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ORCIDTat-Seng Chua
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j200]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)- [j199]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) - [j198]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) - [j197]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) - [j196]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) - [j195]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) - [j194]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) - [j193]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) - [j192]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) - [j191]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) - [j190]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) - [j189]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) - [j188]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) - [j187]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) - [j186]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) - [j185]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) - [c543]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 - [c542]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 - [c541]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 - [c540]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 - [c539]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 - [c538]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 - [c537]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 - [c536]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 - [c535]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 - [c534]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 - [c533]Yongqi Li, Zhen Zhang, Wenjie Wang, Liqiang Nie, Wenjie Li, Tat-Seng Chua:
Distillation Enhanced Generative Retrieval. ACL (Findings) 2024: 11119-11129 - [c532]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 - [c531]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 - [c530]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 - [c529]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 - [c528]Junbin Xiao, Angela Yao, Yicong Li, Tat-Seng Chua:
Can I Trust Your Answer? Visually Grounded Video Question Answering. CVPR 2024: 13204-13214 - [c527]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 - [c526]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 - [c525]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 - [c524]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 - [c523]Yiyang Chen, Zhedong Zheng, Wei Ji, Leigang Qu, Tat-Seng Chua:
Composed Image Retrieval with Text Feedback via Multi-grained Uncertainty Regularization. ICLR 2024 - [c522]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 - [c521]Bosheng Qin, Juncheng Li, Siliang Tang, Tat-Seng Chua, Yueting Zhuang:
InstructVid2Vid: Controllable Video Editing with Natural Language Instructions. ICME 2024: 1-6 - [c520]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 - [c519]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 - [c518]Shengqiong Wu, Hao Fei, Leigang Qu, Wei Ji, Tat-Seng Chua:
NExT-GPT: Any-to-Any Multimodal LLM. ICML 2024 - [c517]Ao Zhang, Yuan Yao, Wei Ji, Zhiyuan Liu, Tat-Seng Chua:
NExT-Chat: An LMM for Chat, Detection and Segmentation. ICML 2024 - [c516]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 - [c515]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 - [c514]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 - [c513]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 - [c512]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 - [c511]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 - [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] - [i264]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) - [i263]Lidong Zeng, Zhedong Zheng, Yinwei Wei, Tat-Seng Chua:
Instilling Multi-round Thinking to Text-guided Image Generation. CoRR abs/2401.08472 (2024) - [i262]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) - [i261]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) - [i260]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) - [i259]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) - [i258]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) - [i257]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) - [i256]Jujia Zhao, Wenjie Wang, Chen Xu, Zhaochun Ren, See-Kiong Ng, Tat-Seng Chua:
LLM-based Federated Recommendation. CoRR abs/2402.09959 (2024) - [i255]Yongqi Li, Zhen Zhang, Wenjie Wang, Liqiang Nie, Wenjie Li, Tat-Seng Chua:
Distillation Enhanced Generative Retrieval. CoRR abs/2402.10769 (2024) - [i254]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) - [i253]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) - [i252]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) - [i251]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) - [i250]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) - [i249]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) - [i248]Shasha Guo, Lizi Liao, Cuiping Li, Tat-Seng Chua:
A Survey on Neural Question Generation: Methods, Applications, and Prospects. CoRR abs/2402.18267 (2024) - [i247]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) - [i246]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) - [i245]Zixuan Li, Lizi Liao, Tat-Seng Chua:
Learning to Ask Critical Questions for Assisting Product Search. CoRR abs/2403.02754 (2024) - [i244]Zixuan Li, Lizi Liao, Yunshan Ma, Tat-Seng Chua:
Contrastive Pre-training for Deep Session Data Understanding. CoRR abs/2403.02825 (2024) - [i243]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) - [i242]Yujuan Ding, Yunshan Ma, Wenqi Fan, Yige Yao, Tat-Seng Chua, Qing Li:
FashionReGen: LLM-Empowered Fashion Report Generation. CoRR abs/2403.06660 (2024) - [i241]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) - [i240]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) - [i239]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) - [i238]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) - [i237]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) - [i236]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) - [i235]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) - [i234]Yang Deng, Lizi Liao, Zhonghua Zheng, Grace Hui Yang, Tat-Seng Chua:
Towards Human-centered Proactive Conversational Agents. CoRR abs/2404.12670 (2024) - [i233]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) - [i232]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) - [i231]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) - [i230]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) - [i229]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) - [i228]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) - [i227]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) - [i226]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) - [i225]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) - [i224]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) - [i223]Weixiang Zhao, Yulin Hu, Zhuojun Li, Yang Deng, Yanyan Zhao,