Fengbin Zhu

According to our database, Fengbin Zhu authored at least 52 papers between 2021 and 2026.

Collaborative distances:

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

2026

Plant, Persist, Trigger: Sleeper Attack on Large Language Model Agents.

Yongxiang Li, Moxin Li, Zhixin Ma, Fengbin Zhu, Dongrui Liu, Wenjie Wang, Fuli Feng

CoRR, May, 2026

Unified Data Selection for LLM Reasoning.

Xiaoyuan Li, Yubo Ma, Chengpeng Li, Fengbin Zhu, Yiyao Yu, Keqin Bao, Wenjie Wang, Fuli Feng, Dayiheng Liu

CoRR, May, 2026

Herculean: An Agentic Benchmark for Financial Intelligence.

Xueqing Peng, Zhuohan Xie, Yupeng Cao, Haohang Li, Lingfei Qian, Yan Wang, Vincent Jim Zhang, Huan He, Xuguang Ai, Linhai Ma, Ruoyu Xiang, Yueru He, Yi Han, Shuyao Wang, Yuqing Guo, Mingyang Jiang, Yilun Zhao, Youzhong Dong, Xiaoyu Wang, Yankai Chen, Ye Yuan, Qiyuan Zhang, Fuyuan Lyu, Haolun Wu, Yonghan Yang, Zichen Zhao, Yuyang Dai, Fan Zhang, Rania Elbadry, Ayesha Gull, Muhammad Usman Safder, Nuo Chen, Fengbin Zhu, Tianshi Cai, Zimu Wang, Polydoros Giannouris, Yuechen Jiang, Zhiwei Liu, Mohsinul Kabir, Yuyan Wang, Yixiang Zheng, Yangyang Yu, Weijin Liu, Wenbo Cao, Anke Xu, Peng Lu, Jerry Huang, Mingquan Lin, Prayag Tiwari, Yijia Zhao, Víctor Gutiérrez-Basulto, Xiao-Yang Liu, Kaleb E. Smith, Jiahuan Pei, Arman Cohan, Jimin Huang, Yuehua Tang, Alejandro Lopez-Lira, Xi Chen, Xue Liu, Junichi Tsujii, Jian-Yun Nie, Sophia Ananiadou

CoRR, May, 2026

Scale over Preference: The Impact of AI-Generated Content on Online Content Ecology.

Tianhao Shi, Yang Zhang, Xiaoyan Zhao, Fengbin Zhu, Chenyi Lei, Han Li, Wenwu Ou, Yang Song, Yongdong Zhang, Fuli Feng

CoRR, April, 2026

CAPSUL: A Comprehensive Human Protein Benchmark for Subcellular Localization.

Yicheng Hu, Xinyu Lin, Shulin Li, Wenjie Wang, Fengbin Zhu, Fuli Feng

CoRR, March, 2026

NextAds: Towards Next-generation Personalized Video Advertising.

Yiyan Xu, Ruoxuan Xia, Wuqiang Zheng, Fengbin Zhu, Wenjie Wang, Fuli Feng

CoRR, March, 2026

DiffuRank: Effective Document Reranking with Diffusion Language Models.

Qi Liu, Kun Ai, Jiaxin Mao, Yanzhao Zhang, Mingxin Li, Dingkun Long, Pengjun Xie, Fengbin Zhu, Ji-Rong Wen

CoRR, February, 2026

SafeNeuron: Neuron-Level Safety Alignment for Large Language Models.

Zhaoxin Wang, Jiaming Liang, Fengbin Zhu, Weixiang Zhao, Junfeng Fang, Jiayi Ji, Handing Wang, Tat-Seng Chua

CoRR, February, 2026

Controllable Value Alignment in Large Language Models through Neuron-Level Editing.

Yonghui Yang, Junwei Li, Jilong Liu, Yicheng He, Fengbin Zhu, Weibiao Huang, Le Wu, Richang Hong, Tat-Seng Chua

CoRR, February, 2026

MiniRec: Data-Efficient Reinforcement Learning for LLM-based Recommendation.

Lin Wang, Yang Zhang, Jingfan Chen, Xiaoyan Zhao, Fengbin Zhu, Qing Li, Tat-Seng Chua

CoRR, February, 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

CoRR, January, 2026

Opening the Black Box: A Survey on the Mechanisms of Multi-Step Reasoning in Large Language Models.

Liangming Pan, Jason Liang, Jiaran Ye, Minglai Yang, Xinyuan Lu, Fengbin Zhu

CoRR, January, 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

CoRR, January, 2026

FinDeepForecast: A Live Multi-Agent System for Benchmarking Deep Research Agents in Financial Forecasting.

Xiangyu Li, Xuan Yao, Guohao Qi, Fengbin Zhu, Kelvin J. L. Koa, Xiang Yao Ng, Ziyang Liu, Xingyu Ni, Chang Liu, Yonghui Yang, Yang Zhang, Wenjie Wang, Fuli Feng, Chao Wang, Huanbo Luan, Xiaofen Xing, Xiangmin Xu, Tat-Seng Chua, Ke-Wei Huang

CoRR, January, 2026

BalDRO: A Distributionally Robust Optimization based Framework for Large Language Model Unlearning.

Pengyang Shao, Naixin Zhai, Lei Chen, Yonghui Yang, Fengbin Zhu, Xun Yang, Meng Wang

Proceedings of the ACM Web Conference 2026, 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

Proceedings of the MultiMedia Modeling, 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

Proceedings of the 2026 International Conference on Multimedia Retrieval, 2026

2025

FinDeepResearch: Evaluating Deep Research Agents in Rigorous Financial Analysis.

Fengbin Zhu, Xiang Yao Ng, Ziyang Liu, Chang Liu, Xianwei Zeng, Chao Wang, Tianhui Tan, Xuan Yao, Pengyang Shao, Min Xu, Zixuan Wang, Jing Wang, Xin Li, Junfeng Li, Jingxian Zhu, Yang Zhang, Wenjie Wang, Fuli Feng, Richang Hong, Huanbo Luan, Ke-Wei Huang, Tat-Seng Chua

CoRR, October, 2025

Reinforced Strategy Optimization for Conversational Recommender Systems via Network-of-Experts.

Xiaoyan Zhao, Ming Yan, Yang Zhang, Yang Deng, Jian Wang, Fengbin Zhu, Yilun Qiu, Hong Cheng, Tat-Seng Chua

CoRR, September, 2025

Understanding Embedding Scaling in Collaborative Filtering.

Zhuangzhuang He, Zhou Kaiyu, Haoyue Bai, Fengbin Zhu, Yonghui Yang

CoRR, September, 2025

VideoQA in the Era of LLMs: An Empirical Study.

Junbin Xiao, Nanxin Huang, Hangyu Qin, Dongyang Li, Yicong Li, Fengbin Zhu, Zhulin Tao, Jianxing Yu, Liang Lin, Tat-Seng Chua, Angela Yao

Int. J. Comput. Vis., July, 2025

Heterogeneous User Modeling for LLM-based Recommendation.

Honghui Bao, Wenjie Wang, Xilin Chen, Fengbin Zhu, Teng Sun, Fuli Feng, Tat-Seng Chua

CoRR, July, 2025

FinTMMBench: Benchmarking Temporal-Aware Multi-Modal RAG in Finance.

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

CoRR, March, 2025

Optimizing Knowledge Integration in Retrieval-Augmented Generation with Self-Selection.

Yan Weng, Fengbin Zhu, Tong Ye, Haoyan Liu, Fuli Feng, Tat-Seng Chua

CoRR, February, 2025

Reason4Rec: Large Language Models for Recommendation with Deliberative User Preference Alignment.

Yi Fang, Wenjie Wang, Yang Zhang, Fengbin Zhu, Qifan Wang, Fuli Feng, Xiangnan He

CoRR, February, 2025

Understanding Embedding Scaling in Collaborative Filtering.

Yicheng He, Zhou Kaiyu, Haoyue Bai, Fengbin Zhu, Yonghui Yang

Trans. Mach. Learn. Res., 2025

Leveraging Memory Retrieval to Enhance LLM-based Generative Recommendation.

Chengbing Wang, Yang Zhang, Fengbin Zhu, Jizhi Zhang, Tianhao Shi, Fuli Feng

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

Large Language Models Empowered Personalized Web Agents.

Hongru Cai, Yongqi Li, Wenjie Wang, Fengbin Zhu, Xiaoyu Shen, Wenjie Li, Tat-Seng Chua

Proceedings of the ACM on Web Conference 2025, 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 Mehta, Pingping Chen, Bing Xiang, Tat-Seng Chua

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

Long Context vs. RAG: Strategies for Processing Long Documents in LLMs.

Xinze Li, Yushi Bai, Bowen Jin, Fengbin Zhu, Liangming Pan, Yixin Cao

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

Unified Category and Style Generalization for Instance-Level Sketch Retrieval.

Zechao Hu, Zhengwei Yang, Hao Li, Yixiong Zou, Fengbin Zhu, Zheng Wang

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

Heterogeneous User Modeling for LLM-based Recommendation.

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

Proceedings of the Nineteenth ACM Conference on Recommender Systems, 2025

IGD: Token Decisiveness Modeling via Information Gain in LLMs for Personalized Recommendation.

Zijie Lin, Yang Zhang, Xiaoyan Zhao, Fengbin Zhu, Fuli Feng, Tat-Seng Chua

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 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

Proceedings of the 33rd ACM International Conference on Multimedia, 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

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Latent Inter-User Difference Modeling for LLM Personalization.

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

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 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 Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Cooperative SQL Generation for Segmented Databases By Using Multi-functional LLM Agents.

Zhiguang Wu, Fengbin Zhu, Xuequn Shang, Yupei Zhang, Pan Zhou

CoRR, 2024

Effective and Efficient Adversarial Detection for Vision-Language Models via A Single Vector.

Youcheng Huang, Fengbin Zhu, Jingkun Tang, Pan Zhou, Wenqiang Lei, Jiancheng Lv, Tat-Seng Chua

CoRR, 2024

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

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

CoRR, 2024

Think Twice Before Assure: Confidence Estimation for Large Language Models through Reflection on Multiple Answers.

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

CoRR, 2024

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

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

CoRR, 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

Proceedings of the 5th ACM International Conference on AI in Finance, 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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Doc2SoarGraph: Discrete Reasoning over Visually-Rich Table-Text Documents via Semantic-Oriented Hierarchical Graphs.

Fengbin Zhu, Chao Wang, Fuli Feng, Zifeng Ren, Moxin Li, Tat-Seng Chua

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023

Doc2SoarGraph: Discrete Reasoning over Visually-Rich Table-Text Documents with Semantic-Oriented Hierarchical Graphs.

Fengbin Zhu, Chao Wang, Fuli Feng, Zifeng Ren, Moxin Li, Tat-Seng Chua

CoRR, 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

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

2022

RDU: A Region-based Approach to Form-style Document Understanding.

Fengbin Zhu, Chao Wang, Wenqiang Lei, Ziyang Liu, Tat-Seng Chua

CoRR, 2022

Towards Complex Document Understanding By Discrete Reasoning.

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

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Learning to Imagine: Integrating Counterfactual Thinking in Neural Discrete Reasoning.

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

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Retrieving and Reading: A Comprehensive Survey on Open-domain Question Answering.

Fengbin Zhu, Wenqiang Lei, Chao Wang, Jianming Zheng, Soujanya Poria, Tat-Seng Chua

CoRR, 2021

TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance.

Fengbin Zhu, Wenqiang Lei, Youcheng Huang, Chao Wang, Shuo Zhang, Jiancheng Lv, Fuli Feng, Tat-Seng Chua

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021