large Language Model-based Recommender Systems