Wentao Shi

According to our database, Wentao Shi authored at least 33 papers between 2021 and 2026.

Collaborative distances:

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

2026

Look Before You Leap: Autonomous Exploration for LLM Agents.

Ziang Ye, Wentao Shi, Yuxin Liu, Yu Wang, Zhengzhou Cai, Yaorui Shi, Qi Gu, Xunliang Cai, Fuli Feng

CoRR, May, 2026

A General Framework for Multimodal LLM-Based Multimedia Understanding in Large-Scale Recommendation Systems.

Yiming Zhu, Xu Liu, Ziyun Xu, Zheng Wu, Joena Zhang, Sirius Chen, Chenheli Hua, Silvester Yao, Qichao Que, Wentao Shi, Junfeng Pan, Linhong Zhu

CoRR, May, 2026

Objective Shaping with Hard Negatives: Windowed Partial AUC Optimization for RL-based LLM Recommenders.

Wentao Shi, Qifan Wang, Chen Chen, Fei Liu, Dongfang Liu, Xu Liu, Wanli Ma, Junfeng Pan, Linhong Zhu, Fuli Feng

CoRR, April, 2026

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

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

CoRR, April, 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

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 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

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

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

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

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025

RL-MTJail: Reinforcement Learning for Automated Black-Box Multi-Turn Jailbreaking of Large Language Models.

Xiqiao Xiong, Ouxiang Li, Zhuo Liu, Moxin Li, Wentao Shi, Fuli Feng, Xiangnan He

CoRR, December, 2025

VisualTrap: A Stealthy Backdoor Attack on GUI Agents via Visual Grounding Manipulation.

Ziang Ye, Yang Zhang, Wentao Shi, Xiaoyu You, Fuli Feng, Tat-Seng Chua

CoRR, July, 2025

Fine-grained List-wise Alignment for Generative Medication Recommendation.

Chenxiao Fan, Chongming Gao, Wentao Shi, Yaxin Gong, Zihao Zhao, Fuli Feng

CoRR, May, 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

Commun. ACM, May, 2025

Debias Can Be Unreliable: Mitigating Bias in Evaluating Debiasing Recommendation.

Chengbing Wang, Wentao Shi, Jizhi Zhang, Wenjie Wang, Hang Pan, Fuli Feng

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

Process-Supervised LLM Recommenders via Flow-guided Tuning.

Chongming Gao, Mengyao Gao, Chenxiao Fan, Shuai Yuan, Wentao Shi, Xiangnan He

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

Leveraging Unpaired Feedback for Long-Term LLM-based Recommendation Tuning.

Jizhi Zhang, Chongming Gao, Wentao Shi, Xi-Lin Chen, Jingang Wang, Xunliang Cai, Fuli Feng

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

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

Yuyang Zhao, Wentao Shi, Fuli Feng, Xiangnan He

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

Incremental Learning for LLM-based Tokenization and Recommendation.

Haihan Shi, Xinyu Lin, Wenjie Wang, Wentao Shi, Junwei Pan, Jie Jiang, Fuli Feng

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 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

Proceedings of the Findings of the Association for Computational Linguistics, 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

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

2024

Debias Can be Unreliable: Mitigating Bias Issue in Evaluating Debiasing Recommendation.

Chengbing Wang, Wentao Shi, Jizhi Zhang, Wenjie Wang, Hang Pan, Fuli Feng

CoRR, 2024

Enhancing Long-Term Recommendation with Bi-level Learnable Large Language Model Planning.

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

CoRR, 2024

Prospect Personalized Recommendation on Large Language Model-based Agent Platform.

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

CoRR, 2024

Improving Prostate Cancer Risk Prediction through Partial AUC Optimization.

Xinyuan Zhu, Xiaohan Ren, Wentao Shi, Changming Wang, Xuehan Liu, Yuqing Liu, Tao Tao, Fuli Feng

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Uplift Modeling for Target User Attacks on Recommender Systems.

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

Proceedings of the ACM on Web Conference 2024, 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

Proceedings of the ACM on Web Conference 2024, 2024

Towards Reliable and Efficient Long-Term Recommendation with Large Foundation Models.

Wentao Shi

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 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

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

BSL: Understanding and Improving Softmax Loss for Recommendation.

Junkang Wu, Jiawei Chen, Jiancan Wu, Wentao Shi, Jizhi Zhang, Xiang Wang

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Direct Multi-Turn Preference Optimization for Language Agents.

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

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

FFHR: Fully and Flexible Hyperbolic Representation for Knowledge Graph Completion.

Wentao Shi, Junkang Wu, Xuezhi Cao, Jiawei Chen, Wenqiang Lei, Wei Wu, Xiangnan He

CoRR, 2023

On the Theories Behind Hard Negative Sampling for Recommendation.

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

Proceedings of the ACM Web Conference 2023, 2023

Understanding Contrastive Learning via Distributionally Robust Optimization.

Junkang Wu, Jiawei Chen, Jiancan Wu, Wentao Shi, Xiang Wang, Xiangnan He

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Discriminative-Invariant Representation Learning for Unbiased Recommendation.

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

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2021

DisenKGAT: Knowledge Graph Embedding with Disentangled Graph Attention Network.

Junkang Wu, Wentao Shi, Xuezhi Cao, Jiawei Chen, Wenqiang Lei, Fuzheng Zhang, Wei Wu, Xiangnan He

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021