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Tat-Seng Chua
Person information
- affiliation: National University of Singapore, Department of Computer Science, Singapore
- affiliation (PhD 1983): University of Leeds, UK
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2020 – today
- 2026
[j236]Yu Shang
, Zhuohang Li
, Yiding Ma, Weikang Su, Xin Jin
, Ziyou Wang, Lei Jin, Xin Zhang, Yinzhou Tang, Haisheng Su
, Chen Gao, Wei Wu, Xihui Liu
, Dhruv Shah, Zhaoxiang Zhang, Zhibo Chen
, Jun Zhu, Yonghong Tian, Tat-Seng Chua, Xin Wang, Wenwu Zhu, Yong Li
:
WorldArena: A unified benchmark for evaluating perception and functional utility of embodied world models. AI Open 7: 208-226 (2026)
[j235]Yiwei Ma, Ke Ye, Weihuang Lin, Jiayi Ji, Xiaoshuai Sun
, Tat-Seng Chua, Rongrong Ji:
An Extensive Benchmark for Single-Round and Multi-Round Instruction-Based Image Editing. Int. J. Comput. Vis. 134(5): 240 (2026)
[j234]Kangkang Lu, Yanhua Yu, Ruopei Guo, Nan Cheng, Zhiyong Huang
, Yunshan Ma
, Meiyu Liang, Yuling Wang, Xiting Qin, Yimeng Ren, Tat-Seng Chua:
Addressing graph heterogeneity and heterophily from a spectral perspective. Neurocomputing 683: 133500 (2026)
[j233]Juncheng Li
, Minghe Gao
, Xiangnan He
, Siliang Tang
, Wei-Shi Zheng
, Jun Xiao
, Meng Wang
, Tat-Seng Chua
, Yueting Zhuang
:
Momentor++: Advancing Video Large Language Models With Fine-Grained Long Video Reasoning. IEEE Trans. Pattern Anal. Mach. Intell. 48(6): 6208-6224 (2026)
[j232]Lei-Lei Li, Jianwu Fang
, Junbin Xiao, Hongkai Yu
, Chen Lv
, Jianru Xue
, Zhengguo Li
, Tat-Seng Chua
:
ADVersa: Abductive Driving Accident Video Understanding. IEEE Trans. Pattern Anal. Mach. Intell. 48(6): 6980-6998 (2026)
[j231]Xiaohao Liu
, Xiaobo Xia
, See-Kiong Ng
, Tat-Seng Chua
:
Principled Multimodal Representation Learning. IEEE Trans. Pattern Anal. Mach. Intell. 48(8): 9114-9128 (2026)
[j230]Jisheng Dang
, Xudong Wu, Haowen Yan
, Huicheng Zheng
, Wei-Shi Zheng
, Jianhuang Lai
, Bin Hu
, Tat-Seng Chua
:
Decoupled Seg Tokens Make Stronger Reasoning Video Segmenter and Grounder. IEEE Trans. Pattern Anal. Mach. Intell. 48(10): 11822-11837 (2026)
[j229]Jisheng Dang, Quan Wan, Dewei Liu, Ziyue Wang, Bimei Wang, Pei Liu, Hong Peng, Bin Hu
, Tat-Seng Chua:
HM-RAG: Long video reasoning and anomaly detection via hierarchical multi-agent retrieval-augmented generation. Pattern Recognit. 179: 113622 (2026)
[j228]Jisheng Dang
, Huicheng Zheng
, Zhixuan Chen, Zhang Li
, Yulan Guo
, Tat-Seng Chua:
Fast Track Anything With Sparse Spatio-Temporal Propagation for Unified Video Segmentation. IEEE Trans. Image Process. 35: 955-969 (2026)
[j227]Jisheng Dang
, Huicheng Zheng
, Yulan Guo
, Jianhuang Lai
, Bin Hu
, Tat-Seng Chua:
Video Decoupling Networks for Accurate, Efficient, Generalizable, and Robust Video Object Segmentation. IEEE Trans. Image Process. 35: 1218-1230 (2026)
[j226]Hongzhan Lin
, Wei Gao
, Jing Ma
, Yang Deng
, Ziyang Luo, Bo Wang, Ruichao Yang, Tat-Seng Chua
:
ExplainHM++: Explainable Harmful Meme Detection With Retrieval-Augmented Debate Between Large Multimodal Models. IEEE Trans. Knowl. Data Eng. 38(2): 1040-1053 (2026)
[j225]Haokai Ma
, Yunshan Ma, Ruobing Xie
, Lei Meng
, Jialie Shen, Xingwu Sun, Zhanhui Kang, Tat-Seng Chua
:
Large Language Model Empowered Recommendation Meets All-Domain Continual Pre-Training. IEEE Trans. Knowl. Data Eng. 38(10): 6774-6788 (2026)
[j224]Sheng Zhou
, Junbin Xiao
, Xun Yang
, Peipei Song
, Dan Guo
, Angela Yao
, Meng Wang
, Tat-Seng Chua
:
Scene-Text Grounding for Text-Based Video Question Answering. IEEE Trans. Multim. 28: 1417-1430 (2026)
[j223]Bin Wu
, Long Chen
, Yuheng Fu
, Yunshan Ma
, Mingliang Xu
, Tat-Seng Chua
:
Multi-Way Cascade-Attention Network for Multi-Modal Sequential Recommendation. IEEE Trans. Multim. 28: 5241-5253 (2026)
[j222]Chen Huang
, Xinwei Yang
, Yang Deng
, Wenqiang Lei
, Jiancheng Lv
, Tat-Seng Chua
:
Co-Matching: Towards Human-Model Collaborative Legal Case Matching. ACM Trans. Inf. Syst. 44(6): 131:1-131:33 (2026)
[j221]Han Yi
, Zhedong Zheng
, Xiangyu Xu
, Tat-Seng Chua
:
Progressive Text-to-3D Generation for Automatic 3D Prototyping. ACM Trans. Multim. Comput. Commun. Appl. 22(4): 107:1-107:19 (2026)
[c691]Yipeng Zhang, Yifan Liu, Zonghao Guo, Yidan Zhang, Xuesong Yang, Xiaoying Zhang, Chi Chen, Jun Song, Yuan Yao, Tat-Seng Chua, Maosong Sun:
LLaVA-UHD v2: Exploiting Hierarchical Vision Granularity in MLLMs via Inverse Semantic Pyramid. AAAI 2026: 12934-12942
[c690]Yuchen Zhou, Jiayu Tang, Shuo Yang, Xiaoyan Xiao, Yuqin Dai, Wenhao Yang, Chao Gou, Xiaobo Xia, Tat-Seng Chua:
Logic Unseen: Revealing the Logical Blindspots of Vision-Language Models. AAAI 2026: 29062-29070
[c689]Zhenglin Zhou, Fan Ma, Chengzhuo Gui, Xiaobo Xia, Hehe Fan, Yi Yang, Tat-Seng Chua:
AnchorFlow: Training-Free 3D Editing via Latent Anchor-Aligned Flows. CVPR 2026: 14387-14397
[c688]Chuancheng Shi, Shangze Li, Shiming Guo, Simiao Xie, Wenhua Wu, Jingtong Dou, Chao Wu, Canran Xiao, Cong Wang, Zifeng Cheng, Fei Shen, Tat-Seng Chua:
Where Culture Fades: Revealing the Cultural Gap in Text-to-Image Generation. CVPR 2026: 14702-14712
[c687]Wei Chow, Jiachun Pan, Yongyuan Liang, Mingze Zhou, Xue Song, Liyu Jia, Saining Zhang, Siliang Tang, Juncheng Li, Fengda Zhang, Weijia Wu, Hanwang Zhang, Tat-Seng Chua:
WEAVE: Unleashing and Benchmarking the In-context Interleaved Comprehension and Generation. CVPR 2026: 15343-15353
[c686]Shengqiong Wu, Lanhu Wu, Mingyang Bao, Wenhao Xu, Hanwang Zhang, Shuicheng Yan, Hao Fei, Tat-Seng Chua:
Modeling Cross-vision Synergy for Unified Large Vision Model. CVPR 2026: 22941-22952
[c685]Tianyu Yang, ChenWei He, Xiangzhao Hao, Tianyue Wang, Jiarui Guo, Haiyun Guo, Leigang Qu, Jinqiao Wang, Tat-Seng Chua:
ReCALL: Recalibrating Capability Degradation for MLLM-based Composed Image Retrieval. CVPR 2026: 38763-38773
[c684]Jisheng Dang
, Jingze Wu
, Teng Wang
, Xuanhui Lin
, Nannan Zhu
, Hongbo Chen
, Wei-Shi Zheng
, Meng Wang
, Tat-Seng Chua
:
Reinforcing Video Reasoning with Focused Thinking. ECCV (44) 2026: 623-640
[c683]Kelvin J. L. Koa, Jan Chen, Yunshan Ma, Huanhuan Zheng, Tat-Seng Chua:
Reasoning on Time-Series for Financial Technical Analysis. ICLR 2026
[c682]Kai Liu, Wei Li, Lai Chen, Shengqiong Wu, Yanhao Zheng, Jiayi Ji, Fan Zhou, Jiebo Luo, Ziwei Liu, Hao (Scofield) Fei, Tat-Seng Chua:
JavisDiT: Joint Audio-Video Diffusion Transformer with Hierarchical Spatio-Temporal Prior Synchronization. ICLR 2026
[c681]Jiahong Liu, Wenhao Yu, Quanyu Dai, Zhongyang Li, Jieming Zhu, Menglin Yang, Tat-Seng Chua, Irwin King:
PerFit: Exploring Personalization Shifts in Representation Space of LLMs. ICLR 2026
[c680]Kai Liu, Yanhao Zheng, Kai Wang, Shengqiong Wu, Rongjunchen Zhang, Jiebo Luo, Dimitrios Hatzinakos, Ziwei Liu, Hao (Scofield) Fei, Tat-Seng Chua:
JavisDiT++: Unified Modeling and Optimization for Joint Audio-Video Generation. ICLR 2026
[c679]Run Luo, Xiaobo Xia, Lu Wang, Longze Chen, Renke Shan, Jing Luo, Min Yang, Tat-Seng Chua:
NExT-OMNI: Towards Any-to-Any Omnimodal Foundation Models with Discrete Flow Matching. ICLR 2026
[c678]Jiayi Lyu, Leigang Qu, Wenjing Zhang, Hanyu Jiang, Kai Liu, Zhenglin Zhou, Xiaobo Xia, Jian Xue, Tat-Seng Chua:
AUHead: Realistic Emotional Talking Head Generation via Action Units Control. ICLR 2026
[c677]Leigang Qu, Feng Cheng, Ziyan Yang, Qi Zhao, Shanchuan Lin, Yichun Shi, Yicong Li, Wenjie Wang, Tat-Seng Chua, Lu Jiang:
VINCIE: Unlocking In-context Image Editing from Video. ICLR 2026
[c676]Leigang Qu, Ziyang Wang, Na Zheng, Wenjie Wang, Liqiang Nie, Tat-Seng Chua:
TTOM: Test-Time Optimization and Memorization for Compositional Video Generation. ICLR 2026
[c675]Leheng Sheng, Changshuo Shen, Weixiang Zhao, Junfeng Fang, Xiaohao Liu, Zhenkai Liang, Xiang Wang, An Zhang, Tat-Seng Chua:
AlphaSteer: Learning Refusal Steering with Principled Null-Space Constraint. ICLR 2026
[c674]Teng Tu, Ai Li, Yunshan Ma, Shuo Xu, Xiaohao Liu, Haokai Ma, Liang Pang, Tat-Seng Chua:
Discrete Diffusion for Bundle Construction. ICLR 2026
[c673]Siyin Wang, Jinlan Fu, Feihong Liu, Xinzhe He, Huangxuan Wu, Junhao Shi, Kexin Huang, Zhaoye Fei, Jingjing Gong, Zuxuan Wu, Yugang Jiang, See-Kiong Ng, Tat-Seng Chua, Xipeng Qiu:
RoboOmni: Proactive Robot Manipulation in Omni-modal Context. ICLR 2026
[c672]Chengbing Wang, Yang Zhang, Wenjie Wang, Xiaoyan Zhao, Fuli Feng, Xiangnan He, Tat-Seng Chua:
Think-While-Generating: On-the-Fly Reasoning for Personalized Long-Form Generation. ICLR 2026
[c671]Shengqiong Wu, Bobo Li, Xinkai Wang, Xiangtai Li, Lei Cui, Furu Wei, Shuicheng Yan, Hao (Scofield) Fei, Tat-Seng Chua:
Synergizing Understanding and Generation with Interleaved Analyzing-Drafting Thinking. ICLR 2026
[c670]Yang Zhang, Wenxin Xu, Xiaoyan Zhao, Wenjie Wang, Fuli Feng, Xiangnan He, Tat-Seng Chua:
Reinforced Latent Reasoning for LLM-based Recommendation. ICLR 2026
[c669]Xiaoyan Zhao, Juntao Jun, Yang Zhang, Wenjie Wang, Hong Cheng, Fuli Feng, See-Kiong Ng, Tat-Seng Chua:
NextQuill: Causal Preference Modeling for Enhancing LLM Personalization. ICLR 2026
[c668]Yingzhi He
, Yan Sun
, Junfei Tan
, Yuxin Chen
, Xiaoyu Kong
, Chunxu Shen
, Xiang Wang
, An Zhang
, Tat-Seng Chua
:
Reasoning over Semantic IDs Enhances Generative Recommendation. KDD (2) 2026: 1638-1649
[c667]Chaoqun Yang
, Xinyu Lin
, Shulin Li
, Wenjie Wang
, Ruihan Guo
, Fuli Feng
, Tat-Seng Chua
:
Can Large Language Models Derive New Knowledge? A Dynamic Benchmark for Biological Knowledge Discovery. KDD (2) 2026: 10174-10185
[c666]Jiawei Wang
, Ming Lei
, Yaning Yang
, Xinyan Lin
, Yuquan Le
, Qiwei Ma
, Zhiwei Xu
, Zheqi Lv
, Yuchen Ang
, Zhe Quan
, Tat-Seng Chua
:
DeepTaxon: An Interpretable Retrieval-Augmented Multimodal Framework for Unified Species Identification and Discovery. KDD (2) 2026: 12231-12242
[c665]Fengbin Zhu
, Zijing Cai
, Yuzhe Wang
, Pengyang Shao
, Wenjie Wang
, Fuli Feng
, Richang Hong
, Tat-Seng Chua
:
MURE: Hierarchical Multi-Resolution Encoding via Vision-Language Models for Visual Document Retrieval. ICMR 2026: 69-78
[c664]Zhe Jin
, Tat-Seng Chua
:
CompArt: Operationalizing Aesthetic Alignment in Text-to-Image Generation via Principles of Art. ICMR 2026: 2200-2209
[c663]Fengbin Zhu
, Ziyang Liu
, Xiang Yao Ng
, Haohui Wu
, Wenjie Wang
, Fuli Feng
, Chao Wang
, Huanbo Luan
, Tat-Seng Chua
:
MMDocBench: Benchmarking Large Vision-Language Models for Fine-Grained Visual Document Understanding and Grounding. MMM (1) 2026: 74-88
[c662]Teng Tu, Xiaohao Liu, Yunshan Ma
, Ji Qi, Tat-Seng Chua:
Integrating Symbolic and Waveform Music Into Large Language Models. MMM (2) 2026: 89-103
[c661]Xinyu Lin
, Hanqing Zeng
, Hanchao Yu
, Yinglong Xia
, Jiang Zhang
, Aashu Singh
, Fei Liu
, Wenjie Wang
, Fuli Feng
, Tat-Seng Chua
, Qifan Wang
:
Verifiable Reasoning for LLM-based Generative Recommendation. SIGIR 2026: 1118-1129
[c660]Wenxuan Liu
, Zixuan Li
, Long Bai
, Chunmao Zhang
, Fenghui Zhang
, Zhuo Chen
, Wei Li
, Yuxin Zuo
, Fei Wang
, Bingbing Xu
, Xuhui Jiang
, Jin Zhang
, Xiaolong Jin
, Jiafeng Guo
, Tat-Seng Chua
, Xueqi Cheng
:
Towards Knowledgeable Deep Research: Framework and Benchmark. SIGIR 2026: 1163-1174
[c659]Haoxuan Li
, He Chang
, Yunshan Ma
, Yi Bin
, Yang Yang
, See-Kiong Ng
, Tat-Seng Chua
:
ThinkTank-ME: A Multi-Expert Framework for Middle East Event Forecasting. WWW 2026: 8541-8544
[c658]Xinyu Lin
, Pengyuan Liu
, Wenjie Wang
, Yicheng Hu
, Chen Xu
, Fuli Feng
, Qifan Wang
, Tat-Seng Chua
:
Bringing Reasoning to Generative Recommendation Through the Lens of Cascaded Ranking. WWW 2026: 8939-8949
[i497]Weijian Ma, Shizhao Sun, Tianyu Yu, Ruiyu Wang, Tat-Seng Chua, Jiang Bian:
Thinking with Blueprints: Assisting Vision-Language Models in Spatial Reasoning via Structured Object Representation. CoRR abs/2601.01984 (2026)
[i496]Hongzhan Lin, Zixin Chen, Zhiqi Shen, Ziyang Luo, Zhen Ye, Jing Ma, Tat-Seng Chua, Guandong Xu:
Towards Comprehensive Stage-wise Benchmarking of Large Language Models in Fact-Checking. CoRR abs/2601.02669 (2026)
[i495]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:
FinDeepForecast: A Live Multi-Agent System for Benchmarking Deep Research Agents in Financial Forecasting. CoRR abs/2601.05039 (2026)
[i494]Nuoyan Lyu, Bingbing Xu, Weihao Meng, Yige Yuan, Yang Zhang, Zhiyong Huang, Tat-Seng Chua, Huawei Shen:
GIFT: Games as Informal Training for Generalizable LLMs. CoRR abs/2601.05633 (2026)
[i493]Jiatang Luo, Bingbing Xu, Rongxin Chen, Xiaoyan Zhao, Yang Zhang
, Liang Pang, Zhiyong Huang, Tat-Seng Chua, Huawei Shen:
ACE-Align: Attribute Causal Effect Alignment for Cultural Values under Varying Persona Granularities. CoRR abs/2601.12962 (2026)
[i492]Yuxin Chen, Zhengzhou Cai, Xiangtian Ji, Weixiang Zhao, An Zhang, Xiang Wang, Tat-Seng Chua:
Understanding Multilingualism in Mixture-of-Experts LLMs: Routing Mechanism, Expert Specialization, and Layerwise Steering. CoRR abs/2601.14050 (2026)
[i491]Haoxuan Li, He Chang, Yunshan Ma, Yi Bin, Yang Yang, See-Kiong Ng, Tat-Seng Chua:
ThinkTank-ME: A Multi-Expert Framework for Middle East Event Forecasting. CoRR abs/2601.17065 (2026)
[i490]Zhiqiang Kou, Junyang Chen, Xin-Qiang Cai, Xiaobo Xia, Ming-Kun Xie, Dong-Dong Wu, Biao Liu, Yuheng Jia, Xin Geng, Masashi Sugiyama, Tat-Seng Chua:
Positive-Unlabeled Reinforcement Learning Distillation for On-Premise Small Models. CoRR abs/2601.20687 (2026)
[i489]Chuancheng Shi, Shangze Li, Wenjun Lu, Wenhua Wu, Cong Wang, Zifeng Cheng, Fei Shen
, Tat-Seng Chua:
TraceRouter: Robust Safety for Large Foundation Models via Path-Level Intervention. CoRR abs/2601.21900 (2026)
[i488]Jingtong Dou, Chuancheng Shi, Yemin Wang, Shiming Guo, Anqi Yi, Wenhua Wu, Li Zhang, Fei Shen
, Tat-Seng Chua:
DNA: Uncovering Universal Latent Forgery Knowledge. CoRR abs/2601.22515 (2026)
[i487]Enyi Shi, Pengyang Shao, Yanxin Zhang, Chenhang Cui, Jiayi Lyu, Xu Xie, Xiaobo Xia, Fei Shen
, Tat-Seng Chua:
Lingua-SafetyBench: A Benchmark for Safety Evaluation of Multilingual Vision-Language Models. CoRR abs/2601.22737 (2026)
[i486]Jingnan Zheng, Jingjun Xu, Yanzhen Luo, Chenhang Cui, Gelei Deng, Zhenkai Liang, Xiang Wang, An Zhang, Tat-Seng Chua:
Self-Guard: Defending Large Reasoning Models via enhanced self-reflection. CoRR abs/2602.00707 (2026)
[i485]Xianhui Zhang, Chengyu Xie, Linxia Zhu, Yonghui Yang, Weixiang Zhao, Zifeng Cheng, Cong Wang, Fei Shen
, Tat-Seng Chua:
Who Transfers Safety? Identifying and Targeting Cross-Lingual Shared Safety Neurons. CoRR abs/2602.01283 (2026)
[i484]Tianyu Yang, ChenWei He, Xiangzhao Hao, Tianyue Wang, Jiarui Guo, Haiyun Guo, Leigang Qu, Jinqiao Wang, Tat-Seng Chua:
ReCALL: Recalibrating Capability Degradation for MLLM-based Composed Image Retrieval. CoRR abs/2602.01639 (2026)
[i483]Jingnan Zheng, Yanzhen Luo, Jingjun Xu, Bingnan Liu, Yuxin Chen, Chenhang Cui, Gelei Deng, Chaochao Lu, Xiang Wang, An Zhang, Tat-Seng Chua:
Risky-Bench: Probing Agentic Safety Risks under Real-World Deployment. CoRR abs/2602.03100 (2026)
[i482]Xinyu Lin, Pengyuan Liu, Wenjie Wang
, Yicheng Hu, Chen Xu, Fuli Feng, Qifan Wang, Tat-Seng Chua:
Bringing Reasoning to Generative Recommendation Through the Lens of Cascaded Ranking. CoRR abs/2602.03692 (2026)
[i481]Zhexin Zhang, Yida Lu, Junfeng Fang, Junxiao Yang
, Shiyao Cui, Hao Zhou, Fandong Meng, Jie Zhou, Hongning Wang, Minlie Huang, Tat-Seng Chua:
The Missing Half: Unveiling Training-time Implicit Safety Risks Beyond Deployment. CoRR abs/2602.04196 (2026)
[i480]Lin Wang, Yang Zhang
, Jingfan Chen, Xiaoyan Zhao, Fengbin Zhu, Qing Li, Tat-Seng Chua:
MiniRec: Data-Efficient Reinforcement Learning for LLM-based Recommendation. CoRR abs/2602.04278 (2026)
[i479]Chenhang Cui, Binyun Yang, Fei Shen, Yuxin Chen, Jingnan Zheng, Xiang Wang, An Zhang, Tat-Seng Chua:
Transport and Merge: Cross-Architecture Merging for Large Language Models. CoRR abs/2602.05495 (2026)
[i478]Yonghui Yang, Wenjian Tao, Jilong Liu, Xingyu Zhu, Junfeng Fang, Weibiao Huang, Le Wu, Richang Hong, Tat-Seng Chua:
Revisiting Robustness for LLM Safety Alignment via Selective Geometry Control. CoRR abs/2602.07340 (2026)
[i477]Yonghui Yang, Junwei Li, Jilong Liu, Yicheng He, Fengbin Zhu, Weibiao Huang, Le Wu, Richang Hong, Tat-Seng Chua:
Controllable Value Alignment in Large Language Models through Neuron-Level Editing. CoRR abs/2602.07356 (2026)
[i476]Yuxin Chen, Yu Wang, Yi Zhang, Ziang Ye, Zhengzhou Cai, Yaorui Shi
, Qi Gu, Hui Su, Xunliang Cai, Xiang Wang, An Zhang, Tat-Seng Chua:
Learning to Self-Verify Makes Language Models Better Reasoners. CoRR abs/2602.07594 (2026)
[i475]Yu Shang, Zhuohang Li, Yiding Ma, Weikang Su, Xin Jin, Ziyou Wang, Lei Jin, Xin Zhang, Yinzhou Tang, Haisheng Su, Chen Gao, Wei Wu, Xihui Liu, Dhruv Shah, Zhaoxiang Zhang, Zhibo Chen, Jun Zhu, Yonghong Tian, Tat-Seng Chua, Wenwu Zhu, Yong Li:
WorldArena: A Unified Benchmark for Evaluating Perception and Functional Utility of Embodied World Models. CoRR abs/2602.08971 (2026)
[i474]Jiayi Lyu, Leigang Qu, Wenjing Zhang, Hanyu Jiang, Kai Liu, Zhenglin Zhou, Xiaobo Xia, Jian Xue, Tat-Seng Chua:
AUHead: Realistic Emotional Talking Head Generation via Action Units Control. CoRR abs/2602.09534 (2026)
[i473]Leheng Sheng, Yongtao Zhang, Wenchang Ma, Yaorui Shi
, Ting Huang, Xiang Wang, An Zhang, Ke Shen, Tat-Seng Chua:
When to Memorize and When to Stop: Gated Recurrent Memory for Long-Context Reasoning. CoRR abs/2602.10560 (2026)
[i472]Leheng Sheng, Wenchang Ma, Ruixin Hong, Xiang Wang, An Zhang, Tat-Seng Chua:
Reinforcing Chain-of-Thought Reasoning with Self-Evolving Rubrics. CoRR abs/2602.10885 (2026)
[i471]Jinghan He, Junfeng Fang, Feng Xiong, Zijun Yao, Fei Shen, Haiyun Guo, Jinqiao Wang, Tat-Seng Chua:
Active Zero: Self-Evolving Vision-Language Models through Active Environment Exploration. CoRR abs/2602.11241 (2026)
[i470]Ruipeng Wang, Yuxin Chen, Yukai Wang, Chang Wu, Junfeng Fang, Xiaodong Cai, Qi Gu, Hui Su, An Zhang, Xiang Wang, Xunliang Cai, Tat-Seng Chua:
AgentNoiseBench: Benchmarking Robustness of Tool-Using LLM Agents Under Noisy Condition. CoRR abs/2602.11348 (2026)
[i469]Zhaoxin Wang, Jiaming Liang, Fengbin Zhu, Weixiang Zhao, Junfeng Fang, Jiayi Ji, Handing Wang, Tat-Seng Chua:
SafeNeuron: Neuron-Level Safety Alignment for Large Language Models. CoRR abs/2602.12158 (2026)
[i468]Kaiming Jin, Yuefan Wu, Shengqiong Wu, Bobo Li, Shuicheng Yan, Tat-Seng Chua:
Global Commander and Local Operative: A Dual-Agent Framework for Scene Navigation. CoRR abs/2602.18941 (2026)
[i467]Chenhang Cui, An Zhang, Yuxin Chen, Gelei Deng, Jingnan Zheng, Zhenkai Liang, Xiang Wang, Tat-Seng Chua:
Do LLMs and VLMs Share Neurons for Inference? Evidence and Mechanisms of Cross-Modal Transfer. CoRR abs/2602.19058 (2026)
[i466]Kai Liu, Yanhao Zheng, Kai Wang, Shengqiong Wu, Rongjunchen Zhang, Jiebo Luo, Dimitrios Hatzinakos, Ziwei Liu, Hao Fei, Tat-Seng Chua:
JavisDiT++: Unified Modeling and Optimization for Joint Audio-Video Generation. CoRR abs/2602.19163 (2026)
[i465]Shengqiong Wu, Bobo Li, Xinkai Wang, Xiangtai Li, Lei Cui, Furu Wei, Shuicheng Yan, Hao Fei, Tat-Seng Chua:
Synergizing Understanding and Generation with Interleaved Analyzing-Drafting Thinking. CoRR abs/2602.21435 (2026)
[i464]Xiaohao Liu, Xiaobo Xia, Manyi Zhang, Ji-Fu Li, Xianzhi Yu, Fei Shen, Xiu Su, See-Kiong Ng, Tat-Seng Chua:
FreeAct: Freeing Activations for LLM Quantization. CoRR abs/2603.01776 (2026)
[i463]Junfeng Fang, Nachuan Chen, Houcheng Jiang, Dan Zhang, Fei Shen, Xiang Wang, Xiangnan He, Tat-Seng Chua:
NExT-Guard: Training-Free Streaming Safeguard without Token-Level Labels. CoRR abs/2603.02219 (2026)
[i462]Chaoqun Yang, Xinyu Lin, Shulin Li, Wenjie Wang
, Ruihan Guo, Fuli Feng, Tat-Seng Chua:
Can Large Language Models Derive New Knowledge? A Dynamic Benchmark for Biological Knowledge Discovery. CoRR abs/2603.03322 (2026)
[i461]Shengqiong Wu, Lanhu Wu, Mingyang Bao, Wenhao Xu, Hanwang Zhang, Shuicheng Yan, Hao Fei, Tat-Seng Chua:
Modeling Cross-vision Synergy for Unified Large Vision Model. CoRR abs/2603.03564 (2026)
[i460]Xinyu Lin, Hanqing Zeng, Hanchao Yu, Yinglong Xia, Jiang Zhang, Aashu Singh, Fei Liu, Wenjie Wang
, Fuli Feng, Tat-Seng Chua, Qifan Wang:
Verifiable Reasoning for LLM-based Generative Recommendation. CoRR abs/2603.07725 (2026)
[i459]Fengbin Zhu, Zijing Cai, Yuzhe Wang, Pengyang Shao, Wenjie Wang
, Fuli Feng, Richang Hong, Tat-Seng Chua:
MURE: Hierarchical Multi-Resolution Encoding via Vision-Language Models for Visual Document Retrieval. CoRR abs/2603.13349 (2026)
[i458]Zeyu Zhang, Rui Li, Xiaoyan Zhao, Yang Zhang
, Wenjie Wang
, Xu Chen, Tat-Seng Chua:
NextMem: Towards Latent Factual Memory for LLM-based Agents. CoRR abs/2603.15634 (2026)
[i457]Yingzhi He, Yan Sun, Junfei Tan, Yuxin Chen, Xiaoyu Kong, Chunxu Shen, Xiang Wang, An Zhang, Tat-Seng Chua:
Reasoning over Semantic IDs Enhances Generative Recommendation. CoRR abs/2603.23183 (2026)
[i456]Gengsheng Li, Tianyu Yang, Junfeng Fang, Mingyang Song, Mao Zheng, Haiyun Guo, Dan Zhang, Jinqiao Wang, Tat-Seng Chua:
Unifying Group-Relative and Self-Distillation Policy Optimization via Sample Routing. CoRR abs/2604.02288 (2026)
[i455]Lin Wang, Junfeng Fang, Dan Zhang, Fei Shen, Xiang Wang, Tat-Seng Chua:
DRAFT: Task Decoupled Latent Reasoning for Agent Safety. CoRR abs/2604.03242 (2026)
[i454]Wenhao Yang, Yu Xia, Jinlong Huang, Shiyin Lu, Qing-Guo Chen, Zhao Xu, Weihua Luo, Kaifu Zhang, Yuchen Zhou, Xiaobo Xia, Yuanyu Wan, Lijun Zhang, Tat-Seng Chua:
Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization. CoRR abs/2604.06777 (2026)
[i453]Wenxuan Liu, Zixuan Li, Long Bai, Chunmao Zhang, Fenghui Zhang, Zhuo Chen, Wei Li, Yuxin Zuo, Fei Wang, Bingbing Xu, Xuhui Jiang, Jin Zhang, Xiaolong Jin, Jiafeng Guo, Tat-Seng Chua, Xueqi Cheng:
Towards Knowledgeable Deep Research: Framework and Benchmark. CoRR abs/2604.07720 (2026)
[i452]Jingtong Dou, Chuancheng Shi, Jian Wang, Fei Shen
, Zhiyong Wang, Tat-Seng Chua:
Beyond Surface Artifacts: Capturing Shared Latent Forgery Knowledge Across Modalities. CoRR abs/2604.07763 (2026)
[i451]Shaotian Li, Shangze Li, Chuancheng Shi, Wenhua Wu, Yanqiu Wu, Xiaohan Yu, Fei Shen
, Tat-Seng Chua:
Latent Anomaly Knowledge Excavation: Unveiling Sparse Sensitive Neurons in Vision-Language Models. CoRR abs/2604.07802 (2026)
[i450]Haokai Ma, Lee Yan Zhen, Gang Yang, Yunshan Ma, Ee-Chien Chang, Tat-Seng Chua:
Less Approximates More: Harmonizing Performance and Confidence Faithfulness via Hybrid Post-Training for High-Stakes Tasks. CoRR abs/2604.08454 (2026)
[i449]Enyi Shi, Fei Shen, Shuyi Miao, Linxia Zhu, Pengyang Shao, Jinhui Tang, Tat-Seng Chua:
Precise Shield: Explaining and Aligning VLLM Safety via Neuron-Level Guidance. CoRR abs/2604.08881 (2026)
[i448]Shuyi Miao, Wangjie Qiu, Shengda Zhuo, Fei Shen, Dan Lin, Xingtong Yu, Tat-Seng Chua, Zhiming Zheng:
UniDetect: LLM-Driven Universal Fraud Detection across Heterogeneous Blockchains. CoRR abs/2604.12329 (2026)
[i447]Jiawei Wang, Ming Lei, Yaning Yang, Xinyan Lin, Yuquan Le, Qiwei Ma, Zhiwei Xu, Zheqi Lv, Yuchen Ang, Zhe Quan, Tat-Seng Chua:
DeepTaxon: An Interpretable Retrieval-Augmented Multimodal Framework for Unified Species Identification and Discovery. CoRR abs/2604.24029 (2026)
[i446]Hao Ye, Jisheng Dang, Junfeng Fang, Bimei Wang, Yizhou Zhang, Ning Lv, Wencan Zhang, Hong Peng, Bin Hu, Tat-Seng Chua:
On the Implicit Reward Overfitting and the Low-rank Dynamics in RLVR. CoRR abs/2605.06523 (2026)
[i445]Junfeng Fang, Zhepei Hong, Mao Zheng, Mingyang Song, Gengsheng Li, Houcheng Jiang, Dan Zhang, Haiyun Guo, Xiang Wang, Tat-Seng Chua:
Rubric-based On-policy Distillation. CoRR abs/2605.07396 (2026)
[i444]Yu Shang, Yinzhou Tang, Yiding Ma, Zhuohang Li, Lei Jin, Weikang Su, Xin Jin, Zhaolu Wang, Ziyou Wang, Xin Zhang, Haisheng Su, Weizhen He, Wei Wu, Haoyi Duan, Gordon Wetzstein, Xihui Liu, Dhruv Shah, Zhaoxiang Zhang, Zhibo Chen, Jun Zhu, Yonghong Tian, Tat-Seng Chua, Wenwu Zhu, Chen Gao, Yong Li:
WorldArena 2.0: Extending Embodied World Model Benchmarking on Modality, Functionality and Platform. CoRR abs/2605.17912 (2026)
[i443]Lingdong Kong, Xian Sun, Wei Chow, Linfeng Li, Kevin Qinghong Lin, Xuan Billy Zhang, Song Wang, Rong Li, Qing Wu, Wei Gao, Yingshuo Wang, Shaoyuan Xie, Jiachen Liu, Leigang Qu, Shijie Li, Lai Xing Ng, Benoit R. Cottereau, Ziwei Liu, Tat-Seng Chua, Wei Tsang Ooi:
AI for Auto-Research: Roadmap & User Guide. CoRR abs/2605.18661 (2026)
[i442]Jiani Luo, Xiaoyan Zhao, Yang Zhang
, Shuyi Miao, Bingbing Xu, Stefan Konigorski, Tat-Seng Chua:
Know You Before You Speak: User-State Modeling for LLM Personalization in Multi-Turn Conversation. CoRR abs/2605.24647 (2026)
[i441]Xiangtian Ji, Yuxin Chen, Zhengzhou Cai, Xiang Wang, An Zhang, Tat-Seng Chua:
Tiny Brains, Giant Impact: Uncovering the Keystone Neurons of LLM with Just a Few Prompts. CoRR abs/2605.24846 (2026)
[i440]Yuxin Chen, Yi Zhang, Zhengzhou Cai, Yaorui Shi
, Zhiyuan Yao, Chenhang Cui, Jingnan Zheng, Yaqi Huo, Xi Su, Qi Gu, Xunliang Cai, Xiang Wang, An Zhang, Tat-Seng Chua:
VitaBench 2.0: Evaluating Personalized and Proactive Agents in Long-Term User Interactions. CoRR abs/2605.27141 (2026)
[i439]Yuxin Chen, Xiaodong Cai, Junfeng Fang, Zhuowen Han, Yu Wang, Yaorui Shi
, Yi Zhang, Qi Gu, Xunliang Cai, Xiang Wang, An Zhang, Tat-Seng Chua:
Learning to Act under Noise: Enhancing Agent Robustness via Noisy Environments. CoRR abs/2605.27209 (2026)
[i438]Yilun Qiu, Xiaoyan Zhao, Yang Zhang, Yuxin Chen, Cilin Yan, Jiayin Cai, Xiaolong Jiang, Yao Hu, Yoko Yamakata, Tat-Seng Chua:
Preference-Aware Rubric Learning for Personalized Evaluation. CoRR abs/2605.31545 (2026)
[i437]Xiang Fang, Wanlong Fang, Wei Ji, Tat-Seng Chua:
Turing Patterns for Multimedia: Reaction-Diffusion Multi-Modal Fusion for Language-Guided Video Moment Retrieval. CoRR abs/2606.01615 (2026)
[i436]Yihui Wang, Yonghui Yang, Jilong Liu, Fengbin Zhu, Le Wu, Tat-Seng Chua:
Suppressing Forgery-Specific Shortcuts for Generalizable Deepfake Detection. CoRR abs/2606.01843 (2026)
[i435]Shang Ma, Jisheng Dang, Wencan Zhang, Yifan Zhang, Bimei Wang, Hong Peng, Bin Hu, Qi Tian, Tat-Seng Chua:
MODF-SIR: A Multi-agent Omni-modal Distilled Framework for Social Intelligence Reasoning. CoRR abs/2606.12018 (2026)
[i434]Yujuan Ding, Junrong Liao, Yunshan Ma, Yi Bin, Wenqi Fan, Tat-Seng Chua, Qing Li:
CFALR: Collaborative Filtering-Augmented Large Language Model for Personalized Fashion Outfit Recommendation. CoRR abs/2606.13001 (2026)
[i433]Jisheng Dang, Dengyue Pan, Delin Deng, Yifan Zhang, Bimei Wang, Hong Peng, Bin Hu, Qi Tian, Tat-Seng Chua:
A Robust Point Cloud Analysis Framework Inspired By Primary Visual Cortex. CoRR abs/2606.14292 (2026)
[i432]Yiwei Ma, Ke Ye, Weihuang Lin, Jiayi Ji, Xiaoshuai Sun, Tat-Seng Chua, Rongrong Ji:
An Extensive Benchmark for Single-round and Multi-round Instruction-based Image Editing. CoRR abs/2606.15570 (2026)
[i431]Chengwen Liu, Zhe Huang, Jisheng Dang, Hong Peng, Qi Tian, Tat-Seng Chua:
Reasoning as Intersection: Consensus-Frame Alignment for Visual Focus in Video-MLLMs. CoRR abs/2606.18441 (2026)
[i430]Leyang Shen, Yang Zhang
, Xiaoyan Zhao, Chun Kai Ling, Tat-Seng Chua:
Enhancing Decision-Making with Large Language Models through Multi-Agent Fictitious Play. CoRR abs/2606.19308 (2026)
[i429]Chengwen Liu, Hao Peng, Jisheng Dang, Hong Peng, Bin Hu, Tat-Seng Chua:
CARE: Competence-Aware Reward Shaping for Adaptive Reasoning Length in Video-MLLMs. CoRR abs/2606.19927 (2026)
[i428]Juncheng Ma, Jianxin Bi, Yufan Deng, Xuanran Zhai, Kewei Zhang, Ye Huang, Bo Liang, Shukai Gong, Jiankai Tu, Xiaotian Tang, Jiaxin Li, Kaiqi Chen, Duomin Wang, Yuqi Wang, Bingyi Kang, Eric Huang, Zhiyang Dou, Zhen Dong, Enze Xie, Wojciech Matusik, Tat-Seng Chua, Daquan Zhou:
HumanScale: Egocentric Human Video Can Outperform Real-Robot Data for Embodied Pretraining. CoRR abs/2606.20521 (2026)
[i427]Wei Zhou, Xiongwei Zhu, Zelin Xu, Bo Dong, Lixue Gong, Yongyuan Liang, Meng Chu, Leigang Qu, Lingdong Kong, Wei Liu, Tat-Seng Chua:
DanceOPD: On-Policy Generative Field Distillation. CoRR abs/2606.27377 (2026)
[i426]Chih-Ting Liao, Fei Shen, Xin Cao, Tat-Seng Chua:
Decodable Is Not Grounded: A Vision-Ablation Arbiter for VLM Spatial Reasoning. CoRR abs/2606.31257 (2026)
[i425]Xinyu Lin, Yashar Deldjoo, Sunhao Dai, Honghui Bao, Xiaopeng Ye, Fatemeh Nazary, Wenjie Wang
, Tommaso Di Noia, Jun Xu, Tat-Seng Chua:
Autonomous Information Seeking: A Roadmap for Agentic Recommender Systems. CoRR abs/2607.04433 (2026)
[i424]Zeyu Zhang, Ziliang Guo, Yihang Sun, Xichong Zhang, Xixuan Hao, Zehao Lin, Yang Zhang, Xiaoyan Zhao, Tong Shen, Bo Tang, Zhi-Qin John Xu, Junchi Yan, Haofen Wang, Xu Chen, Feiyu Xiong, Zhiyu Li, Tat-Seng Chua:
Metis: Memory Foundation Model. CoRR abs/2607.26760 (2026)
[i423]Zipeng Chen, Jiaer Zheng, Xiangyang Xu, Xinyu Lin, Zhaobin Wang, Zhaohui Liu, Qianjin Xiang, Xiaoyu Zhao, Zhuozhen Yu, Guangshuo Wang, Daxing Chen, Junwei Pan, Zhangbin Zhu, Chengguo Yin, Hao Chen, Tat-Seng Chua, Haijie Gu, Jie Jiang:
Beyond Action Imitation: Learning a Decision-Aware User Simulator for Online Advertising. CoRR abs/2607.26893 (2026)
[i422]Enyi Shi, Fei Shen, Chuancheng Shi, Linxia Zhu, Shuyi Miao, Jinhui Tang, Tat-Seng Chua:
One Anchor for All: Unified Multilingual and Multimodal Safety Alignment for LVLMs. CoRR abs/2607.27917 (2026)
[i421]Jian Yu, Fei Shen, Cong Wang, Jian Wang, Lu Jin, Xiaoyu Du, Jinhui Tang, Tat-Seng Chua:
SafeNexus: Discovering and Steering Modality-Universal Safety Neurons in MLLMs. CoRR abs/2607.28969 (2026)
[i420]Chaoqun Yang, Fengbin Zhu, Xinyu Lin, Long Bai, Xiaoluan Liu, Ke-Wei Huang, Roger Zimmermann, Tat-Seng Chua:
FinDeepIndicator: Benchmarking Deep Research Agents in End-to-End Financial Indicator Construction. CoRR abs/2608.00764 (2026)
[i419]Simiao Xie, Chuancheng Shi, Shangze Li, Wenhua Wu, Fei Shen, Ying Zhou, Zhiyong Wang, Tat-Seng Chua:
No Single Neuron of Failure: Distributed Safety Alignment Against White-Box Attacks. CoRR abs/2608.01414 (2026)
[i418]Qi Liu, Jiaxin Mao, Fengbin Zhu, Tat-Seng Chua:
Diagnosing Search Behavior and Failure Modes in Long-Horizon Search Agents. CoRR abs/2608.01913 (2026)
[i417]Qi Liu, Yiqun Chen, Zidan Chen, Yan Gao, Yi Wu, Yao Hu, Jiaxin Mao, Fengbin Zhu, Tat-Seng Chua:
Fetch-then-Explore: Decoupling Selection from Extraction over a Persistent Workspace for Search Agents. CoRR abs/2608.02097 (2026)
[i416]Shangze Li, Chuancheng Shi, Simiao Xie, Lingzhi He, Cheng Ji, Zifeng Cheng, Fei Shen, Chao Wu, Tat-Seng Chua:
Moving the Safety Barrier: Dynamic Routing Adaptive Alignment Against White-Box Attacks. CoRR abs/2608.02674 (2026)
[i415]Shichao Kan, Chengpeng Hong, Jingtong Dou, Chuancheng Shi, Yuhan Liu, Linrui Xu, Yixiong Liang, Yigang Cen, Yanpeng Sun, Fei Shen, Tat-Seng Chua:
V-FIND: Revealing the Intrinsic Forgery Knowledge Encoded in Video Forgery Detectors. CoRR abs/2608.03008 (2026)
[i414]Jinhe Bi, Chennan Zhou, Zengjie Jin, Aniri, Shuo Lu, Wenke Huang, Hu Cao, Xun Xiao, Zhihong Zhu, Volker Tresp, Fei Shen, Yunpu Ma, Tat-Seng Chua:
ReflectRL: Learning from Golden Negative Trajectories via Reflective-to-Direct Reasoning. CoRR abs/2608.03972 (2026)
[i413]Aniri, Jinhe Bi, Peng Liao, Zengjie Jin, Volker Tresp, Fei Shen, Yunpu Ma, Tat-Seng Chua:
OPD-V: Visual On-Policy Self-Distillation with Modality Balance. CoRR abs/2608.05131 (2026)
[i412]ZhiYan Hou, Dan Zhang, Tao Feng, Liyuan Wang, Wei Li, Xiangzhao Hao, Hongyan An, Junfeng Fang, Haokai Ma, Zhaohui Xu, Xinyu Tang, Haiyun Guo, Jinqiao Wang, Tat-Seng Chua:
Continual Learning in Transition. CoRR abs/2608.06216 (2026)
[i411]Xiaoyan Zhao, Yujie Cai, Yang Zhang
, Grace Hui Yang, Tat-Seng Chua:
Forgotten History or Test-of-Time? Retrospect and Prospect on RAG from an IR Perspective. CoRR abs/2608.08445 (2026)
[i410]Shuyi Miao, Wangjie Qiu, Pengyang Shao, Canran Xiao, Fei Shen, Zhiming Zheng, Tat-Seng Chua:
Who Bridges Safety? Identifying and Targeting Cross-Lingual Shared Safety Pathways. CoRR abs/2608.09095 (2026)
[i409]Jiahong Liu, Ming Shen, Xiaohao Liu, Rex Ying, Menglin Yang, Tat-Seng Chua, Irwin King:
Hyperbolic Multimodal Continual Learning. CoRR abs/2608.09572 (2026)
[i408]Haokai Ma, Aoqi Hu, Yueao Xing, Ruobing Xie, Yonghui Yang, Teng Tu, Lei Meng, Tat-Seng Chua:
EchoRec: Multi-Item Prediction-Empowered Generative Recommendation via Cycle-Consistent Preference Alignment. CoRR abs/2608.14011 (2026)
[i407]Zhizhao Guan, Chen Huang, Ziming Liu, Hongru Liang, Wenqiang Lei, See-Kiong Ng, Tat-Seng Chua, Anthony G. Cohn:
Clearing the Fog: Towards Installing and Refining Proactive Exploration Capabilities in LLM Agents. CoRR abs/2608.14339 (2026)
[i406]Aniri, Chen Yilin, Jinhe Bi, Jun Guo, Donglai Ran, Xu Bian, Zengjie Jin, Yujun Wang, Yijun Tian, Volker Tresp, Fei Shen, Tat-Seng Chua, Yunpu Ma:
FabriMAE I Trust Myself? Self-Evaluating VLA Action Generation with Markov Attention Entropy. CoRR abs/2608.16697 (2026)
[i405]Wei Zhou, Xiongwei Zhu, Lingdong Kong
, Bo Chen, Lei Zhang, Yongyuan Liang, Xiaoxia Hou, Ye Tian, Xian Sun, Yingshuo Wang, Linfeng Li, Shengqiong Wu, Leigang Qu, Feng Li, Wei Liu, Julian J. McAuley, Tat-Seng Chua:
On-Policy Self-Distillation in Diffusion Models. CoRR abs/2608.24646 (2026)
[i404]XiuYu Zhang, Bonan Ruan, Junfeng Fang, An Zhang, Tat-Seng Chua, Zhenkai Liang:
LMSM: LLM Security Framework Inspired by Linux Security Modules. CoRR abs/2608.25697 (2026)
[i403]Yibo Wang, Rui Yang, Jisheng Dang, Bimei Wang, Yitao Wu, Pengfei Cao, Wencan Zhang, Hong Peng, Bin Hu, Tat-Seng Chua:
AffectOmni: RL-Verifiable People-Centric Grounded Affective Reasoning for Social and Art-Related Scenes. CoRR abs/2608.26193 (2026)
[i402]Mingwen Zhang, Jisheng Dang, Minqiang Yang, Bimei Wang, Bin Hu, Tat-Seng Chua:
Multi-Agent Self-Improving Reinforcement Learning for Video Reasoning. CoRR abs/2608.28675 (2026)
[i401]Yifan Chen, Haitao Li, Qingyao Ai, Fengbin Zhu, Tat-Seng Chua, Min Zhang, Yiqun Liu:
GenRubric: Self-Evolving Rubric Generation for Scalable LLM Evaluation. CoRR abs/2608.29856 (2026)
[i400]Pengfei Shao, Jisheng Dang, Jiawen Fang, Ning Liu, Wencan Zhang, Bimei Wang, Jingwen Zhao, Jianhuang Lai, Qi Tian, Tat-Seng Chua:
MVFA: A Multi-View Text-Guided Multimodal Fusion LLM Adapter for Sentiment Analysis and Emotion Recognition. CoRR abs/2609.06188 (2026)
[i399]Jisheng Dang, Zhenxuan Wang, Bin Li, Ronghao Lin, Bin Hu, Tat-Seng Chua:
Balancing Emotional Alignment and Semantic Consistency in Image Generation via Reinforcement Learning with Valence-Arousal Anchoring. CoRR abs/2609.12830 (2026)
[i398]Xinyu Lin, Zhuosong Jiang, Zixiao Suo, Siqin Wang, Hanqing Zeng, Hanchao Yu, Yinglong Xia, Jiang Zhang, Aashu Singh, Fei Liu, Wenjie Wang
, Fuli Feng, Yang Song, Qifan Wang, Tat-Seng Chua:
Self-Evolving Memory for Generative Recommendation. CoRR abs/2609.15598 (2026)
[i397]Ying Guo, Haidong Chen, Linrui Xu, Xiaohao Liu, Chuancheng Shi, Canran Xiao, Dan Zhang, Fei Shen, Li Shen, Tat-Seng Chua:
Hub-Spectral Activation of Latent Multimodal Knowledge. CoRR abs/2609.17094 (2026)
[i396]XiuYu Zhang, Wei Chow, Junfeng Fang, Xingyu Zhu, Zhenkai Liang, Tat-Seng Chua:
What Does Privileged Information Add to On-Policy Self-Distillation? CoRR abs/2609.20612 (2026)
[i395]Yibo Wang, Jisheng Dang, Bimei Wang, Yitao Wu, Wencan Zhang, Hong Peng, Jizhao Liu, Bin Hu, Qi Tian, Tat-Seng Chua:
Read-Best Is Not Steer-Best: A Probing-Steering Layer Dissociation in Omni-Modal Large Language Models. CoRR abs/2609.22135 (2026)
[i394]Tiviatis Sim, Jia Hui Woon, Xinming Gao, Chen Gao, Fengbin Zhu, Zheng Huanhuan, Tat-Seng Chua, Kenji Kawaguchi:
PAWS: Policy-driven Agentic World Simulation. CoRR abs/2609.28547 (2026)
[i393]Jiahong Liu, Ming Shen, Xiaohao Liu, Rex Ying, Menglin Yang, Tat-Seng Chua, Irwin King:
Hyperbolic Multimodal Continual Learning: A Closest-Admissible Solution. CoRR abs/2609.29329 (2026)
[i392]Xianhui Zhang, Jian Yu, Chengyu Xie, Chenhang Cui, Shuyi Miao, Pengyang Shao, Yu Zheng, Fei Shen, Tat-Seng Chua:
ACTR: Aligning Thoughts and Responses for Multilingual Safety in Reasoning LLMs. CoRR abs/2609.37054 (2026)- 2025
[j220]Yu Zhao
, Hao Fei, Shengqiong Wu, Meishan Zhang, Min Zhang, Tat-Seng Chua:
Grammar induction from visual, speech and text. Artif. Intell. 341: 104306 (2025)
[j219]Jizhi Zhang
, Keqin Bao
, Wenjie Wang
, Yang Zhang
, Wentao Shi
, Wanhong Xu
, Fuli Feng
, Tat-Seng Chua
:
Envisioning Recommendations on an LLM-Based Agent Platform. Commun. ACM 68(05): 48-57 (2025)
[j218]Junbin Xiao
, Nanxin Huang, Hangyu Qin, Dongyang Li, Yicong Li, Fengbin Zhu, Zhulin Tao, Jianxing Yu, Liang Lin, Tat-Seng Chua, Angela Yao:
VideoQA in the Era of LLMs: An Empirical Study. Int. J. Comput. Vis. 133(7): 3970-3993 (2025)
[j217]Man Liu
, Huihui Bai
, Feng Li
, Chunjie Zhang
, Yunchao Wei
, Meng Wang, Tat-Seng Chua
, Yao Zhao
:
PSVMA+: Exploring Multi-Granularity Semantic-Visual Adaption for Generalized Zero-Shot Learning. IEEE Trans. Pattern Anal. Mach. Intell. 47(1): 51-66 (2025)
[j216]Yicong Li
, Xiang Wang
, Junbin Xiao
, Wei Ji
, Tat-Seng Chua
:
Transformer-Empowered Invariant Grounding for Video Question Answering. IEEE Trans. Pattern Anal. Mach. Intell. 47(11): 9510-9522 (2025)
[j215]Sihang Li
, Yanchen Luo
, An Zhang
, Xiang Wang
, Longfei Li
, Jun Zhou
, Tat-Seng Chua
:
Self-attentive Rationalization for Interpretable Graph Contrastive Learning. ACM Trans. Knowl. Discov. Data 19(2): 43:1-43:21 (2025)
[j214]Zhaoyan Ming
, Zeyu Xie, Chao Zhang, Kui Su
, Changzheng Yuan
, Tat-Seng Chua
:
Robust Visual Food Recognition for Enriching Nutrition Knowledge Bases. IEEE Trans. Multim. 27: 2825-2835 (2025)
[j213]Xing Lan
, Jian Xue
, Ji Qi, Dongmei Jiang
, Ke Lu
, Tat-Seng Chua
:
ExpLLM: Towards Chain of Thought for Facial Expression Recognition. IEEE Trans. Multim. 27: 3069-3081 (2025)
[j212]Jianwu Fang
, Lei-Lei Li, Zhedong Zheng
, Hongkai Yu
, Jianru Xue
, Zhengguo Li
, Tat-Seng Chua
:
EQ-TAA: Equivariant Traffic Accident Anticipation via Diffusion-Based Accident Video Synthesis. IEEE Trans. Multim. 27: 8628-8643 (2025)
[j211]Bobo Li
, Hao Fei
, Fei Li
, Shengqiong Wu
, Lizi Liao
, Yinwei Wei
, Tat-Seng Chua
, Donghong Ji
:
Revisiting Conversation Discourse for Dialogue Disentanglement. ACM Trans. Inf. Syst. 43(1): 15:1-15:34 (2025)
[j210]Yang Deng
, Lizi Liao
, Wenqiang Lei
, Grace Hui Yang
, Wai Lam
, Tat-Seng Chua
:
Proactive Conversational AI: A Comprehensive Survey of Advancements and Opportunities. ACM Trans. Inf. Syst. 43(3): 67:1-67:45 (2025)
[j209]Yang Deng
, Zifeng Ren
, An Zhang
, Tat-Seng Chua
:
Towards Goal-oriented Intelligent Tutoring Systems in Online Education. ACM Trans. Inf. Syst. 43(6): 168:1-168:26 (2025)
[j208]Xiaolin Chen
, Xuemeng Song
, Jianhui Zuo
, Yinwei Wei
, Liqiang Nie
, Tat-Seng Chua
:
Domain-aware Multimodal Dialog Systems with Distribution-based User Characteristic Modeling. ACM Trans. Multim. Comput. Commun. Appl. 21(2): 66:1-66:22 (2025)
[j207]Bobo Li
, Hao Fei
, Fei Li
, Tat-Seng Chua
, Donghong Ji
:
Multimodal Emotion-Cause Pair Extraction with Holistic Interaction and Label Constraint. ACM Trans. Multim. Comput. Commun. Appl. 21(11): 307:1-307:19 (2025)
[c657]Man Liu, Huihui Bai, Feng Li, Chunjie Zhang, Yunchao Wei, Tat-Seng Chua, Yao Zhao:
Attend and Enrich: Enhanced Visual Prompt for Zero-Shot Learning. AAAI 2025: 5504-5512
[c656]Shengqiong Wu, Hao Fei, Liangming Pan
, William Yang Wang, Shuicheng Yan, Tat-Seng Chua:
Combating Multimodal LLM Hallucination via Bottom-Up Holistic Reasoning. AAAI 2025: 8460-8468
[c655]Zheqi Lv, Keming Ye, Zishu Wei, Qi Tian
, Shengyu Zhang, Wenqiao Zhang, Wenjie Wang, Kun Kuang, Tat-Seng Chua, Fei Wu:
Optimize Incompatible Parameters Through Compatibility-aware Knowledge Integration. AAAI 2025: 19233-19241
[c654]Tu Ao, Yanhua Yu, Yuling Wang, Yang Deng
, Zirui Guo, Liang Pang, Pinghui Wang, Tat-Seng Chua, Xiao Zhang, Zhen Cai:
LightPROF: A Lightweight Reasoning Framework for Large Language Model on Knowledge Graph. AAAI 2025: 23424-23432
[c653]Yong Zhao, Yang Deng
, See-Kiong Ng, Tat-Seng Chua:
Aligning Large Language Models for Faithful Integrity Against Opposing Argument. AAAI 2025: 27748-27756
[c652]Hongzhan Lin, Yang Deng
, Yuxuan Gu, Wenxuan Zhang, Jing Ma, See-Kiong Ng, Tat-Seng Chua:
FACT-AUDIT: An Adaptive Multi-Agent Framework for Dynamic Fact-Checking Evaluation of Large Language Models. ACL (1) 2025: 360-381
[c651]Chen Huang, Yang Deng
, Wenqiang Lei, Jiancheng Lv, Tat-Seng Chua, Jimmy Huang:
How to Enable Effective Cooperation Between Humans and NLP Models: A Survey of Principles, Formalizations, and Beyond. ACL (1) 2025: 466-488
[c650]Jinghan He, Kuan Zhu, Haiyun Guo, Junfeng Fang, Zhenglin Hua, Yuheng Jia, Ming Tang, Tat-Seng Chua, Jinqiao Wang:
Cracking the Code of Hallucination in LVLMs with Vision-aware Head Divergence. ACL (1) 2025: 3488-3501
[c649]Moxin Li, Yong Zhao, Wenxuan Zhang, Shuaiyi Li, Wenya Xie
, See-Kiong Ng, Tat-Seng Chua, Yang Deng
:
Knowledge Boundary of Large Language Models: A Survey. ACL (1) 2025: 5131-5157
[c648]Jinghao Zhang, Yuting Liu, Wenjie Wang
, Qiang Liu, Shu Wu, Liang Wang, Tat-Seng Chua:
Personalized Text Generation with Contrastive Activation Steering. ACL (1) 2025: 7128-7141
[c647]Moxin Li, Yuantao Zhang, Wenjie Wang
, Wentao Shi, Zhuo Liu, Fuli Feng, Tat-Seng Chua:
Self-Improvement Towards Pareto Optimality: Mitigating Preference Conflicts in Multi-Objective Alignment. ACL (Findings) 2025: 11010-11031
[c646]Weixiang Zhao, Yulin Hu, Yang Deng
, Jiahe Guo
, Xingyu Sui, Xinyang Han, An Zhang, Yanyan Zhao, Bing Qin, Tat-Seng Chua, Ting Liu:
Beware of Your Po! Measuring and Mitigating AI Safety Risks in Role-Play Fine-Tuning of LLMs. ACL (1) 2025: 11112-11137
[c645]Yuxuan Gu, Wenjie Wang
, Xiaocheng Feng, Weihong Zhong, Kun Zhu
, Lei Huang, Ting Liu, Bing Qin, Tat-Seng Chua:
Length Controlled Generation for Black-box LLMs. ACL (1) 2025: 16878-16895
[c644]Long Bai
, Zixuan Li, Xiaolong Jin, Jiafeng Guo, Xueqi Cheng, Tat-Seng Chua:
G2S: A General-to-Specific Learning Framework for Temporal Knowledge Graph Forecasting with Large Language Models. ACL (Findings) 2025: 20927-20938
[c643]Yilun Qiu, Xiaoyan Zhao, Yang Zhang
, Yimeng Bai, Wenjie Wang
, Hong Cheng, Fuli Feng, Tat-Seng Chua:
Measuring What Makes You Unique: Difference-Aware User Modeling for Enhancing LLM Personalization. ACL (Findings) 2025: 21258-21277
[c642]Weixiang Zhao, Yulin Hu, Yang Deng
, Tongtong Wu, Wenxuan Zhang, Jiahe Guo
, An Zhang, Yanyan Zhao, Bing Qin, Tat-Seng Chua, Ting Liu:
MPO: Multilingual Safety Alignment via Reward Gap Optimization. ACL (1) 2025: 23564-23587
[c641]Yiyan Xu, Jinghao Zhang, Alireza Salemi, Xinting Hu, Wenjie Wang
, Fuli Feng, Hamed Zamani, Xiangnan He, Tat-Seng Chua:
Personalized Generation In Large Model Era: A Survey. ACL (1) 2025: 24607-24649
[c640]Yupeng Hou
, An Zhang
, Leheng Sheng
, Jiancan Wu
, Xiang Wang
, Tat-Seng Chua
, Julian J. McAuley
:
Towards Large Generative Recommendation: A Tokenization Perspective. CIKM 2025: 6821-6824
[c639]Yi Bin
, Haoxuan Li
, Haokai Ma
, Yang Zhang
, Wenjie Wang
, Yunshan Ma
, Yang Yang
, Tat-Seng Chua
:
International Workshop on Multimodal Generative Search and Recommendation (MMGenSR@CIKM 2025). CIKM 2025: 6890-6893
[c638]Haiyi Qiu, Minghe Gao, Long Qian, Kaihang Pan, Qifan Yu, Juncheng Li, Wenjie Wang
, Siliang Tang, Yueting Zhuang, Tat-Seng Chua:
STEP: Enhancing Video-LLMs' Compositional Reasoning by Spatio-Temporal Graph-guided Self-Training. CVPR 2025: 3284-3294
[c637]Sheng Zhou, Junbin Xiao, Qingyun Li, Yicong Li, Xun Yang, Dan Guo, Meng Wang, Tat-Seng Chua, Angela Yao:
EgoTextVQA: Towards Egocentric Scene-Text Aware Video Question Answering. CVPR 2025: 3363-3373
[c636]Shengqiong Wu, Hao Fei, Tat-Seng Chua:
Universal Scene Graph Generation. CVPR 2025: 14158-14168
[c635]Zhenglin Zhou, Fan Ma, Hehe Fan, Tat-Seng Chua:
Zero-1-to-A: Zero-Shot One Image to Animatable Head Avatars Using Video Diffusion. CVPR 2025: 15941-15952
[c634]Leigang Qu, Haochuan Li, Wenjie Wang
, Xiang Liu, Juncheng Li, Liqiang Nie, Tat-Seng Chua:
SILMM: Self-Improving Large Multimodal Models for Compositional Text-to-Image Generation. CVPR 2025: 18497-18508
[c633]Tianyu Yu, Haoye Zhang, Qiming Li, Qixin Xu, Yuan Yao, Da Chen, Xiaoman Lu, Ganqu Cui, Yunkai Dang, Taiwen He, Xiaocheng Feng
, Jun Song, Bo Zheng, Zhiyuan Liu, Tat-Seng Chua, Maosong Sun:
RLAIF-V: Open-Source AI Feedback Leads to Super GPT-4V Trustworthiness. CVPR 2025: 19985-19995
[c632]Shengqiong Wu, Hao Fei, Jingkang Yang, Xiangtai Li, Juncheng Li, Hanwang Zhang, Tat-Seng Chua:
Learning 4D Panoptic Scene Graph Generation from Rich 2D Visual Scene. CVPR 2025: 24539-24549
[c631]Chengbing Wang, Yang Zhang
, Zhicheng Wang, Tianhao Shi, Keqin Bao, Fuli Feng, Tat-Seng Chua:
Decoding in Latent Spaces for Efficient Inference in LLM-based Recommendation. EMNLP (Findings) 2025: 7591-7603
[c630]Sunhao Dai, Zhanshuo Cao, Wenjie Wang
, Liang Pang, Jun Xu, See-Kiong Ng, Tat-Seng Chua:
Media Source Matters More Than Content: Unveiling Political Bias in LLM-Generated Citations. EMNLP 2025: 17256-17276
[c629]Weixiang Zhao, Jiahe Guo
, Yulin Hu, Yang Deng
, An Zhang, Xingyu Sui, Xinyang Han, Yanyan Zhao, Bing Qin, Tat-Seng Chua, Ting Liu:
AdaSteer: Your Aligned LLM is Inherently an Adaptive Jailbreak Defender. EMNLP 2025: 24559-24577
[c628]Minghe Gao, Xuqi Liu, Zhongqi Yue, Yang Wu, Shuang Chen, Juncheng Li, Siliang Tang, Fei Wu, Tat-Seng Chua, Yueting Zhuang:
Benchmarking Multimodal CoT Reward Model Stepwise by Visual Program. ICCV 2025: 1718-1728
[c627]Lei-Lei Li, Jianwu Fang, Junbin Xiao, Shanmin Pang, Hongkai Yu, Chen Lv, Jianru Xue, Tat-Seng Chua:
Causal-Entity Reflected Egocentric Traffic Accident Video Synthesis. ICCV 2025: 11208-11218
[c626]Xiao Liang, Di Wang, Zhicheng Jiao, Ronghan Li, Pengfei Yang, Quan Wang, Tat-Seng Chua:
Uncertainty-Driven Expert Control: Enhancing the Reliability of Medical Vision-Language Models. ICCV 2025: 21144-21154
[c625]Xinyu Lin, Chaoqun Yang, Wenjie Wang, Yongqi Li, Cunxiao Du, Fuli Feng, See-Kiong Ng, Tat-Seng Chua:
Efficient Inference for Large Language Model-based Generative Recommendation. ICLR 2025
[c624]Chen Xu, Yuxin Li, Wenjie Wang, Liang Pang, Jun Xu, Tat-Seng Chua:
Bridging Jensen Gap for Max-Min Group Fairness Optimization in Recommendation. ICLR 2025
[c623]Jiawei Wang, Shaofei Lu, Da Cao, Dongyu Wang, Yuquan Le, Zhe Quan, Tat-Seng Chua:
Neural Causal Graph for Interpretable and Intervenable Classification. ICLR 2025
[c622]Chenhang Cui, An Zhang, Yiyang Zhou, Zhaorun Chen, Gelei Deng, Huaxiu Yao, Tat-Seng Chua:
Fine-Grained Verifiers: Preference Modeling as Next-token Prediction in Vision-Language Alignment. ICLR 2025
[c621]Junfeng Fang, Houcheng Jiang, Kun Wang, Yunshan Ma, Jie Shi, Xiang Wang, Xiangnan He, Tat-Seng Chua:
AlphaEdit: Null-Space Constrained Knowledge Editing for Language Models. ICLR 2025
[c620]Zhiyuan Liu, Yanchen Luo, Han Huang, Enzhi Zhang, Sihang Li, Junfeng Fang, Yaorui Shi, Xiang Wang, Kenji Kawaguchi, Tat-Seng Chua:
NExT-Mol: 3D Diffusion Meets 1D Language Modeling for 3D Molecule Generation. ICLR 2025
[c619]Shuo Liu, An Zhang, Guoqing Hu, Hong Qian, Tat-Seng Chua:
Preference Diffusion for Recommendation. ICLR 2025
[c618]Leigang Qu, Haochuan Li, Tan Wang, Wenjie Wang, Yongqi Li, Liqiang Nie, Tat-Seng Chua:
TIGeR: Unifying Text-to-Image Generation and Retrieval with Large Multimodal Models. ICLR 2025
[c617]Leheng Sheng, An Zhang, Yi Zhang, Yuxin Chen, Xiang Wang, Tat-Seng Chua:
Language Representations Can be What Recommenders Need: Findings and Potentials. ICLR 2025
[c616]Shengqiong Wu, Hao Fei, Xiangtai Li, Jiayi Ji, Hanwang Zhang, Tat-Seng Chua, Shuicheng Yan:
Towards Semantic Equivalence of Tokenization in Multimodal LLM. ICLR 2025
[c615]Hao Fei, Yuan Zhou, Juncheng Li, Xiangtai Li, Qingshan Xu, Bobo Li, Shengqiong Wu, Yaoting Wang, Junbao Zhou, Jiahao Meng, Qingyu Shi, Zhiyuan Zhou, Liangtao Shi, Minghe Gao, Daoan Zhang, Zhiqi Ge, Siliang Tang, Kaihang Pan, Yaobo Ye, Haobo Yuan, Tao Zhang, Weiming Wu, Tianjie Ju, Zixiang Meng, Shilin Xu, Liyu Jia, Wentao Hu, Meng Luo, Jiebo Luo, Tat-Seng Chua, Shuicheng Yan, Hanwang Zhang:
On Path to Multimodal Generalist: General-Level and General-Bench. ICML 2025
[c614]Houcheng Jiang, Junfeng Fang, Ningyu Zhang, Mingyang Wan, Guojun Ma, Xiang Wang, Xiangnan He, Tat-Seng Chua:
AnyEdit: Edit Any Knowledge Encoded in Language Models. ICML 2025
[c613]Xinting Liao, Weiming Liu, Jiaming Qian, Pengyang Zhou, Jiahe Xu, Wenjie Wang, Chaochao Chen, Xiaolin Zheng, Tat-Seng Chua:
FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models. ICML 2025
[c612]Bingchen Miao, Yang Wu, Minghe Gao, Qifan Yu, Wendong Bu, Wenqiao Zhang, Yunfei Li, Siliang Tang, Tat-Seng Chua, Juncheng Li:
Boosting Virtual Agent Learning and Reasoning: A Step-Wise, Multi-Dimensional, and Generalist Reward Model with Benchmark. ICML 2025
[c611]Fei Shen, Cong Wang, Junyao Gao, Qin Guo, Jisheng Dang, Jinhui Tang, Tat-Seng Chua:
Long-Term TalkingFace Generation via Motion-Prior Conditional Diffusion Model. ICML 2025
[c610]Zhenglin Zhou, Xiaobo Xia, Fan Ma, Hehe Fan, Yi Yang, Tat-Seng Chua:
DreamDPO: Aligning Text-to-3D Generation with Human Preferences via Direct Preference Optimization. ICML 2025
[c609]Leyang Jin, Wei Ji, Tat-Seng Chua, Zhedong Zheng:
Coarse-to-Fine Cross-Modality Generation for Enhancing Vehicle Re-Identification with High-Fidelity Synthetic Data. ICRA 2025: 7319-7326
[c608]Jisheng Dang, Huicheng Zheng, Xudong Wu, Jingmei Jiao, Bimei Wang, Jun Yang, Bin Hu, Jianhuang Lai, Tat-Seng Chua:
External Memory Matters: Generalizable Object-Action Memory for Retrieval-Augmented Long-Term Video Understanding. IJCAI 2025: 864-872
[c607]Xiaohao Liu
, Jie Wu
, Zhulin Tao
, Yunshan Ma
, Yinwei Wei
, Tat-Seng Chua
:
Fine-tuning Multimodal Large Language Models for Product Bundling. KDD (1) 2025: 848-858
[c606]Yingzhi He
, Xiaohao Liu
, An Zhang
, Yunshan Ma
, Tat-Seng Chua
:
LLM2Rec: Large Language Models Are Powerful Embedding Models for Sequential Recommendation. KDD (2) 2025: 896-907
[c605]Chaoqun Yang
, Xinyu Lin
, Wenjie Wang
, Yongqi Li
, Teng Sun
, Xianjing Han
, Tat-Seng Chua
:
EARN: Efficient Inference Acceleration for LLM-based Generative Recommendation by Register Tokens. KDD (2) 2025: 3483-3494
[c604]Tat-Seng Chua:
Next Phase of Research on Multimodal Foundation Models: From Alignments to Content Generation and Quality Assessment. ACM Multimedia 2025: 2
[c603]Meng Chu
, Yicong Li
, Tat-Seng Chua
:
GraphVideoAgent: Enhancing Long-form Video Understanding with Entity Relation Graphs. ACM Multimedia 2025: 4639-4648
[c602]Fengbin Zhu
, Junfeng Li
, Liangming Pan
, Wenjie Wang
, Fuli Feng
, Chao Wang
, Huanbo Luan
, Tat-Seng Chua
:
Towards Temporal-Aware Multi-Modal Retrieval Augemented Generation in Finance. ACM Multimedia 2025: 6289-6297
[c601]Haowen Gao
, Liang Pang
, Shicheng Xu
, Leigang Qu
, Tat-Seng Chua
, Huawei Shen
, Xueqi Cheng
:
Generative Ghost: Investigating Ranking Bias Hidden in AI-Generated Videos. ACM Multimedia 2025: 6403-6411
[c600]Kaixin Li
, Ziyang Meng
, Hongzhan Lin
, Ziyang Luo
, Yuchen Tian
, Jing Ma
, Zhiyong Huang
, Tat-Seng Chua
:
ScreenSpot-Pro: GUI Grounding for Professional High-Resolution Computer Use. ACM Multimedia 2025: 8778-8786
[c599]Yiyan Xu
, Wuqiang Zheng
, Wenjie Wang
, Fengbin Zhu
, Xinting Hu
, Yang Zhang
, Fuli Feng
, Tat-Seng Chua
:
DRC: Enhancing Personalized Image Generation via Disentangled Representation Composition. ACM Multimedia 2025: 9667-9676
[c598]Xiaohao Liu
, Xiaobo Xia
, Zhuo Huang
, See-Kiong Ng
, Tat-Seng Chua
:
Towards Modality Generalization: A Benchmark and Prospective Analysis. ACM Multimedia 2025: 12179-12188
[c597]Xiang Fang
, Wanlong Fang
, Wei Ji
, Tat-Seng Chua
:
Turing Patterns for Multimedia: Reaction-Diffusion Multi-Modal Fusion for Language-Guided Video Moment Retrieval. ACM Multimedia 2025: 12509-12518
[c596]Zheng Wang
, Qianqian Chen
, Yiyang Luo
, Zhiqiu Ye
, Shi Wei
, Hanwang Zhang
, Tat-Seng Chua
:
Large Generative Models Meet Multimodal Applications (LGM3A). ACM Multimedia 2025: 14320-14322
[c595]Yicong Li
, Junbin Xiao
, Angela Yao
, Tat-Seng Chua
:
Video Question Answering and Beyond. ACM Multimedia 2025: 14346-14347
[c594]Jujia Zhao, Wenjie Wang
, Chen Xu, See-Kiong Ng, Tat-Seng Chua:
A Federated Framework for LLM-based Recommendation. NAACL (Findings) 2025: 2852-2865
[c593]Hao Li, Chenghao Yang
, An Zhang, Yang Deng
, Xiang Wang, Tat-Seng Chua:
Hello Again! LLM-powered Personalized Agent for Long-term Dialogue. NAACL (Long Papers) 2025: 5259-5276
[c592]Yuxin Chen, Yiran Zhao, Yang Zhang, An Zhang, Kenji Kawaguchi, Shafiq Joty, Junnan Li, Tat-Seng Chua, Michael Qizhe Shieh, Wenxuan Zhang:
The Emergence of Abstract Thought in Large Language Models Beyond Any Language. NeurIPS 2025
[c591]Chenhang Cui, Gelei Deng, An Zhang, Jingnan Zheng, Yicong Li, Lianli Gao, Tianwei Zhang, Tat-Seng Chua:
Safe + Safe = Unsafe? Exploring How Safe Images Can Be Exploited to Jailbreak Large Vision-Language Models. NeurIPS 2025
[c590]Minghe Gao, Zhongqi Yue, Wenjie Yan, Yihao Hu, Wei Ji, Siliang Tang, Jun Xiao, Tat-Seng Chua, Yueting Zhuang, Juncheng Li:
Counterfactual Evolution of Multimodal Datasets via Visual Programming. NeurIPS 2025
[c589]Zijie Lin, Yang Zhang, Xiaoyan Zhao, Fengbin Zhu, Fuli Feng, Tat-Seng Chua:
IGD: Token Decisiveness Modeling via Information Gain in LLMs for Personalized Recommendation. NeurIPS 2025
[c588]Kai Liu, Jungang Li, Yuchong Sun, Shengqiong Wu, Jianzhang Gao, Daoan Zhang, Wei Zhang, Sheng Jin, Sicheng Yu, Geng Zhan, Jiayi Ji, Fan Zhou, Liang Zheng, Shuicheng Yan, Hao Fei, Tat-Seng Chua:
JavisGPT: A Unified Multi-modal LLM for Sounding-Video Comprehension and Generation. NeurIPS 2025
[c587]Xiaohao Liu, Xiaobo Xia, See-Kiong Ng, Tat-Seng Chua:
Continual Multimodal Contrastive Learning. NeurIPS 2025
[c586]Xiaohao Liu, Xiaobo Xia, Weixiang Zhao, Manyi Zhang, Xianzhi Yu, Xiu Su, Shuo Yang, See-Kiong Ng, Tat-Seng Chua:
L-MTP: Leap Multi-Token Prediction Beyond Adjacent Context for Large Language Models. NeurIPS 2025
[c585]Yanchen Luo, Zhiyuan Liu, Yi Zhao, Sihang Li, Hengxing Cai, Kenji Kawaguchi, Tat-Seng Chua, Yang Zhang, Xiang Wang:
Towards Unified and Lossless Latent Space for 3D Molecular Latent Diffusion Modeling. NeurIPS 2025
[c584]Leheng Sheng, An Zhang, Zijian Wu, Weixiang Zhao, Changshuo Shen, Yi Zhang, Xiang Wang, Tat-Seng Chua:
On Reasoning Strength Planning in Large Reasoning Models. NeurIPS 2025
[c583]Weixiang Zhao, Jiahe Guo, Yang Deng, Tongtong Wu, Wenxuan Zhang, Yulin Hu, Xingyu Sui, Yanyan Zhao, Wanxiang Che, Bing Qin, Tat-Seng Chua, Ting Liu:
When Less Language is More: Language-Reasoning Disentanglement Makes LLMs Better Multilingual Reasoners. NeurIPS 2025
[c582]Jingnan Zheng, Xiangtian Ji, Yijun Lu, Chenhang Cui, Weixiang Zhao, Gelei Deng, Zhenkai Liang, An Zhang, Tat-Seng Chua:
RSafe: Incentivizing proactive reasoning to build robust and adaptive LLM safeguards. NeurIPS 2025
[c581]Zhen Cai, Yanhua Yu, Xidian Wang, Kangkang Lu, Tu Ao, Mingliang Yan, Liang Pang, Pinghui Wang, Tat-Seng Chua:
HiGraph-LLM: Hierarchical Graph Encoding and Integration with Large Language Models. PRICAI 2025: 304-320
[c580]Honghui Bao
, Wenjie Wang
, Xinyu Lin
, Fengbin Zhu
, Teng Sun
, Fuli Feng
, Tat-Seng Chua
:
Heterogeneous User Modeling for LLM-based Recommendation. RecSys 2025: 145-154
[c579]Chen Xu
, Jujia Zhao
, Wenjie Wang
, Liang Pang
, Jun Xu
, Tat-Seng Chua
, Maarten de Rijke
:
Understanding Accuracy-Fairness Trade-offs in Re-ranking through Elasticity in Economics. SIGIR 2025: 539-548
[c578]Yongqi Li
, Hongru Cai
, Wenjie Wang
, Leigang Qu
, Yinwei Wei
, Wenjie Li
, Liqiang Nie
, Tat-Seng Chua
:
Revolutionizing Text-to-Image Retrieval as Autoregressive Token-to-Voken Generation. SIGIR 2025: 813-822
[c577]Ruiyang Ren
, Yuhao Wang
, Junyi Li
, Jinhao Jiang
, Wayne Xin Zhao
, Wenjie Wang
, Tat-Seng Chua
:
LLM-based Search Assistant with Holistically Guided MCTS for Intricate Information Seeking. SIGIR 2025: 1098-1108
[c576]Hongru Cai
, Yongqi Li
, Ruifeng Yuan
, Wenjie Wang
, Zhen Zhang
, Wenjie Li
, Tat-Seng Chua
:
Exploring Training and Inference Scaling Laws in Generative Retrieval. SIGIR 2025: 1339-1349
[c575]Xinyu Lin
, Haihan Shi
, Wenjie Wang
, Fuli Feng
, Qifan Wang
, See-Kiong Ng
, Tat-Seng Chua
:
Order-agnostic Identifier for Large Language Model-based Generative Recommendation. SIGIR 2025: 1923-1933
[c574]Sunhao Dai
, Wenjie Wang
, Liang Pang
, Jun Xu
, See-Kiong Ng
, Ji-Rong Wen
, Tat-Seng Chua
:
NExT-Search: Rebuilding User Feedback Ecosystem for Generative AI Search. SIGIR 2025: 3922-3931
[c573]Fengbin Zhu
, Yunshan Ma
, Fuli Feng
, Chao Wang
, Huanbo Luan
, Guangnan Ye
, Shuo Zhang
, Dhagash Mehta
, Pingping Chen
, Bing Xiang
, Tat-Seng Chua
:
FinIR: The 2nd Workshop on Financial Information Retrieval in the Era of Generative AI. SIGIR 2025: 4184-4187
[c572]Yupeng Hou
, An Zhang
, Leheng Sheng
, Zhengyi Yang
, Xiang Wang
, Tat-Seng Chua
, Julian J. McAuley
:
Generative Recommendation Models: Progress and Directions. WWW (Companion Volume) 2025: 13-16
[c571]Hongru Cai
, Yongqi Li
, Wenjie Wang
, Fengbin Zhu
, Xiaoyu Shen
, Wenjie Li
, Tat-Seng Chua
:
Large Language Models Empowered Personalized Web Agents. WWW 2025: 198-215
[c570]Wenjie Wang
, Xinyu Lin
, Fuli Feng
, Xiangnan He
, Tat-Seng Chua
:
Generative Recommendation: Towards Personalized Multimodal Content Generation. WWW (Companion Volume) 2025: 2421-2425
[c569]Ruiyang Ren
, Yuhao Wang
, Kun Zhou
, Wayne Xin Zhao
, Wenjie Wang
, Jing Liu
, Ji-Rong Wen
, Tat-Seng Chua
:
Self-Calibrated Listwise Reranking with Large Language Models. WWW 2025: 3692-3701
[c568]Qian Dong
, Qingyao Ai
, Hongning Wang
, Yiding Liu
, Haitao Li
, Weihang Su
, Yiqun Liu
, Tat-Seng Chua
, Shaoping Ma
:
Decoupling Knowledge and Context: An Efficient and Effective Retrieval Augmented Generation Framework via Cross Attention. WWW 2025: 4386-4395
[e23]Tat-Seng Chua, Lai-Kuan Wong, Chee Seng Chan, Jinhui Tang, Chong-Wah Ngo, Klaus Schoeffmann, Jiaying Liu, Yo-Sung Ho:
Proceedings of the 7th ACM International Conference on Multimedia in Asia, MMAsia 2025, Kuala Lumpur, Malaysia, December 9-12, 2025. ACM 2025, ISBN 979-8-4007-2005-5 [contents]
[e22]Tat-Seng Chua, Lai-Kuan Wong, Chee Seng Chan, Jinhui Tang, Chong-Wah Ngo, Klaus Schoeffmann, Jiaying Liu, Yo-Sung Ho:
MMAsia '25 Workshops: Proceedings of the 7th ACM International Conference on Multimedia in Asia, Kuala Lumpur, Malaysia, December 9-12, 2025. ACM 2025, ISBN 979-8-4007-2247-9 [contents]
[d1]Tat-Seng Chua, Jinhui Tang, Richang Hong, Haojie Li, Zhiping Luo, Yantao Zheng:
NUS-WIDE. IEEE DataPort, 2025
[i391]Yong Zhao, Yang Deng, See-Kiong Ng, Tat-Seng Chua:
Aligning Large Language Models for Faithful Integrity Against Opposing Argument. CoRR abs/2501.01336 (2025)
[i390]Chen Huang, Yang Deng, Wenqiang Lei, Jiancheng Lv, Tat-Seng Chua, Jimmy Xiangji Huang
:
How to Enable Effective Cooperation Between Humans and NLP Models: A Survey of Principles, Formalizations, and Beyond. CoRR abs/2501.05714 (2025)
[i389]Han Liu, Yinwei Wei, Fan Liu, Wenjie Wang
, Liqiang Nie, Tat-Seng Chua:
Dynamic Multimodal Fusion via Meta-Learning Towards Micro-Video Recommendation. CoRR abs/2501.07110 (2025)
[i388]Zheqi Lv, Keming Ye, Zishu Wei, Qi Tian, Shengyu Zhang, Wenqiao Zhang, Wenjie Wang
, Kun Kuang, Tat-Seng Chua, Fei Wu:
Optimize Incompatible Parameters through Compatibility-aware Knowledge Integration. CoRR abs/2501.07596 (2025)
[i387]He Chang, Jie Wu, Zhulin Tao, Yunshan Ma, Xianglin Huang, Tat-Seng Chua:
Integrate Temporal Graph Learning into LLM-based Temporal Knowledge Graph Model. CoRR abs/2501.11911 (2025)
[i386]Meng Chu, Yicong Li, Tat-Seng Chua:
Understanding Long Videos via LLM-Powered Entity Relation Graphs. CoRR abs/2501.15953 (2025)
[i385]Zhenglin Zhou, Xiaobo Xia, Fan Ma, Hehe Fan, Yi Yang, Tat-Seng Chua:
DreamDPO: Aligning Text-to-3D Generation with Human Preferences via Direct Preference Optimization. CoRR abs/2502.04370 (2025)
[i384]Ruiyang Ren, Yuhao Wang, Junyi Li, Jinhao Jiang, Wayne Xin Zhao, Wenjie Wang
, Tat-Seng Chua:
Holistically Guided Monte Carlo Tree Search for Intricate Information Seeking. CoRR abs/2502.04751 (2025)
[i383]Houcheng Jiang, Junfeng Fang, Ningyu Zhang, Guojun Ma, Mingyang Wan, Xiang Wang, Xiangnan He, Tat-Seng Chua:
AnyEdit: Edit Any Knowledge Encoded in Language Models. CoRR abs/2502.05628 (2025)
[i382]Yan Weng, Fengbin Zhu, Tong Ye, Haoyan Liu
, Fuli Feng, Tat-Seng Chua:
Optimizing Knowledge Integration in Retrieval-Augmented Generation with Self-Selection. CoRR abs/2502.06148 (2025)
[i381]Haowen Gao, Liang Pang, Shicheng Xu, Leigang Qu, Tat-Seng Chua, Huawei Shen, Xueqi Cheng:
Generative Ghost: Investigating Ranking Bias Hidden in AI-Generated Videos. CoRR abs/2502.07327 (2025)
[i380]Sheng Zhou, Junbin Xiao, Qingyun Li, Yicong Li, Xun Yang, Dan Guo, Meng Wang, Tat-Seng Chua, Angela Yao:
EgoTextVQA: Towards Egocentric Scene-Text Aware Video Question Answering. CoRR abs/2502.07411 (2025)
[i379]Chen Xu, Yuxin Li, Wenjie Wang
, Liang Pang, Jun Xu, Tat-Seng Chua:
Bridging Jensen Gap for Max-Min Group Fairness Optimization in Recommendation. CoRR abs/2502.09319 (2025)
[i378]Fei Shen
, Cong Wang, Junyao Gao, Qin Guo, Jisheng Dang, Jinhui Tang, Tat-Seng Chua:
Long-Term TalkingFace Generation via Motion-Prior Conditional Diffusion Model. CoRR abs/2502.09533 (2025)
[i377]Xinyu Lin, Haihan Shi, Wenjie Wang
, Fuli Feng, Qifan Wang, See-Kiong Ng, Tat-Seng Chua:
Order-agnostic Identifier for Large Language Model-based Generative Recommendation. CoRR abs/2502.10833 (2025)
[i376]Zhiyuan Liu, Yanchen Luo, Han Huang
, Enzhi Zhang
, Sihang Li, Junfeng Fang, Yaorui Shi
, Xiang Wang, Kenji Kawaguchi, Tat-Seng Chua:
NExT-Mol: 3D Diffusion Meets 1D Language Modeling for 3D Molecule Generation. CoRR abs/2502.12638 (2025)
[i375]Moxin Li, Yuantao Zhang, Wenjie Wang
, Wentao Shi, Zhuo Liu, Fuli Feng, Tat-Seng Chua:
Self-Improvement Towards Pareto Optimality: Mitigating Preference Conflicts in Multi-Objective Alignment. CoRR abs/2502.14354 (2025)
[i374]Hongzhan Lin, Yang Deng, Yuxuan Gu
, Wenxuan Zhang, Jing Ma, See-Kiong Ng, Tat-Seng Chua:
FACT-AUDIT: An Adaptive Multi-Agent Framework for Dynamic Fact-Checking Evaluation of Large Language Models. CoRR abs/2502.17924 (2025)
[i373]Weixiang Zhao, Yulin Hu, Yang Deng, Jiahe Guo, Xingyu Sui, Xinyang Han, An Zhang, Yanyan Zhao, Bing Qin
, Tat-Seng Chua, Ting Liu:
Beware of Your Po! Measuring and Mitigating AI Safety Risks in Role-Play Fine-Tuning of LLMs. CoRR abs/2502.20968 (2025)
[i372]Yilun Qiu, Xiaoyan Zhao, Yang Zhang
, Yimeng Bai, Wenjie Wang
, Hong Cheng, Fuli Feng, Tat-Seng Chua:
Measuring What Makes You Unique: Difference-Aware User Modeling for Enhancing LLM Personalization. CoRR abs/2503.02450 (2025)
[i371]Yiyan Xu, Jinghao Zhang, Alireza Salemi, Xinting Hu, Wenjie Wang
, Fuli Feng, Hamed Zamani, Xiangnan He, Tat-Seng Chua:
Personalized Generation In Large Model Era: A Survey. CoRR abs/2503.02614 (2025)
[i370]Fengbin Zhu, Junfeng Li, Liangming Pan
, Wenjie Wang
, Fuli Feng, Chao Wang, Huanbo Luan, Tat-Seng Chua:
FinTMMBench: Benchmarking Temporal-Aware Multi-Modal RAG in Finance. CoRR abs/2503.05185 (2025)
[i369]Jinghao Zhang, Yuting Liu, Wenjie Wang
, Qiang Liu, Shu Wu, Liang Wang, Tat-Seng Chua:
Personalized Text Generation with Contrastive Activation Steering. CoRR abs/2503.05213 (2025)
[i368]Zhe Jin, Tat-Seng Chua:
Compose Your Aesthetics: Empowering Text-to-Image Models with the Principles of Art. CoRR abs/2503.12018 (2025)
[i367]Xiaohao Liu, Xiaobo Xia, See-Kiong Ng, Tat-Seng Chua:
Continual Multimodal Contrastive Learning. CoRR abs/2503.14963 (2025)
[i366]Shengqiong Wu, Hao Fei, Tat-Seng Chua:
Universal Scene Graph Generation. CoRR abs/2503.15005 (2025)
[i365]Shengqiong Wu, Hao Fei, Jingkang Yang, Xiangtai Li, Juncheng Li, Hanwang Zhang, Tat-Seng Chua:
Learning 4D Panoptic Scene Graph Generation from Rich 2D Visual Scene. CoRR abs/2503.15019 (2025)
[i364]Yanchen Luo, Zhiyuan Liu, Yi Zhao, Sihang Li, Kenji Kawaguchi, Tat-Seng Chua, Xiang Wang:
Towards Unified Latent Space for 3D Molecular Latent Diffusion Modeling. CoRR abs/2503.15567 (2025)
[i363]Zhenglin Zhou, Fan Ma, Hehe Fan, Tat-Seng Chua:
Zero-1-to-A: Zero-Shot One Image to Animatable Head Avatars Using Video Diffusion. CoRR abs/2503.15851 (2025)
[i362]Weixiang Zhao, Xingyu Sui, Jiahe Guo
, Yulin Hu, Yang Deng, Yanyan Zhao, Bing Qin
, Wanxiang Che, Tat-Seng Chua, Ting Liu:
Trade-offs in Large Reasoning Models: An Empirical Analysis of Deliberative and Adaptive Reasoning over Foundational Capabilities. CoRR abs/2503.17979 (2025)
[i361]Bingchen Miao, Yang Wu, Minghe Gao, Qifan Yu, Wendong Bu, Wenqiao Zhang, Yunfei Li, Siliang Tang
, Tat-Seng Chua, Juncheng Li:
Boosting Virtual Agent Learning and Reasoning: A Step-wise, Multi-dimensional, and Generalist Reward Model with Benchmark. CoRR abs/2503.18665 (2025)
[i360]Hongru Cai, Yongqi Li, Ruifeng Yuan, Wenjie Wang
, Zhen Zhang, Wenjie Li, Tat-Seng Chua:
Exploring Training and Inference Scaling Laws in Generative Retrieval. CoRR abs/2503.18941 (2025)
[i359]Kai Liu, Wei Li, Lai Chen, Shengqiong Wu, Yanhao Zheng, Jiayi Ji, Fan Zhou, Rongxin Jiang, Jiebo Luo
, Hao Fei, Tat-Seng Chua:
JavisDiT: Joint Audio-Video Diffusion Transformer with Hierarchical Spatio-Temporal Prior Synchronization. CoRR abs/2503.23377 (2025)
[i358]Shengqiong Wu, Weicai Ye, Jiahao Wang, Quande Liu, Xintao Wang, Pengfei Wan, Di Zhang, Kun Gai, Shuicheng Yan, Hao Fei, Tat-Seng Chua:
Any2Caption:Interpreting Any Condition to Caption for Controllable Video Generation. CoRR abs/2503.24379 (2025)
[i357]Tu Ao, Yanhua Yu, Yuling Wang, Yang Deng, Zirui Guo, Liang Pang, Pinghui Wang, Tat-Seng Chua, Xiao Zhang, Zhen Cai:
LightPROF: A Lightweight Reasoning Framework for Large Language Model on Knowledge Graph. CoRR abs/2504.03137 (2025)
[i356]Minghe Gao, Xuqi Liu, Zhongqi Yue, Yang Wu, Shuang Chen, Juncheng Li, Siliang Tang
, Fei Wu, Tat-Seng Chua, Yueting Zhuang:
Benchmarking Multimodal CoT Reward Model Stepwise by Visual Program. CoRR abs/2504.06606 (2025)
[i355]Xiaohao Liu, Teng Tu, Yunshan Ma, Tat-Seng Chua:
Extending Visual Dynamics for Video-to-Music Generation. CoRR abs/2504.07594 (2025)
[i354]Kaixin Li, Ziyang Meng, Hongzhan Lin, Ziyang Luo, Yuchen Tian, Jing Ma, Zhiyong Huang, Tat-Seng Chua:
ScreenSpot-Pro: GUI Grounding for Professional High-Resolution Computer Use. CoRR abs/2504.07981 (2025)
[i353]Junfeng Fang, Yukai Wang, Ruipeng Wang, Zijun Yao, Kun Wang, An Zhang, Xiang Wang, Tat-Seng Chua:
SafeMLRM: Demystifying Safety in Multi-modal Large Reasoning Models. CoRR abs/2504.08813 (2025)
[i352]Haokai Ma, Yunshan Ma, Ruobing Xie, Lei Meng
, Jialie Shen, Xingwu Sun, Zhanhui Kang, Tat-Seng Chua:
Large Language Model Empowered Recommendation Meets All-domain Continual Pre-Training. CoRR abs/2504.08949 (2025)
[i351]Weixiang Zhao, Jiahe Guo, Yulin Hu, Yang Deng, An Zhang, Xingyu Sui, Xinyang Han, Yanyan Zhao, Bing Qin
, Tat-Seng Chua, Ting Liu:
AdaSteer: Your Aligned LLM is Inherently an Adaptive Jailbreak Defender. CoRR abs/2504.09466 (2025)
[i350]Jiajie Su, Qiyong Zhong, Yunshan Ma, Yuwei Liu, Chao-Chao Chen, Xiaolin Zheng, Jianwei Yin, Tat-Seng Chua:
Distilling Transitional Pattern to Large Language Models for Multimodal Session-based Recommendation. CoRR abs/2504.10538 (2025)
[i349]Xiaoyan Zhao, Yang Deng, Wenjie Wang
, Hongzhan Lin, Hong Cheng, Rui Zhang, See-Kiong Ng, Tat-Seng Chua:
Exploring the Impact of Personality Traits on Conversational Recommender Systems: A Simulation with Large Language Models. CoRR abs/2504.12313 (2025)
[i348]Haoxuan Li, Yi Bin, Yunshan Ma, Guoyin Wang, Yang Yang, See-Kiong Ng, Tat-Seng Chua:
SemCORE: A Semantic-Enhanced Generative Cross-Modal Retrieval Framework with MLLMs. CoRR abs/2504.13172 (2025)
[i347]Chen Xu, Jujia Zhao, Wenjie Wang
, Liang Pang, Jun Xu, Tat-Seng Chua, Maarten de Rijke:
Understanding Accuracy-Fairness Trade-offs in Re-ranking through Elasticity in Economics. CoRR abs/2504.14991 (2025)
[i346]Ji Qi, Yuan Yao, Yushi Bai, Bin Xu, Juanzi Li, Zhiyuan Liu, Tat-Seng Chua:
An LMM for Efficient Video Understanding via Reinforced Compression of Video Cubes. CoRR abs/2504.15270 (2025)
[i345]Yiyan Xu, Wuqiang Zheng, Wenjie Wang
, Fengbin Zhu, Xinting Hu, Yang Zhang
, Fuli Feng, Tat-Seng Chua:
DRC: Enhancing Personalized Image Generation via Disentangled Representation Composition. CoRR abs/2504.17349 (2025)
[i344]Yixin Cao, Shibo Hong, Xinze Li, Jiahao Ying, Yubo Ma, Haiyuan Liang, Yantao Liu, Zijun Yao, Xiaozhi Wang, Dan Huang, Wenxuan Zhang, Lifu Huang, Muhao Chen, Lei Hou, Qianru Sun, Xingjun Ma, Zuxuan Wu, Min-Yen Kan, David Lo, Qi Zhang, Heng Ji, Jing Jiang, Juanzi Li, Aixin Sun, Xuanjing Huang
, Tat-Seng Chua, Yu-Gang Jiang:
Toward Generalizable Evaluation in the LLM Era: A Survey Beyond Benchmarks. CoRR abs/2504.18838 (2025)
[i343]Hao Fei, Yuan Zhou, Juncheng Li, Xiangtai Li, Qingshan Xu, Bobo Li, Shengqiong Wu, Yaoting Wang, Junbao Zhou, Jiahao Meng, Qingyu Shi, Zhiyuan Zhou, Liangtao Shi, Minghe Gao, Daoan Zhang, Zhiqi Ge, Weiming Wu, Siliang Tang, Kaihang Pan, Yaobo Ye, Haobo Yuan, Tao Zhang, Tianjie Ju, Zixiang Meng, Shilin Xu, Liyu Jia, Wentao Hu, Meng Luo
, Jiebo Luo
, Tat-Seng Chua, Shuicheng Yan, Hanwang Zhang:
On Path to Multimodal Generalist: General-Level and General-Bench. CoRR abs/2505.04620 (2025)
[i342]Sunhao Dai, Wenjie Wang
, Liang Pang, Jun Xu, See-Kiong Ng, Ji-Rong Wen, Tat-Seng Chua:
NExT-Search: Rebuilding User Feedback Ecosystem for Generative AI Search. CoRR abs/2505.14680 (2025)
[i341]Weixiang Zhao, Jiahe Guo
, Yang Deng, Tongtong Wu, Wenxuan Zhang, Yulin Hu, Xingyu Sui, Yanyan Zhao, Wanxiang Che, Bing Qin, Tat-Seng Chua, Ting Liu:
When Less Language is More: Language-Reasoning Disentanglement Makes LLMs Better Multilingual Reasoners. CoRR abs/2505.15257 (2025)
[i340]Weixiang Zhao, Yulin Hu, Yang Deng, Tongtong Wu, Wenxuan Zhang, Jiahe Guo, An Zhang, Yanyan Zhao, Bing Qin
, Tat-Seng Chua, Ting Liu:
MPO: Multilingual Safety Alignment via Reward Gap Optimization. CoRR abs/2505.16869 (2025)
[i339]Xiaohao Liu, Xiaobo Xia, Weixiang Zhao, Manyi Zhang, Xianzhi Yu, Xiu Su, Shuo Yang, See-Kiong Ng, Tat-Seng Chua:
L-MTP: Leap Multi-Token Prediction Beyond Adjacent Context for Large Language Models. CoRR abs/2505.17505 (2025)
[i338]Yang Zhang
, Wenxin Xu, Xiaoyan Zhao, Wenjie Wang
, Fuli Feng, Xiangnan He, Tat-Seng Chua:
Reinforced Latent Reasoning for LLM-based Recommendation. CoRR abs/2505.19092 (2025)
[i337]Zijun Yao, Yantao Liu, Yanxu Chen, Jianhui Chen, Junfeng Fang, Lei Hou, Juanzi Li, Tat-Seng Chua:
Are Reasoning Models More Prone to Hallucination? CoRR abs/2505.23646 (2025)
[i336]Jisheng Dang, Jingze Wu, Teng Wang, Xuanhui Lin, Nannan Zhu, Hongbo Chen, Wei-Shi Zheng, Meng Wang, Tat-Seng Chua:
Reinforcing Video Reasoning with Focused Thinking. CoRR abs/2505.24718 (2025)
[i335]Long Bai, Zixuan Li, Xiaolong Jin, Jiafeng Guo, Xueqi Cheng, Tat-Seng Chua:
G2S: A General-to-Specific Learning Framework for Temporal Knowledge Graph Forecasting with Large Language Models. CoRR abs/2506.00445 (2025)
[i334]Xiaoyan Zhao, Juntao You, Yang Zhang
, Wenjie Wang
, Hong Cheng, Fuli Feng, See-Kiong Ng, Tat-Seng Chua:
NextQuill: Causal Preference Modeling for Enhancing LLM Personalization. CoRR abs/2506.02368 (2025)
[i333]Yangyang Zhong, Ji Qi, Yuan Yao, Pengxin Luo, Yunfeng Yan, Donglian Qi, Zhiyuan Liu, Tat-Seng Chua:
TextVidBench: A Benchmark for Long Video Scene Text Understanding. CoRR abs/2506.04983 (2025)
[i332]Leheng Sheng, Changshuo Shen, Weixiang Zhao, Junfeng Fang, Xiaohao Liu, Zhenkai Liang, Xiang Wang, An Zhang, Tat-Seng Chua:
AlphaSteer: Learning Refusal Steering with Principled Null-Space Constraint. CoRR abs/2506.07022 (2025)
[i331]Jingnan Zheng, Xiangtian Ji, Yijun Lu, Chenhang Cui, Weixiang Zhao, Gelei Deng, Zhenkai Liang, An Zhang, Tat-Seng Chua:
RSafe: Incentivizing proactive reasoning to build robust and adaptive LLM safeguards. CoRR abs/2506.07736 (2025)
[i330]Leheng Sheng, An Zhang, Zijian Wu, Weixiang Zhao, Changshuo Shen, Yi Zhang, Xiang Wang, Tat-Seng Chua:
On Reasoning Strength Planning in Large Reasoning Models. CoRR abs/2506.08390 (2025)
[i329]Yuxin Chen, Yiran Zhao, Yang Zhang
, An Zhang, Kenji Kawaguchi, Shafiq Joty, Junnan Li, Tat-Seng Chua, Michael Qizhe Shieh, Wenxuan Zhang:
The Emergence of Abstract Thought in Large Language Models Beyond Any Language. CoRR abs/2506.09890 (2025)
[i328]Jianwu Fang, Lei-Lei Li, Zhedong Zheng, Hongkai Yu, Jianru Xue, Zhengguo Li, Tat-Seng Chua:
EQ-TAA: Equivariant Traffic Accident Anticipation via Diffusion-Based Accident Video Synthesis. CoRR abs/2506.10002 (2025)
[i327]Leigang Qu, Feng Cheng, Ziyan Yang, Qi Zhao, Shanchuan Lin, Yichun Shi, Yicong Li, Wenjie Wang
, Tat-Seng Chua, Lu Jiang:
VINCIE: Unlocking In-context Image Editing from Video. CoRR abs/2506.10941 (2025)
[i326]Zijie Lin, Yang Zhang
, Xiaoyan Zhao, Fengbin Zhu, Fuli Feng, Tat-Seng Chua:
IGD: Token Decisiveness Modeling via Information Gain in LLMs for Personalized Recommendation. CoRR abs/2506.13229 (2025)
[i325]Junfeng Fang, Zijun Yao, Ruipeng Wang, Haokai Ma, Xiang Wang, Tat-Seng Chua:
We Should Identify and Mitigate Third-Party Safety Risks in MCP-Powered Agent Systems. CoRR abs/2506.13666 (2025)
[i324]Kangkang Lu, Yanhua Yu, Zhiyong Huang, Tat-Seng Chua:
Can Large Language Models Improve Spectral Graph Neural Networks? CoRR abs/2506.14220 (2025)
[i323]Weixiang Zhao, Jiahe Guo
, Yang Deng, Xingyu Sui, Yulin Hu, Yanyan Zhao, Wanxiang Che, Bing Qin, Tat-Seng Chua, Ting Liu:
Exploring and Exploiting the Inherent Efficiency within Large Reasoning Models for Self-Guided Efficiency Enhancement. CoRR abs/2506.15647 (2025)
[i322]Xinting Liao, Weiming Liu, Jiaming Qian
, Pengyang Zhou, Jiahe Xu, Wenjie Wang
, Chao-Chao Chen, Xiaolin Zheng, Tat-Seng Chua:
FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models. CoRR abs/2506.16218 (2025)
[i321]Jisheng Dang, Huilin Song, Junbin Xiao, Bimei Wang, Han Peng, Haoxuan Li, Xun Yang, Meng Wang, Tat-Seng Chua:
MUPA: Towards Multi-Path Agentic Reasoning for Grounded Video Question Answering. CoRR abs/2506.18071 (2025)
[i320]Tianyu Yu, Bo Ji, Shouli Wang, Shu Yao, Zefan Wang, Ganqu Cui, Lifan Yuan, Ning Ding, Yuan Yao, Zhiyuan Liu, Maosong Sun, Tat-Seng Chua:
RLPR: Extrapolating RLVR to General Domains without Verifiers. CoRR abs/2506.18254 (2025)
[i319]Yingzhi He, Xiaohao Liu, An Zhang, Yunshan Ma, Tat-Seng Chua:
LLM2Rec: Large Language Models Are Powerful Embedding Models for Sequential Recommendation. CoRR abs/2506.21579 (2025)
[i318]Lei-Lei Li, Jianwu Fang, Junbin Xiao, Shanmin Pang, Hongkai Yu, Chen Lv, Jianru Xue, Tat-Seng Chua:
Causal-Entity Reflected Egocentric Traffic Accident Video Synthesis. CoRR abs/2506.23263 (2025)
[i317]Chaoqun Yang, Xinyu Lin, Wenjie Wang
, Yongqi Li, Teng Sun, Xianjing Han, Tat-Seng Chua:
EARN: Efficient Inference Acceleration for LLM-based Generative Recommendation by Register Tokens. CoRR abs/2507.00715 (2025)
[i316]Honghui Bao, Wenjie Wang
, Xilin Chen, Fengbin Zhu, Teng Sun, Fuli Feng, Tat-Seng Chua:
Heterogeneous User Modeling for LLM-based Recommendation. CoRR abs/2507.04626 (2025)
[i315]Yimeng Bai, Yang Zhang
, Sihao Ding, Shaohui Ruan, Han Yao, Danhui Guan, Fuli Feng, Tat-Seng Chua:
Unconditional Diffusion for Generative Sequential Recommendation. CoRR abs/2507.06121 (2025)
[i314]Ziang Ye, Yang Zhang
, Wentao Shi, Xiaoyu You, Fuli Feng, Tat-Seng Chua:
VisualTrap: A Stealthy Backdoor Attack on GUI Agents via Visual Grounding Manipulation. CoRR abs/2507.06899 (2025)
[i313]Xiao Liang, Di Wang, Zhicheng Jiao, Ronghan Li, Pengfei Yang, Quan Wang, Tat-Seng Chua:
Uncertainty-Driven Expert Control: Enhancing the Reliability of Medical Vision-Language Models. CoRR abs/2507.09209 (2025)
[i312]Xiaohao Liu, Xiaobo Xia, See-Kiong Ng, Tat-Seng Chua:
Principled Multimodal Representation Learning. CoRR abs/2507.17343 (2025)
[i311]Yuchen Zhou, Jiayu Tang, Shuo Yang, Xiaoyan Xiao, Yuqin Dai, Wenhao Yang, Chao Gou, Xiaobo Xia, Tat-Seng Chua:
Logic Unseen: Revealing the Logical Blindspots of Vision-Language Models. CoRR abs/2508.11317 (2025)
[i310]Chengbing Wang, Yang Zhang
, Zhicheng Wang, Tianhao Shi, Keqin Bao, Fuli Feng, Tat-Seng Chua:
Decoding in Latent Spaces for Efficient Inference in LLM-based Recommendation. CoRR abs/2509.11524 (2025)
[i309]Xiaoyan Zhao, Ming Yan, Yang Zhang
, Yang Deng, Jian Wang, Fengbin Zhu, Yilun Qiu, Hong Cheng, Tat-Seng Chua:
Reinforced Strategy Optimization for Conversational Recommender Systems via Network-of-Experts. CoRR abs/2509.26093 (2025)
[i308]Leigang Qu, Ziyang Wang, Na Zheng, Wenjie Wang
, Liqiang Nie, Tat-Seng Chua:
TTOM: Test-Time Optimization and Memorization for Compositional Video Generation. CoRR abs/2510.07940 (2025)
[i307]Run Luo, Xiaobo Xia, Lu Wang, Longze Chen, Renke Shan, Jing Luo, Min Yang, Tat-Seng Chua:
NExT-OMNI: Towards Any-to-Any Omnimodal Foundation Models with Discrete Flow Matching. CoRR abs/2510.13721 (2025)
[i306]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:
FinDeepResearch: Evaluating Deep Research Agents in Rigorous Financial Analysis. CoRR abs/2510.13936 (2025)
[i305]Xiaoyan Zhao, Ming Yan, Yilun Qiu, Haoting Ni, Yang Zhang
, Fuli Feng, Hong Cheng, Tat-Seng Chua:
SteerX: Disentangled Steering for LLM Personalization. CoRR abs/2510.22256 (2025)
[i304]Siyin Wang, Jinlan Fu, Feihong Liu, Xinzhe He, Huangxuan Wu, Junhao Shi, Kexin Huang, Zhaoye Fei, Jingjing Gong, Zuxuan Wu, Yu-Gang Jiang, See-Kiong Ng, Tat-Seng Chua, Xipeng Qiu:
RoboOmni: Proactive Robot Manipulation in Omni-modal Context. CoRR abs/2510.23763 (2025)
[i303]Kelvin J. L. Koa, Jan Chen, Yunshan Ma, Huanhuan Zheng, Tat-Seng Chua:
Reasoning on Time-Series for Financial Technical Analysis. CoRR abs/2511.08616 (2025)
[i302]Wei Chow, Jiachun Pan, Yongyuan Liang, Mingze Zhou, Xue Song, Liyu Jia, Saining Zhang, Siliang Tang, Juncheng Li, Fengda Zhang, Weijia Wu, Hanwang Zhang, Tat-Seng Chua:
WEAVE: Unleashing and Benchmarking the In-context Interleaved Comprehension and Generation. CoRR abs/2511.11434 (2025)
[i301]Xiaohao Liu, Xiaobo Xia, Jiaheng Wei, Shuo Yang, Xiu Su, See-Kiong Ng, Tat-Seng Chua:
Calibrated Multimodal Representation Learning with Missing Modalities. CoRR abs/2511.12034 (2025)
[i300]Chuancheng Shi, Shangze Li, Shiming Guo, Simiao Xie, Wenhua Wu, Jingtong Dou, Chao Wu, Canran Xiao, Cong Wang, Zifeng Cheng, Fei Shen
, Tat-Seng Chua:
Where Culture Fades: Revealing the Cultural Gap in Text-to-Image Generation. CoRR abs/2511.17282 (2025)
[i299]Dapeng Zhang, Zhenlong Yuan, Zhangquan Chen, Chih-Ting Liao, Yinda Chen, Fei Shen, Qingguo Zhou, Tat-Seng Chua:
Reasoning-VLA: A Fast and General Vision-Language-Action Reasoning Model for Autonomous Driving. CoRR abs/2511.19912 (2025)
[i298]Shengqiong Wu, Weicai Ye, Yuanxing Zhang, Jiahao Wang, Quande Liu, Xintao Wang, Pengfei Wan, Kun Gai, Hao Fei, Tat-Seng Chua:
A Reason-then-Describe Instruction Interpreter for Controllable Video Generation. CoRR abs/2511.20563 (2025)
[i297]Zhenglin Zhou, Fan Ma, Chengzhuo Gui, Xiaobo Xia, Hehe Fan, Yi Yang, Tat-Seng Chua:
AnchorFlow: Training-Free 3D Editing via Latent Anchor-Aligned Flows. CoRR abs/2511.22357 (2025)
[i296]Zhenglin Zhou, Fan Ma, Xiaobo Xia, Hehe Fan, Yi Yang, Tat-Seng Chua:
ITS3D: Inference-Time Scaling for Text-Guided 3D Diffusion Models. CoRR abs/2511.22456 (2025)
[i295]Leyang Shen, Yang Zhang
, Chun Kai Ling, Xiaoyan Zhao, Tat-Seng Chua:
CARL: Critical Action Focused Reinforcement Learning for Multi-Step Agent. CoRR abs/2512.04949 (2025)
[i294]Chengbing Wang, Yang Zhang
, Wenjie Wang
, Xiaoyan Zhao, Fuli Feng, Xiangnan He, Tat-Seng Chua:
Think-While-Generating: On-the-Fly Reasoning for Personalized Long-Form Generation. CoRR abs/2512.06690 (2025)
[i293]Kai Liu, Jungang Li, Yuchong Sun, Shengqiong Wu, Jianzhang Gao, Daoan Zhang, Wei Zhang, Sheng Jin, Sicheng Yu, Geng Zhan, Jiayi Ji, Fan Zhou, Liang Zheng, Shuicheng Yan, Hao Fei, Tat-Seng Chua:
JavisGPT: A Unified Multi-modal LLM for Sounding-Video Comprehension and Generation. CoRR abs/2512.22905 (2025)- 2024
[j206]Yuan Yao, Ao Zhang, Zhengyan Zhang
, Zhiyuan Liu
, Tat-Seng Chua, Maosong Sun:
CPT: Colorful Prompt Tuning for pre-trained vision-language models. AI Open 5: 30-38 (2024)
[j205]Yujuan Ding
, Zhihui Lai
, P. Y. Mok
, Tat-Seng Chua
:
Computational Technologies for Fashion Recommendation: A Survey. ACM Comput. Surv. 56(5): 121:1-121:45 (2024)
[j204]Ang Ma, Yanhua Yu, Chuan Shi, Zirui Guo, Tat-Seng Chua
:
Cross-view hypergraph contrastive learning for attribute-aware recommendation. Inf. Process. Manag. 61(4): 103701 (2024)
[j203]Yongduo Sui, Xiang Wang, Tianlong Chen, Meng Wang, Xiangnan He, Tat-Seng Chua:
Inductive Lottery Ticket Learning for Graph Neural Networks. J. Comput. Sci. Technol. 39(6): 1223-1237 (2024)
[j202]Hao Fei
, Shengqiong Wu
, Meishan Zhang
, Min Zhang
, Tat-Seng Chua
, Shuicheng Yan
:
Enhancing Video-Language Representations With Structural Spatio-Temporal Alignment. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 7701-7719 (2024)
[j201]Tingyu Wang, Zhedong Zheng
, Yaoqi Sun, Chenggang Yan, Yi Yang, Tat-Seng Chua:
Multiple-environment Self-adaptive Network for aerial-view geo-localization. Pattern Recognit. 152: 110363 (2024)
[j200]Tat-Seng Chua, Chong-Wah Ngo, Ravi Kumar, Hady W. Lauw:
Report on the 33rd The ACM Web Conference (WWW 2024). SIGIR Forum 58(2): 1-8 (2024)
[j199]Tat-Seng Chua, Chong-Wah Ngo, Ravi Kumar, Hady W. Lauw, Dick C. A. Bulterman:
The ACM Web Conference 2024 Report. SIGWEB Newsl. 2024(Summer): 1-5 (2024)
[j198]Jingyun Xu
, Jiayuan Xie
, Yi Cai
, Zehang Lin
, Ho-fung Leung
, Qing Li
, Tat-Seng Chua
:
Context-Aware Dynamic Word Embeddings for Aspect Term Extraction. IEEE Trans. Affect. Comput. 15(1): 144-156 (2024)
[j197]Jianwu Fang
, Fan Wang, Jianru Xue
, Tat-Seng Chua
:
Behavioral Intention Prediction in Driving Scenes: A Survey. IEEE Trans. Intell. Transp. Syst. 25(8): 8334-8355 (2024)
[j196]Yongduo Sui
, Wenyu Mao
, Shuyao Wang
, Xiang Wang
, Jiancan Wu
, Xiangnan He
, Tat-Seng Chua
:
Enhancing Out-of-distribution Generalization on Graphs via Causal Attention Learning. ACM Trans. Knowl. Discov. Data 18(5): 127:1-127:24 (2024)
[j195]Shengyu Zhang
, Ziqi Jiang
, Jiangchao Yao
, Fuli Feng
, Kun Kuang
, Zhou Zhao
, Shuo Li
, Hongxia Yang
, Tat-Seng Chua
, Fei Wu
:
Causal Distillation for Alleviating Performance Heterogeneity in Recommender Systems. IEEE Trans. Knowl. Data Eng. 36(2): 459-474 (2024)
[j194]Yinwei Wei
, Xiaoyang Qu
, Xiang Wang
, Yunshan Ma
, Liqiang Nie
, Tat-Seng Chua
:
Rule-Guided Counterfactual Explainable Recommendation. IEEE Trans. Knowl. Data Eng. 36(5): 2179-2190 (2024)
[j193]Xun Deng
, Fuli Feng
, Xiang Wang
, Xiangnan He, Hanwang Zhang, Tat-Seng Chua
:
Learning to Double-Check Model Prediction From a Causal Perspective. IEEE Trans. Neural Networks Learn. Syst. 35(4): 5054-5063 (2024)
[j192]Wenjie Wang
, Xinyu Lin
, Liuhui Wang
, Fuli Feng
, Yunshan Ma
, Tat-Seng Chua
:
Causal Disentangled Recommendation against User Preference Shifts. ACM Trans. Inf. Syst. 42(1): 12:1-12:27 (2024)
[j191]Shengyu Zhang
, Tan Jiang
, Kun Kuang
, Fuli Feng
, Jin Yu
, Jianxin Ma
, Zhou Zhao
, Jianke Zhu
, Hongxia Yang
, Tat-Seng Chua
, Fei Wu
:
SLED: Structure Learning based Denoising for Recommendation. ACM Trans. Inf. Syst. 42(2): 43:1-43:31 (2024)
[j190]Han Liu
, Yinwei Wei, Fan Liu, Wenjie Wang
, Liqiang Nie, Tat-Seng Chua:
Dynamic Multimodal Fusion via Meta-Learning Towards Micro-Video Recommendation. ACM Trans. Inf. Syst. 42(2): 47:1-47:26 (2024)
[j189]An Zhang, Wenchang Ma, Jingnan Zheng, Xiang Wang, Tat-Seng Chua:
Robust Collaborative Filtering to Popularity Distribution Shift. ACM Trans. Inf. Syst. 42(3): 80:1-80:25 (2024)
[j188]Yunshan Ma
, Yingzhi He
, Xiang Wang
, Yinwei Wei
, Xiaoyu Du
, Yuyangzi Fu
, Tat-Seng Chua
:
MultiCBR: Multi-view Contrastive Learning for Bundle Recommendation. ACM Trans. Inf. Syst. 42(4): 100:1-100:23 (2024)
[j187]Jun Li
, Yi Bin
, Yunshan Ma
, Yang Yang
, Zi Huang
, Tat-Seng Chua
:
Filter-based Stance Network for Rumor Verification. ACM Trans. Inf. Syst. 42(4): 108:1-108:28 (2024)
[j186]Yujia Zhou
, Jing Yao
, Zhicheng Dou
, Yiteng Tu
, Ledell Wu
, Tat-Seng Chua
, Ji-Rong Wen
:
ROGER: Ranking-Oriented Generative Retrieval. ACM Trans. Inf. Syst. 42(6): 155:1-155:25 (2024)
[j185]Jingyun Xu
, Junnan Yu
, Yi Cai
, Tat-Seng Chua
:
Dual Contrastive Learning for Cross-Domain Named Entity Recognition. ACM Trans. Inf. Syst. 42(6): 163:1-163:33 (2024)
[c567]Xinyu Lin, Wenjie Wang
, Jujia Zhao, Yongqi Li, Fuli Feng, Tat-Seng Chua:
Temporally and Distributionally Robust Optimization for Cold-Start Recommendation. AAAI 2024: 8750-8758
[c566]Kangkang Lu, Yanhua Yu, Hao Fei, Xuan Li, Zixuan Yang, Zirui Guo, Meiyu Liang, Mengran Yin, Tat-Seng Chua:
Improving Expressive Power of Spectral Graph Neural Networks with Eigenvalue Correction. AAAI 2024: 14158-14166
[c565]Luzhi Wang, Dongxiao He, He Zhang
, Yixin Liu, Wenjie Wang
, Shirui Pan, Di Jin, Tat-Seng Chua:
GOODAT: Towards Test-Time Graph Out-of-Distribution Detection. AAAI 2024: 15537-15545
[c564]Hao Fei, Meishan Zhang, Min Zhang, Tat-Seng Chua:
XNLP: An Interactive Demonstration System for Universal Structured NLP. ACL (3) 2024: 19-30
[c563]Zhihan Zhang
, Yixin Cao, Chenchen Ye, Yunshan Ma
, Lizi Liao
, Tat-Seng Chua:
Analyzing Temporal Complex Events with Large Language Models? A Benchmark towards Temporal, Long Context Understanding. ACL (1) 2024: 1588-1606
[c562]Zhiyuan Liu, Yaorui Shi
, An Zhang, Sihang Li, Enzhi Zhang
, Xiang Wang, Kenji Kawaguchi, Tat-Seng Chua:
ReactXT: Understanding Molecular "Reaction-ship" via Reaction-Contextualized Molecule-Text Pretraining. ACL (Findings) 2024: 5353-5377
[c561]Zhiyuan Liu, An Zhang, Hao Fei, Enzhi Zhang
, Xiang Wang, Kenji Kawaguchi, Tat-Seng Chua:
ProtT3: Protein-to-Text Generation for Text-based Protein Understanding. ACL (1) 2024: 5949-5966
[c560]Haohao Luo, Yang Deng, Ying Shen, See-Kiong Ng, Tat-Seng Chua:
Chain-of-Exemplar: Enhancing Distractor Generation for Multimodal Educational Question Generation. ACL (1) 2024: 7978-7993
[c559]Yang Deng, Xuan Zhang
, Wenxuan Zhang, Yifei Yuan, See-Kiong Ng, Tat-Seng Chua:
On the Multi-turn Instruction Following for Conversational Web Agents. ACL (1) 2024: 8795-8812
[c558]Yue Chen, Chen Huang, Yang Deng, Wenqiang Lei, Dingnan Jin, Jia Liu, Tat-Seng Chua:
STYLE: Improving Domain Transferability of Asking Clarification Questions in Large Language Model Powered Conversational Agents. ACL (Findings) 2024: 10633-10649
[c557]Tong Zhang, Peixin Qin, Yang Deng, Chen Huang, Wenqiang Lei, Junhong Liu, Dingnan Jin, Hongru Liang, Tat-Seng Chua:
CLAMBER: A Benchmark of Identifying and Clarifying Ambiguous Information Needs in Large Language Models. ACL (1) 2024: 10746-10766
[c556]Yongqi Li, Zhen Zhang, Wenjie Wang
, Liqiang Nie, Wenjie Li, Tat-Seng Chua:
Distillation Enhanced Generative Retrieval. ACL (Findings) 2024: 11119-11129
[c555]Yongqi Li, Wenjie Wang
, Leigang Qu, Liqiang Nie, Wenjie Li, Tat-Seng Chua:
Generative Cross-Modal Retrieval: Memorizing Images in Multimodal Language Models for Retrieval and Beyond. ACL (1) 2024: 11851-11861
[c554]Wenjie Wang
, Honghui Bao
, Xinyu Lin
, Jizhi Zhang
, Yongqi Li
, Fuli Feng
, See-Kiong Ng
, Tat-Seng Chua
:
Learnable Item Tokenization for Generative Recommendation. CIKM 2024: 2400-2409
[c553]Fengbin Zhu, Chao Wang, Fuli Feng, Zifeng Ren, Moxin Li, Tat-Seng Chua:
Doc2SoarGraph: Discrete Reasoning over Visually-Rich Table-Text Documents via Semantic-Oriented Hierarchical Graphs. LREC/COLING 2024: 5119-5131
[c552]Leigang Qu, Wenjie Wang
, Yongqi Li, Hanwang Zhang, Liqiang Nie, Tat-Seng Chua:
Discriminative Probing and Tuning for Text-to-Image Generation. CVPR 2024: 7434-7444
[c551]Hao Fei, Shengqiong Wu, Wei Ji, Hanwang Zhang, Tat-Seng Chua:
Dysen-VDM: Empowering Dynamics-Aware Text-to-Video Diffusion with LLMs. CVPR 2024: 7641-7653
[c550]Junbin Xiao, Angela Yao, Yicong Li, Tat-Seng Chua:
Can I Trust Your Answer? Visually Grounded Video Question Answering. CVPR 2024: 13204-13214
[c549]Yicong Li, Na Zhao
, Junbin Xiao, Chun Feng, Xiang Wang, Tat-Seng Chua:
LASO: Language-Guided Affordance Segmentation on 3D Object. CVPR 2024: 14251-14260
[c548]Jianwu Fang, Lei-Lei Li, Junfei Zhou, Junbin Xiao, Hongkai Yu, Chen Lv, Jianru Xue, Tat-Seng Chua:
Abductive Ego-View Accident Video Understanding for Safe Driving Perception. CVPR 2024: 22030-22040
[c547]Zixuan Yang, Xiao Wang
, Yanhua Yu, Yuling Wang, Kangkang Lu, Zirui Guo, Xiting Qin, Yunshan Ma
, Tat-Seng Chua:
Hop-based Heterogeneous Graph Transformer. ECAI 2024: 2346-2353
[c546]An Zhang
, Han Wang
, Xiang Wang
, Tat-Seng Chua
:
Disentangling Masked Autoencoders for Unsupervised Domain Generalization. ECCV (70) 2024: 126-151
[c545]Meng Chu
, Zhedong Zheng
, Wei Ji
, Tingyu Wang
, Tat-Seng Chua
:
Towards Natural Language-Guided Drones: GeoText-1652 Benchmark with Spatial Relation Matching. ECCV (11) 2024: 213-231
[c544]Zonghao Guo
, Ruyi Xu
, Yuan Yao
, Junbo Cui
, Zanlin Ni
, Chunjiang Ge
, Tat-Seng Chua, Zhiyuan Liu
, Gao Huang
:
LLaVA-UHD: An LMM Perceiving Any Aspect Ratio and High-Resolution Images. ECCV (83) 2024: 390-406
[c543]Tong Zhang, Chen Huang, Yang Deng, Hongru Liang, Jia Liu, Zujie Wen, Wenqiang Lei, Tat-Seng Chua:
Strength Lies in Differences! Improving Strategy Planning for Non-collaborative Dialogues via Diversified User Simulation. EMNLP 2024: 424-444
[c542]Peixin Qin, Chen Huang, Yang Deng, Wenqiang Lei, Tat-Seng Chua:
Beyond Persuasion: Towards Conversational Recommender System with Credible Explanations. EMNLP (Findings) 2024: 4264-4282
[c541]Chen Xu, Wenjie Wang
, Yuxin Li, Liang Pang, Jun Xu, Tat-Seng Chua:
A Study of Implicit Ranking Unfairness in Large Language Models. EMNLP (Findings) 2024: 7957-7970
[c540]Xuan Zhang
, Yang Deng, Zifeng Ren, See-Kiong Ng, Tat-Seng Chua:
Ask-before-Plan: Proactive Language Agents for Real-World Planning. EMNLP (Findings) 2024: 10836-10863
[c539]Moxin Li, Wenjie Wang
, Fuli Feng, Fengbin Zhu, Qifan Wang, Tat-Seng Chua:
Think Twice Before Trusting: Self-Detection for Large Language Models through Comprehensive Answer Reflection. EMNLP (Findings) 2024: 11858-11875
[c538]Yang Deng, Yong Zhao, Moxin Li, See-Kiong Ng, Tat-Seng Chua:
Don't Just Say "I don't know"! Self-aligning Large Language Models for Responding to Unknown Questions with Explanations. EMNLP 2024: 13652-13673
[c537]Fengbin Zhu
, Ziyang Liu
, Fuli Feng
, Chao Wang
, Moxin Li
, Tat-Seng Chua
:
TAT-LLM: A Specialized Language Model for Discrete Reasoning over Financial Tabular and Textual Data. ICAIF 2024: 310-318
[c536]Yang Deng, Wenxuan Zhang, Wai Lam, See-Kiong Ng, Tat-Seng Chua:
Plug-and-Play Policy Planner for Large Language Model Powered Dialogue Agents. ICLR 2024
[c535]Juncheng Li, Kaihang Pan, Zhiqi Ge, Minghe Gao, Wei Ji, Wenqiao Zhang, Tat-Seng Chua, Siliang Tang, Hanwang Zhang, Yueting Zhuang:
Fine-tuning Multimodal LLMs to Follow Zero-shot Demonstrative Instructions. ICLR 2024
[c534]Yiyang Chen, Zhedong Zheng, Wei Ji, Leigang Qu, Tat-Seng Chua:
Composed Image Retrieval with Text Feedback via Multi-grained Uncertainty Regularization. ICLR 2024
[c533]Sihang Li, Zhiyuan Liu
, Yanchen Luo, Xiang Wang, Xiangnan He, Kenji Kawaguchi, Tat-Seng Chua, Qi Tian:
Towards 3D Molecule-Text Interpretation in Language Models. ICLR 2024
[c532]Bosheng Qin, Juncheng Li, Siliang Tang
, Tat-Seng Chua, Yueting Zhuang:
InstructVid2Vid: Controllable Video Editing with Natural Language Instructions. ICME 2024: 1-6
[c531]Kaihang Pan, Siliang Tang, Juncheng Li, Zhaoyu Fan, Wei Chow, Shuicheng Yan, Tat-Seng Chua, Yueting Zhuang, Hanwang Zhang:
Auto-Encoding Morph-Tokens for Multimodal LLM. ICML 2024: 39308-39323
[c530]Long Qian, Juncheng Li, Yu Wu, Yaobo Ye, Hao Fei, Tat-Seng Chua, Yueting Zhuang, Siliang Tang:
Momentor: Advancing Video Large Language Model with Fine-Grained Temporal Reasoning. ICML 2024: 41340-41356
[c529]Shengqiong Wu, Hao Fei, Leigang Qu, Wei Ji, Tat-Seng Chua:
NExT-GPT: Any-to-Any Multimodal LLM. ICML 2024: 53366-53397
[c528]Ao Zhang, Yuan Yao, Wei Ji, Zhiyuan Liu, Tat-Seng Chua:
NExT-Chat: An LMM for Chat, Detection and Segmentation. ICML 2024: 60116-60133
[c527]Shasha Guo, Lizi Liao, Cuiping Li, Tat-Seng Chua:
A Survey on Neural Question Generation: Methods, Applications, and Prospects. IJCAI 2024: 8038-8047
[c526]Jingnan Zheng, Jiahao Liu, An Zhang, Jun Zeng, Ziqi Yang, Zhenkai Liang, Tat-Seng Chua:
MaskDroid: Robust Android Malware Detection with Masked Graph Representations. ASE 2024: 331-343
[c525]Xinyu Lin
, Wenjie Wang
, Yongqi Li
, Fuli Feng
, See-Kiong Ng
, Tat-Seng Chua
:
Bridging Items and Language: A Transition Paradigm for Large Language Model-Based Recommendation. KDD 2024: 1816-1826
[c524]Rebecca Salganik
, Xiaohao Liu
, Yunshan Ma
, Jian Kang
, Tat-Seng Chua
:
LARP: Language Audio Relational Pre-training for Cold-Start Playlist Continuation. KDD 2024: 2524-2535
[c523]Wenqi Fan
, Yujuan Ding
, Liangbo Ning
, Shijie Wang
, Hengyun Li
, Dawei Yin
, Tat-Seng Chua
, Qing Li
:
A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language Models. KDD 2024: 6491-6501
[c522]Yanhua Yu, Xiuxiu Cai, Ang Ma, Yimeng Ren, Shuai Zhen, Jie Li, Kangkang Lu, Zhiyong Huang, Tat-Seng Chua:
Adversary and Attention Guided Knowledge Graph Reasoning Based on Reinforcement Learning. KSEM (5) 2024: 3-16
[c521]Yanhua Yu, Yuanlong Wang, Yunshan Ma
, Jie Li, Kangkang Lu, Zhiyong Huang, Tat-Seng Chua:
EE-LCE: An Event Extraction Framework Based on LLM-Generated CoT Explanation. KSEM (1) 2024: 28-40
[c520]Mingzhe Yu
, Yunshan Ma
, Lei Wu
, Kai Cheng
, Xue Li
, Lei Meng
, Tat-Seng Chua
:
Smart Fitting Room: A One-stop Framework for Matching-aware Virtual Try-On. ICMR 2024: 184-192
[c519]Changmeng Zheng
, Dayong Liang
, Wengyu Zhang
, Xiaoyong Wei
, Tat-Seng Chua
, Qing Li
:
A Picture Is Worth a Graph: A Blueprint Debate Paradigm for Multimodal Reasoning. ACM Multimedia 2024: 419-428
[c518]Minghe Gao
, Shuang Chen
, Liang Pang
, Yuan Yao
, Jisheng Dang
, Wenqiao Zhang
, Juncheng Li
, Siliang Tang
, Yueting Zhuang
, Tat-Seng Chua
:
Fact : Teaching MLLMs with Faithful, Concise and Transferable Rationales. ACM Multimedia 2024: 846-855
[c517]Haoxuan Li
, Zhengmao Yang
, Yunshan Ma
, Yi Bin
, Yang Yang
, Tat-Seng Chua
:
MM-Forecast: A Multimodal Approach to Temporal Event Forecasting with Large Language Models. ACM Multimedia 2024: 2776-2785
[c516]Jiawei Wang
, Da Cao
, Shaofei Lu
, Zhanchang Ma
, Junbin Xiao
, Tat-Seng Chua
:
Causal-driven Large Language Models with Faithful Reasoning for Knowledge Question Answering. ACM Multimedia 2024: 4331-4340
[c515]Yunshan Ma
, Yingzhi He
, Wenjun Zhong
, Xiang Wang
, Roger Zimmermann
, Tat-Seng Chua
:
CIRP: Cross-Item Relational Pre-training for Multimodal Product Bundling. ACM Multimedia 2024: 9641-9649
[c514]Hao Fei, Shengqiong Wu, Hanwang Zhang, Tat-Seng Chua, Shuicheng Yan:
Vitron: A Unified Pixel-level Vision LLM for Understanding, Generating, Segmenting, Editing. NeurIPS 2024
[c513]Yuxin Chen, Junfei Tan, An Zhang, Zhengyi Yang, Leheng Sheng, Enzhi Zhang, Xiang Wang, Tat-Seng Chua:
On Softmax Direct Preference Optimization for Recommendation. NeurIPS 2024
[c512]Junfeng Fang, Zac Bi, Ruipeng Wang, Houcheng Jiang, Yuan Gao, Kun Wang, An Zhang, Jie Shi, Xiang Wang, Tat-Seng Chua:
Towards Neuron Attributions in Multi-Modal Large Language Models. NeurIPS 2024
[c511]Jingnan Zheng, Han Wang, An Zhang, Tai D. Nguyen, Jun Sun, Tat-Seng Chua:
ALI-Agent: Assessing LLMs' Alignment with Human Values via Agent-based Evaluation. NeurIPS 2024
[c510]Zirui Guo
, Yanhua Yu
, Yuling Wang
, Kangkang Lu
, Zixuan Yang
, Liang Pang
, Tat-Seng Chua
:
Information-Controllable Graph Contrastive Learning for Recommendation. RecSys 2024: 528-537
[c509]Haokun Wen
, Xuemeng Song
, Xiaolin Chen
, Yinwei Wei
, Liqiang Nie
, Tat-Seng Chua
:
Simple but Effective Raw-Data Level Multimodal Fusion for Composed Image Retrieval. SIGIR 2024: 229-239
[c508]Xinyu Lin
, Wenjie Wang
, Yongqi Li
, Shuo Yang
, Fuli Feng
, Yinwei Wei
, Tat-Seng Chua
:
Data-efficient Fine-tuning for LLM-based Recommendation. SIGIR 2024: 365-374
[c507]Yang Deng
, Lizi Liao
, Zhonghua Zheng
, Grace Hui Yang
, Tat-Seng Chua
:
Towards Human-centered Proactive Conversational Agents. SIGIR 2024: 807-818
[c506]Jujia Zhao
, Wenjie Wang
, Yiyan Xu
, Teng Sun
, Fuli Feng
, Tat-Seng Chua
:
Denoising Diffusion Recommender Model. SIGIR 2024: 1370-1379
[c505]Chen Xu
, Xiaopeng Ye
, Wenjie Wang
, Liang Pang
, Jun Xu
, Tat-Seng Chua
:
A Taxation Perspective for Fair Re-ranking. SIGIR 2024: 1494-1503
[c504]An Zhang
, Yuxin Chen
, Leheng Sheng
, Xiang Wang
, Tat-Seng Chua
:
On Generative Agents in Recommendation. SIGIR 2024: 1807-1817
[c503]Kaihang Pan
, Juncheng Li
, Wenjie Wang
, Hao Fei
, Hongye Song
, Wei Ji
, Jun Lin
, Xiaozhong Liu
, Tat-Seng Chua
, Siliang Tang
:
I3: Intent-Introspective Retrieval Conditioned on Instructions. SIGIR 2024: 1839-1849
[c502]An Zhang
, Yang Deng
, Yankai Lin
, Xu Chen
, Ji-Rong Wen
, Tat-Seng Chua
:
Large Language Model Powered Agents for Information Retrieval. SIGIR 2024: 2989-2992
[c501]Yunshan Ma
, Xiaohao Liu
, Yinwei Wei
, Zhulin Tao
, Xiang Wang
, Tat-Seng Chua
:
Leveraging Multimodal Features and Item-level User Feedback for Bundle Construction. WSDM 2024: 510-519
[c500]Yujuan Ding
, Yunshan Ma
, Wenqi Fan
, Yige Yao
, Tat-Seng Chua
, Qing Li
:
FashionReGen: LLM-Empowered Fashion Report Generation. WWW (Companion Volume) 2024: 991-994
[c499]Yang Deng
, An Zhang
, Yankai Lin
, Xu Chen
, Ji-Rong Wen
, Tat-Seng Chua
:
Large Language Model Powered Agents in the Web. WWW (Companion Volume) 2024: 1242-1245
[c498]Shicheng Xu
, Liang Pang
, Huawei Shen
, Xueqi Cheng
, Tat-Seng Chua
:
Search-in-the-Chain: Interactively Enhancing Large Language Models with Search for Knowledge-intensive Tasks. WWW 2024: 1362-1373
[c497]Wenjie Wang
, Changsheng Wang
, Fuli Feng
, Wentao Shi
, Daizong Ding
, Tat-Seng Chua
:
Uplift Modeling for Target User Attacks on Recommender Systems. WWW 2024: 3343-3354
[c496]Kelvin J. L. Koa
, Yunshan Ma
, Ritchie Ng
, Tat-Seng Chua
:
Learning to Generate Explainable Stock Predictions using Self-Reflective Large Language Models. WWW 2024: 4304-4315
[e21]Tat-Seng Chua, Chong-Wah Ngo, Ravi Kumar, Hady W. Lauw, Roy Ka-Wei Lee:
Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024. ACM 2024 [contents]
[e20]Tat-Seng Chua, Chong-Wah Ngo, Roy Ka-Wei Lee, Ravi Kumar, Hady W. Lauw:
Companion Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, Singapore, May 13-17, 2024. ACM 2024 [contents]
[i292]Luzhi Wang, Dongxiao He, He Zhang
, Yixin Liu, Wenjie Wang
, Shirui Pan, Di Jin, Tat-Seng Chua:
GOODAT: Towards Test-time Graph Out-of-Distribution Detection. CoRR abs/2401.06176 (2024)
[i291]Lidong Zeng, Zhedong Zheng, Yinwei Wei, Tat-Seng Chua:
Instilling Multi-round Thinking to Text-guided Image Generation. CoRR abs/2401.08472 (2024)
[i290]Fengbin Zhu, Ziyang Liu, Fuli Feng, Chao Wang, Moxin Li, Tat-Seng Chua:
TAT-LLM: A Specialized Language Model for Discrete Reasoning over Tabular and Textual Data. CoRR abs/2401.13223 (2024)
[i289]Sihang Li, Zhiyuan Liu, Yanchen Luo, Xiang Wang, Xiangnan He, Kenji Kawaguchi, Tat-Seng Chua, Qi Tian:
Towards 3D Molecule-Text Interpretation in Language Models. CoRR abs/2401.13923 (2024)
[i288]Kangkang Lu, Yanhua Yu, Hao Fei, Xuan Li, Zixuan Yang, Zirui Guo, Meiyu Liang, Mengran Yin, Tat-Seng Chua:
Improving Expressive Power of Spectral Graph Neural Networks with Eigenvalue Correction. CoRR abs/2401.15603 (2024)
[i287]Mingzhe Yu, Yunshan Ma, Lei Wu, Kai Cheng, Xue Li, Lei Meng
, Tat-Seng Chua:
Smart Fitting Room: A Generative Approach to Matching-aware Virtual Try-On. CoRR abs/2401.16825 (2024)
[i286]Xinyu Lin, Wenjie Wang
, Yongqi Li, Shuo Yang, Fuli Feng, Yinwei Wei, Tat-Seng Chua:
Data-efficient Fine-tuning for LLM-based Recommendation. CoRR abs/2401.17197 (2024)
[i285]Kelvin J. L. Koa, Yunshan Ma, Ritchie Ng, Tat-Seng Chua:
Learning to Generate Explainable Stock Predictions using Self-Reflective Large Language Models. CoRR abs/2402.03659 (2024)
[i284]Jujia Zhao, Wenjie Wang
, Chen Xu, Zhaochun Ren, See-Kiong Ng, Tat-Seng Chua:
LLM-based Federated Recommendation. CoRR abs/2402.09959 (2024)
[i283]Yongqi Li, Zhen Zhang, Wenjie Wang
, Liqiang Nie, Wenjie Li, Tat-Seng Chua:
Distillation Enhanced Generative Retrieval. CoRR abs/2402.10769 (2024)
[i282]Yongqi Li, Wenjie Wang
, Leigang Qu, Liqiang Nie, Wenjie Li, Tat-Seng Chua:
Generative Cross-Modal Retrieval: Memorizing Images in Multimodal Language Models for Retrieval and Beyond. CoRR abs/2402.10805 (2024)
[i281]Long Qian, Juncheng Li, Yu Wu, Yaobo Ye, Hao Fei, Tat-Seng Chua, Yueting Zhuang, Siliang Tang
:
Momentor: Advancing Video Large Language Model with Fine-Grained Temporal Reasoning. CoRR abs/2402.11435 (2024)
[i280]Yang Deng
, Xuan Zhang, Wenxuan Zhang, Yifei Yuan, See-Kiong Ng, Tat-Seng Chua:
On the Multi-turn Instruction Following for Conversational Web Agents. CoRR abs/2402.15057 (2024)
[i279]Yang Deng
, Yong Zhao, Moxin Li, See-Kiong Ng, Tat-Seng Chua:
Gotcha! Don't trick me with unanswerable questions! Self-aligning Large Language Models for Responding to Unknown Questions. CoRR abs/2402.15062 (2024)
[i278]Zirui Guo, Lianghao Xia, Yanhua Yu, Yuling Wang, Zixuan Yang, Wei Wei, Liang Pang, Tat-Seng Chua, Chao Huang:
GraphEdit: Large Language Models for Graph Structure Learning. CoRR abs/2402.15183 (2024)
[i277]Jizhi Zhang, Keqin Bao, Wenjie Wang
, Yang Zhang
, Wentao Shi, Wanhong Xu, Fuli Feng, Tat-Seng Chua:
Prospect Personalized Recommendation on Large Language Model-based Agent Platform. CoRR abs/2402.18240 (2024)
[i276]Shasha Guo, Lizi Liao, Cuiping Li, Tat-Seng Chua:
A Survey on Neural Question Generation: Methods, Applications, and Prospects. CoRR abs/2402.18267 (2024)
[i275]Jianwu Fang, Lei-Lei Li, Junfei Zhou, Junbin Xiao, Hongkai Yu, Chen Lv, Jianru Xue, Tat-Seng Chua:
Abductive Ego-View Accident Video Understanding for Safe Driving Perception. CoRR abs/2403.00436 (2024)
[i274]Wenjie Wang
, Changsheng Wang, Fuli Feng, Wentao Shi, Daizong Ding, Tat-Seng Chua:
Uplift Modeling for Target User Attacks on Recommender Systems. CoRR abs/2403.02692 (2024)
[i273]Zixuan Li, Lizi Liao, Tat-Seng Chua:
Learning to Ask Critical Questions for Assisting Product Search. CoRR abs/2403.02754 (2024)
[i272]Zixuan Li, Lizi Liao, Yunshan Ma, Tat-Seng Chua:
Contrastive Pre-training for Deep Session Data Understanding. CoRR abs/2403.02825 (2024)
[i271]Leigang Qu, Wenjie Wang
, Yongqi Li, Hanwang Zhang, Liqiang Nie, Tat-Seng Chua:
Discriminative Probing and Tuning for Text-to-Image Generation. CoRR abs/2403.04321 (2024)
[i270]Yujuan Ding, Yunshan Ma, Wenqi Fan, Yige Yao, Tat-Seng Chua, Qing Li:
FashionReGen: LLM-Empowered Fashion Report Generation. CoRR abs/2403.06660 (2024)
[i269]Tong Zhang, Chen Huang, Yang Deng
, Hongru Liang, Jia Liu, Zujie Wen, Wenqiang Lei, Tat-Seng Chua:
Strength Lies in Differences! Towards Effective Non-collaborative Dialogues via Tailored Strategy Planning. CoRR abs/2403.06769 (2024)
[i268]Moxin Li, Wenjie Wang
, Fuli Feng, Fengbin Zhu, Qifan Wang, Tat-Seng Chua:
Think Twice Before Assure: Confidence Estimation for Large Language Models through Reflection on Multiple Answers. CoRR abs/2403.09972 (2024)
[i267]Ruyi Xu, Yuan Yao, Zonghao Guo, Junbo Cui, Zanlin Ni, Chunjiang Ge, Tat-Seng Chua, Zhiyuan Liu, Maosong Sun, Gao Huang:
LLaVA-UHD: an LMM Perceiving Any Aspect Ratio and High-Resolution Images. CoRR abs/2403.11703 (2024)
[i266]Changmeng Zheng, Dayong Liang, Wengyu Zhang, Xiao-Yong Wei
, Tat-Seng Chua, Qing Li:
A Picture Is Worth a Graph: Blueprint Debate on Graph for Multimodal Reasoning. CoRR abs/2403.14972 (2024)
[i265]Yunshan Ma, Yingzhi He, Wenjun Zhong, Xiang Wang, Roger Zimmermann, Tat-Seng Chua:
CIRP: Cross-Item Relational Pre-training for Multimodal Product Bundling. CoRR abs/2404.01735 (2024)
[i264]Chen Huang, Peixin Qin, Yang Deng
, Wenqiang Lei, Jiancheng Lv, Tat-Seng Chua:
Concept - An Evaluation Protocol on Conversational Recommender Systems with System-centric and User-centric Factors. CoRR abs/2404.03304 (2024)
[i263]Minghe Gao, Shuang Chen, Liang Pang, Yuan Yao, Jisheng Dang, Wenqiao Zhang, Juncheng Li, Siliang Tang
, Yueting Zhuang, Tat-Seng Chua:
Fact : Teaching MLLMs with Faithful, Concise and Transferable Rationales. CoRR abs/2404.11129 (2024)
[i262]Yang Deng
, Lizi Liao, Zhonghua Zheng, Grace Hui Yang, Tat-Seng Chua:
Towards Human-centered Proactive Conversational Agents. CoRR abs/2404.12670 (2024)
[i261]Haokun Wen, Xuemeng Song, Xiaolin Chen, Yinwei Wei, Liqiang Nie, Tat-Seng Chua:
Simple but Effective Raw-Data Level Multimodal Fusion for Composed Image Retrieval. CoRR abs/2404.15875 (2024)
[i260]Yongqi Li, Xinyu Lin, Wenjie Wang
, Fuli Feng, Liang Pang, Wenjie Li, Liqiang Nie, Xiangnan He, Tat-Seng Chua:
A Survey of Generative Search and Recommendation in the Era of Large Language Models. CoRR abs/2404.16924 (2024)
[i259]Chen Xu, Xiaopeng Ye, Wenjie Wang
, Liang Pang, Jun Xu, Tat-Seng Chua:
A Taxation Perspective for Fair Re-ranking. CoRR abs/2404.17826 (2024)
[i258]Kaihang Pan, Siliang Tang
, Juncheng Li, Zhaoyu Fan, Wei Chow, Shuicheng Yan, Tat-Seng Chua, Yueting Zhuang, Hanwang Zhang:
Auto-Encoding Morph-Tokens for Multimodal LLM. CoRR abs/2405.01926 (2024)
[i257]Yujuan Ding, Wenqi Fan, Liangbo Ning, Shijie Wang, Hengyun Li, Dawei Yin, Tat-Seng Chua, Qing Li:
A Survey on RAG Meets LLMs: Towards Retrieval-Augmented Large Language Models. CoRR abs/2405.06211 (2024)
[i256]Wenjie Wang
, Honghui Bao, Xilin Chen, Jizhi Zhang, Yongqi Li, Fuli Feng, See-Kiong Ng, Tat-Seng Chua:
Learnable Tokenizer for LLM-based Generative Recommendation. CoRR abs/2405.07314 (2024)
[i255]Chen Huang, Xinwei Yang, Yang Deng
, Wenqiang Lei, Jiancheng Lv, Tat-Seng Chua:
Co-Matching: Towards Human-Machine Collaborative Legal Case Matching. CoRR abs/2405.10248 (2024)
[i254]Yue Chen, Chen Huang, Yang Deng
, Wenqiang Lei, Dingnan Jin, Jia Liu, Tat-Seng Chua:
STYLE: Improving Domain Transferability of Asking Clarification Questions in Large Language Model Powered Conversational Agents. CoRR abs/2405.12059 (2024)
[i253]Tong Zhang, Peixin Qin, Yang Deng
, Chen Huang, Wenqiang Lei, Junhong Liu, Dingnan Jin, Hongru Liang, Tat-Seng Chua:
CLAMBER: A Benchmark of Identifying and Clarifying Ambiguous Information Needs in Large Language Models. CoRR abs/2405.12063 (2024)
[i252]Zhiyuan Liu, An Zhang, Hao Fei, Enzhi Zhang
, Xiang Wang, Kenji Kawaguchi, Tat-Seng Chua:
ProtT3: Protein-to-Text Generation for Text-based Protein Understanding. CoRR abs/2405.12564 (2024)
[i251]Weixiang Zhao, Yulin Hu, Zhuojun Li, Yang Deng
, Yanyan Zhao, Bing Qin
, Tat-Seng Chua:
Towards Comprehensive and Efficient Post Safety Alignment of Large Language Models via Safety Patching. CoRR abs/2405.13820 (2024)
[i250]Jingnan Zheng, Han Wang, An Zhang, Tai D. Nguyen, Jun Sun, Tat-Seng Chua:
ALI-Agent: Assessing LLMs' Alignment with Human Values via Agent-based Evaluation. CoRR abs/2405.14125 (2024)
[i249]Zhiyuan Liu, Yaorui Shi
, An Zhang, Sihang Li, Enzhi Zhang
, Xiang Wang, Kenji Kawaguchi, Tat-Seng Chua:
ReactXT: Understanding Molecular "Reaction-ship" via Reaction-Contextualized Molecule-Text Pretraining. CoRR abs/2405.14225 (2024)
[i248]Tianyu Yu, Haoye Zhang, Yuan Yao, Yunkai Dang, Da Chen, Xiaoman Lu, Ganqu Cui, Taiwen He, Zhiyuan Liu, Tat-Seng Chua, Maosong Sun:
RLAIF-V: Aligning MLLMs through Open-Source AI Feedback for Super GPT-4V Trustworthiness. CoRR abs/2405.17220 (2024)
[i247]Shengyu Zhang, Ziqi Jiang, Jiangchao Yao, Fuli Feng, Kun Kuang, Zhou Zhao, Shuo Li, Hongxia Yang, Tat-Seng Chua, Fei Wu:
Causal Distillation for Alleviating Performance Heterogeneity in Recommender Systems. CoRR abs/2405.20626 (2024)
[i246]Zhihan Zhang, Yixin Cao, Chenchen Ye, Yunshan Ma, Lizi Liao, Tat-Seng Chua:
Analyzing Temporal Complex Events with Large Language Models? A Benchmark towards Temporal, Long Context Understanding. CoRR abs/2406.02472 (2024)
[i245]Man Liu, Huihui Bai, Feng Li, Chunjie Zhang, Yunchao Wei, Meng Wang, Tat-Seng Chua, Yao Zhao:
Instructing Prompt-to-Prompt Generation for Zero-Shot Learning. CoRR abs/2406.03032 (2024)
[i244]Shengqiong Wu, Hao Fei, Xiangtai Li, Jiayi Ji, Hanwang Zhang, Tat-Seng Chua, Shuicheng Yan:
Towards Semantic Equivalence of Tokenization in Multimodal LLM. CoRR abs/2406.05127 (2024)
[i243]Leigang Qu, Haochuan Li, Tan Wang, Wenjie Wang
, Yongqi Li, Liqiang Nie, Tat-Seng Chua:
Unified Text-to-Image Generation and Retrieval. CoRR abs/2406.05814 (2024)
[i242]Hao Li, Chenghao Yang
, An Zhang, Yang Deng
, Xiang Wang, Tat-Seng Chua:
Hello Again! LLM-powered Personalized Agent for Long-term Dialogue. CoRR abs/2406.05925 (2024)
[i241]Yuxin Chen, Junfei Tan, An Zhang, Zhengyi Yang, Leheng Sheng, Enzhi Zhang
, Xiang Wang, Tat-Seng Chua:
On Softmax Direct Preference Optimization for Recommendation. CoRR abs/2406.09215 (2024)
[i240]Xuan Zhang, Yang Deng
, Zifeng Ren, See-Kiong Ng, Tat-Seng Chua:
Ask-before-Plan: Proactive Language Agents for Real-World Planning. CoRR abs/2406.12639 (2024)
[i239]Rebecca Salganik, Xiaohao Liu, Yunshan Ma, Jian Kang, Tat-Seng Chua:
LARP: Language Audio Relational Pre-training for Cold-Start Playlist Continuation. CoRR abs/2406.14333 (2024)
[i238]Hao Fei, Shengqiong Wu, Meishan Zhang, Min Zhang, Tat-Seng Chua, Shuicheng Yan:
Enhancing Video-Language Representations with Structural Spatio-Temporal Alignment. CoRR abs/2406.19255 (2024)
[i237]Leheng Sheng, An Zhang, Yi Zhang, Yuxin Chen, Xiang Wang, Tat-Seng Chua:
Language Models Encode Collaborative Signals in Recommendation. CoRR abs/2407.05441 (2024)
[i236]An Zhang, Han Wang, Xiang Wang, Tat-Seng Chua:
Disentangling Masked Autoencoders for Unsupervised Domain Generalization. CoRR abs/2407.07544 (2024)
[i235]He Chang, Chenchen Ye, Zhulin Tao, Jie Wu, Zhengmao Yang, Yunshan Ma, Xianglin Huang, Tat-Seng Chua:
A Comprehensive Evaluation of Large Language Models on Temporal Event Forecasting. CoRR abs/2407.11638 (2024)
[i234]Xiaohao Liu, Jie Wu, Zhulin Tao, Yunshan Ma, Yinwei Wei, Tat-Seng Chua:
Harnessing Large Language Models for Multimodal Product Bundling. CoRR abs/2407.11712 (2024)
[i233]Yongqi Li, Hongru Cai, Wenjie Wang
, Leigang Qu, Yinwei Wei, Wenjie Li, Liqiang Nie, Tat-Seng Chua:
Revolutionizing Text-to-Image Retrieval as Autoregressive Token-to-Voken Generation. CoRR abs/2407.17274 (2024)
[i232]Junbin Xiao, Nanxin Huang, Hangyu Qin, Dongyang Li, Yicong Li, Fengbin Zhu, Zhulin Tao, Jianxing Yu, Liang Lin, Tat-Seng Chua, Angela Yao:
VideoQA in the Era of LLMs: An Empirical Study. CoRR abs/2408.04223 (2024)
[i231]Haoxuan Li, Zhengmao Yang, Yunshan Ma, Yi Bin, Yang Yang, Tat-Seng Chua:
MM-Forecast: A Multimodal Approach to Temporal Event Forecasting with Large Language Models. CoRR abs/2408.04388 (2024)
[i230]Xing Lan, Jian Xue, Ji Qi, Dongmei Jiang, Ke Lu, Tat-Seng Chua:
ExpLLM: Towards Chain of Thought for Facial Expression Recognition. CoRR abs/2409.02828 (2024)
[i229]Sheng Zhou, Junbin Xiao, Xun Yang, Peipei Song, Dan Guo, Angela Yao, Meng Wang, Tat-Seng Chua:
Scene-Text Grounding for Text-Based Video Question Answering. CoRR abs/2409.14319 (2024)
[i228]Peixin Qin, Chen Huang, Yang Deng, Wenqiang Lei, Tat-Seng Chua:
Beyond Persuasion: Towards Conversational Recommender System with Credible Explanations. CoRR abs/2409.14399 (2024)
[i227]Jingnan Zheng, Jiaohao Liu, An Zhang, Jun Zeng, Ziqi Yang, Zhenkai Liang, Tat-Seng Chua:
MASKDROID: Robust Android Malware Detection with Masked Graph Representations. CoRR abs/2409.19594 (2024)
[i226]Junfeng Fang, Houcheng Jiang, Kun Wang, Yunshan Ma, Xiang Wang, Xiangnan He, Tat-Seng Chua:
AlphaEdit: Null-Space Constrained Knowledge Editing for Language Models. CoRR abs/2410.02355 (2024)
[i225]Yu Zhao, Hao Fei, Shengqiong Wu, Meishan Zhang, Min Zhang, Tat-Seng Chua:
Grammar Induction from Visual, Speech and Text. CoRR abs/2410.03739 (2024)
[i224]Xinyu Lin, Chaoqun Yang, Wenjie Wang
, Yongqi Li, Cunxiao Du, Fuli Feng, See-Kiong Ng, Tat-Seng Chua:
Efficient Inference for Large Language Model-based Generative Recommendation. CoRR abs/2410.05165 (2024)
[i223]Man Liu, Huihui Bai, Feng Li, Chunjie Zhang, Yunchao Wei, Meng Wang, Tat-Seng Chua, Yao Zhao:
PSVMA+: Exploring Multi-granularity Semantic-visual Adaption for Generalized Zero-shot Learning. CoRR abs/2410.11560 (2024)
[i222]Shuo Liu, An Zhang, Guoqing Hu, Hong Qian, Tat-Seng Chua:
Preference Diffusion for Recommendation. CoRR abs/2410.13117 (2024)
[i221]Kangkang Lu, Yanhua Yu, Zhiyong Huang, Jia Li, Yuling Wang, Meiyu Liang, Xiting Qin, Yimeng Ren, Tat-Seng Chua, Xidian Wang:
Addressing Heterogeneity and Heterophily in Graphs: A Heterogeneous Heterophilic Spectral Graph Neural Network. CoRR abs/2410.13373 (2024)
[i220]Chenhang Cui, An Zhang, Yiyang Zhou, Zhaorun Chen, Gelei Deng, Huaxiu Yao, Tat-Seng Chua:
Fine-Grained Verifiers: Preference Modeling as Next-token Prediction in Vision-Language Alignment. CoRR abs/2410.14148 (2024)
[i219]Hongru Cai, Yongqi Li, Wenjie Wang
, Fengbin Zhu, Xiaoyu Shen, Wenjie Li, Tat-Seng Chua:
Large Language Models Empowered Personalized Web Agents. CoRR abs/2410.17236 (2024)
[i218]Kelvin J. L. Koa, Yunshan Ma, Ritchie Ng, Huanhuan Zheng, Tat-Seng Chua:
Temporal Relational Reasoning of Large Language Models for Detecting Stock Portfolio Crashes. CoRR abs/2410.17266 (2024)
[i217]Fengbin Zhu, Ziyang Liu, Xiang Yao Ng, Haohui Wu, Wenjie Wang
, Fuli Feng, Chao Wang, Huanbo Luan, Tat-Seng Chua:
MMDocBench: Benchmarking Large Vision-Language Models for Fine-Grained Visual Document Understanding. CoRR abs/2410.21311 (2024)
[i216]Yang Zhang
, Juntao You, Yimeng Bai, Jizhi Zhang, Keqin Bao, Wenjie Wang
, Tat-Seng Chua:
Causality-Enhanced Behavior Sequence Modeling in LLMs for Personalized Recommendation. CoRR abs/2410.22809 (2024)
[i215]Youcheng Huang, Fengbin Zhu, Jingkun Tang, Pan Zhou, Wenqiang Lei, Jiancheng Lv, Tat-Seng Chua:
Effective and Efficient Adversarial Detection for Vision-Language Models via A Single Vector. CoRR abs/2410.22888 (2024)
[i214]Ke Li, Fuyu Dong, Di Wang, Shaofeng Li, Quan Wang, Xinbo Gao, Tat-Seng Chua:
Show Me What and Where has Changed? Question Answering and Grounding for Remote Sensing Change Detection. CoRR abs/2410.23828 (2024)
[i213]Ruiyang Ren, Yuhao Wang, Kun Zhou, Wayne Xin Zhao, Wenjie Wang
, Jing Liu, Ji-Rong Wen, Tat-Seng Chua:
Self-Calibrated Listwise Reranking with Large Language Models. CoRR abs/2411.04602 (2024)
[i212]Chenhang Cui, Gelei Deng, An Zhang, Jingnan Zheng, Yicong Li, Lianli Gao, Tianwei Zhang, Tat-Seng Chua:
Safe + Safe = Unsafe? Exploring How Safe Images Can Be Exploited to Jailbreak Large Vision-Language Models. CoRR abs/2411.11496 (2024)
[i211]Shuo Xu, Haokai Ma, Yunshan Ma, Xiaohao Liu, Lei Meng
, Xiangxu Meng, Tat-Seng Chua:
Headache to Overstock? Promoting Long-tail Items through Debiased Product Bundling. CoRR abs/2411.19107 (2024)
[i210]Haiyi Qiu, Minghe Gao, Long Qian, Kaihang Pan, Qifan Yu, Juncheng Li, Wenjie Wang
, Siliang Tang
, Yueting Zhuang, Tat-Seng Chua:
STEP: Enhancing Video-LLMs' Compositional Reasoning by Spatio-Temporal Graph-guided Self-Training. CoRR abs/2412.00161 (2024)
[i209]Leigang Qu, Haochuan Li, Wenjie Wang
, Xiang Liu, Juncheng Li, Liqiang Nie, Tat-Seng Chua:
SILMM: Self-Improving Large Multimodal Models for Compositional Text-to-Image Generation. CoRR abs/2412.05818 (2024)
[i208]Shengqiong Wu, Hao Fei, Liangming Pan
, William Yang Wang, Shuicheng Yan, Tat-Seng Chua:
Combating Multimodal LLM Hallucination via Bottom-Up Holistic Reasoning. CoRR abs/2412.11124 (2024)
[i207]Moxin Li, Yong Zhao, Yang Deng, Wenxuan Zhang, Shuaiyi Li, Wenya Xie
, See-Kiong Ng, Tat-Seng Chua:
Knowledge Boundary of Large Language Models: A Survey. CoRR abs/2412.12472 (2024)
[i206]Yipeng Zhang, Yifan Liu, Zonghao Guo, Yidan Zhang, Xuesong Yang, Chi Chen, Jun Song, Bo Zheng, Yuan Yao, Zhiyuan Liu, Tat-Seng Chua, Maosong Sun:
LLaVA-UHD v2: an MLLM Integrating High-Resolution Feature Pyramid via Hierarchical Window Transformer. CoRR abs/2412.13871 (2024)
[i205]Jinghan He, Kuan Zhu, Haiyun Guo, Junfeng Fang, Zhenglin Hua, Yuheng Jia, Ming Tang, Tat-Seng Chua, Jinqiao Wang:
Cracking the Code of Hallucination in LVLMs with Vision-aware Head Divergence. CoRR abs/2412.13949 (2024)
[i204]Yuxuan Gu
, Wenjie Wang
, Xiaocheng Feng, Weihong Zhong, Kun Zhu, Lei Huang, Tat-Seng Chua, Bing Qin
:
Length Controlled Generation for Black-box LLMs. CoRR abs/2412.14656 (2024)
[i203]Xiaohao Liu, Xiaobo Xia, Zhuo Huang, Tat-Seng Chua:
Towards Modality Generalization: A Benchmark and Prospective Analysis. CoRR abs/2412.18277 (2024)
[i202]Hao Fei, Shengqiong Wu, Hanwang Zhang, Tat-Seng Chua, Shuicheng Yan:
Vitron: A Unified Pixel-level Vision LLM for Understanding, Generating, Segmenting, Editing. CoRR abs/2412.19806 (2024)- 2023
[j184]Xuanmeng Zhang
, Zhedong Zheng
, Daiheng Gao, Bang Zhang, Yi Yang, Tat-Seng Chua:
Multi-view Consistent Generative Adversarial Networks for Compositional 3D-Aware Image Synthesis. Int. J. Comput. Vis. 131(8): 2219-2242 (2023)
[j183]Xiang Wang
, Yingxin Wu
, An Zhang, Fuli Feng
, Xiangnan He
, Tat-Seng Chua
:
Reinforced Causal Explainer for Graph Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 45(2): 2297-2309 (2023)
[j182]Shengyu Zhang
, Fuli Feng
, Kun Kuang
, Wenqiao Zhang, Zhou Zhao
, Hongxia Yang, Tat-Seng Chua
, Fei Wu
:
Personalized Latent Structure Learning for Recommendation. IEEE Trans. Pattern Anal. Mach. Intell. 45(8): 10285-10299 (2023)
[j181]Juncheng Li
, Siliang Tang
, Linchao Zhu
, Wenqiao Zhang
, Yi Yang, Tat-Seng Chua
, Fei Wu
, Yueting Zhuang
:
Variational Cross-Graph Reasoning and Adaptive Structured Semantics Learning for Compositional Temporal Grounding. IEEE Trans. Pattern Anal. Mach. Intell. 45(10): 12601-12617 (2023)
[j180]Junbin Xiao
, Pan Zhou
, Angela Yao
, Yicong Li
, Richang Hong
, Shuicheng Yan
, Tat-Seng Chua
:
Contrastive Video Question Answering via Video Graph Transformer. IEEE Trans. Pattern Anal. Mach. Intell. 45(11): 13265-13280 (2023)
[j179]Hady W. Lauw, Tat-Seng Chua, Luo Si, Evimaria Terzi, Panayiotis Tsaparas, Andrew Tomkins:
Report on the 16th ACM International Conference on Web Search and Data Mining (WSDM 2023). SIGIR Forum 57(1): 8:1-8:5 (2023)
[j178]Tat-Seng Chua:
Towards Generative Search and Recommendation: A keynote at RecSys 2023. SIGIR Forum 57(2): 5:1-5:14 (2023)
[j177]Hady W. Lauw, Tat-Seng Chua, Luo Si, Evimaria Terzi, Panayiotis Tsaparas, Andrew Tomkins:
ACM WSDM 2023 Report. SIGWEB Newsl. 2023(Spring): 1:1-1:6 (2023)
[j176]Fuli Feng
, Xiangnan He
, Hanwang Zhang
, Tat-Seng Chua
:
Cross-GCN: Enhancing Graph Convolutional Network with $k$k-Order Feature Interactions. IEEE Trans. Knowl. Data Eng. 35(1): 225-236 (2023)
[j175]Yixin Cao
, Jun Kuang
, Ming Gao
, Aoying Zhou,


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