TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance. - Fengbin Zhu; Wenqiang Lei; Youcheng Huang; Chao Wang 049; Shuo Zhang 006; Jiancheng Lv 001; Fuli Feng; Tat-Seng Chua (ACL/IJCNLP (1), 2021)

Retrieving and Reading: A Comprehensive Survey on Open-domain Question Answering. - Fengbin Zhu; Wenqiang Lei; Chao Wang 049; Jianming Zheng; Soujanya Poria; Tat-Seng Chua (CoRR, 2021)

Learning to Imagine: Integrating Counterfactual Thinking in Neural Discrete Reasoning. - Moxin Li; Fuli Feng; Hanwang Zhang; Xiangnan He 001; Fengbin Zhu; Tat-Seng Chua (ACL (1), 2022)

Towards Complex Document Understanding By Discrete Reasoning. - Fengbin Zhu; Wenqiang Lei; Fuli Feng; Chao Wang 049; Haozhou Zhang; Tat-Seng Chua (ACM Multimedia, 2022)

RDU: A Region-based Approach to Form-style Document Understanding. - Fengbin Zhu; Chao Wang 049; Wenqiang Lei; Ziyang Liu; Tat-Seng Chua (CoRR, 2022)

SoarGraph: Numerical Reasoning over Financial Table-Text Data via Semantic-Oriented Hierarchical Graphs. - Fengbin Zhu; Moxin Li; Junbin Xiao; Fuli Feng; Chao Wang 049; Tat-Seng Chua (WWW (Companion Volume), 2023)

Doc2SoarGraph: Discrete Reasoning over Visually-Rich Table-Text Documents with Semantic-Oriented Hierarchical Graphs. - Fengbin Zhu; Chao Wang 049; Fuli Feng; Zifeng Ren; Moxin Li; Tat-Seng Chua (CoRR, 2023)

Doc2SoarGraph: Discrete Reasoning over Visually-Rich Table-Text Documents via Semantic-Oriented Hierarchical Graphs. - Fengbin Zhu; Chao Wang 049; Fuli Feng; Zifeng Ren; Moxin Li; Tat-Seng Chua (LREC/COLING, 2024)

Think Twice Before Trusting: Self-Detection for Large Language Models through Comprehensive Answer Reflection. - Moxin Li; Wenjie Wang 007; Fuli Feng; Fengbin Zhu; Qifan Wang 001; Tat-Seng Chua (EMNLP (Findings), 2024)

TAT-LLM: A Specialized Language Model for Discrete Reasoning over Financial Tabular and Textual Data. - Fengbin Zhu; Ziyang Liu; Fuli Feng; Chao Wang 049; Moxin Li; Tat-Seng Chua (ICAIF, 2024)

TAT-LLM: A Specialized Language Model for Discrete Reasoning over Tabular and Textual Data. - Fengbin Zhu; Ziyang Liu; Fuli Feng; Chao Wang 049; Moxin Li; Tat-Seng Chua (CoRR, 2024)

Think Twice Before Assure: Confidence Estimation for Large Language Models through Reflection on Multiple Answers. - Moxin Li; Wenjie Wang 007; Fuli Feng; Fengbin Zhu; Qifan Wang 001; 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 007; Fuli Feng; Chao Wang 049; Huanbo Luan; Tat-Seng Chua (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 001; Tat-Seng Chua (CoRR, 2024)

Cooperative SQL Generation for Segmented Databases By Using Multi-functional LLM Agents. - Zhiguang Wu; Fengbin Zhu; Xuequn Shang 001; Yupei Zhang; Pan Zhou (CoRR, 2024)

CrAM: Credibility-Aware Attention Modification in LLMs for Combating Misinformation in RAG. - Boyi Deng; Wenjie Wang 007; Fengbin Zhu; Qifan Wang 001; Fuli Feng (AAAI, 2025)

Unified Category and Style Generalization for Instance-Level Sketch Retrieval. - Zechao Hu 003; Zhengwei Yang; Hao Li 093; Yixiong Zou; Fengbin Zhu; Zheng Wang 007 (SIGIR, 2025)

Long Context vs. RAG: Strategies for Processing Long Documents in LLMs. - Xinze Li; Yushi Bai; Bowen Jin; Fengbin Zhu; Liangming Pan; Yixin Cao 002 (SIGIR, 2025)

FinIR: The 2nd Workshop on Financial Information Retrieval in the Era of Generative AI. - Fengbin Zhu; Yunshan Ma; Fuli Feng; Chao Wang 049; Huanbo Luan; Guangnan Ye; Shuo Zhang 006; Dhagash Mehta; Pingping Chen; Bing Xiang; Tat-Seng Chua (SIGIR, 2025)

Large Language Models Empowered Personalized Web Agents. - Hongru Cai; Yongqi Li 001; Wenjie Wang 007; Fengbin Zhu; Xiaoyu Shen 001; Wenjie Li 002; Tat-Seng Chua (WWW, 2025)

Leveraging Memory Retrieval to Enhance LLM-based Generative Recommendation. - Chengbing Wang; Yang Zhang 072; Fengbin Zhu; Jizhi Zhang; Tianhao Shi; Fuli Feng (WWW (Companion Volume), 2025)

Reason4Rec: Large Language Models for Recommendation with Deliberative User Preference Alignment. - Yi Fang 008; Wenjie Wang 007; Yang Zhang 072; Fengbin Zhu; Qifan Wang 001; Fuli Feng; Xiangnan He 001 (CoRR, 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, 2025)

FinTMMBench: Benchmarking Temporal-Aware Multi-Modal RAG in Finance. - Fengbin Zhu; Junfeng Li; Liangming Pan; Wenjie Wang 007; Fuli Feng; Chao Wang 049; Huanbo Luan; Tat-Seng Chua (CoRR, 2025)

DRC: Enhancing Personalized Image Generation via Disentangled Representation Composition. - Yiyan Xu; Wuqiang Zheng; Wenjie Wang 007; Fengbin Zhu; Xinting Hu; Yang Zhang 072; Fuli Feng; Tat-Seng Chua (CoRR, 2025)

IGD: Token Decisiveness Modeling via Information Gain in LLMs for Personalized Recommendation. - Zijie Lin; Yang Zhang 072; Xiaoyan Zhao 005; Fengbin Zhu; Fuli Feng; Tat-Seng Chua (CoRR, 2025)

Heterogeneous User Modeling for LLM-based Recommendation. - Honghui Bao; Wenjie Wang 007; Xilin Chen 001; Fengbin Zhu; Teng Sun; Fuli Feng; Tat-Seng Chua (CoRR, 2025)

Latent Inter-User Difference Modeling for LLM Personalization. - Yilun Qiu; Tianhao Shi; Xiaoyan Zhao 005; Fengbin Zhu; Yang Zhang 072; Fuli Feng (CoRR, 2025)

VideoQA in the Era of LLMs: An Empirical Study. - Junbin Xiao; Nanxin Huang; Hangyu Qin; Dongyang Li; Yicong Li 004; Fengbin Zhu; Zhulin Tao; Jianxing Yu; Liang Lin; Tat-Seng Chua; Angela Yao (Int. J. Comput. Vis., 2025)