Short Text Topic Modeling with Flexible Word Patterns. - Xiaobao Wu; Chunping Li (IJCNN, 2019)

Short Text Topic Modeling with Topic Distribution Quantization and Negative Sampling Decoder. - Xiaobao Wu; Chunping Li; Yan Zhu 007; Yishu Miao (EMNLP (1), 2020)

Learning Multilingual Topics with Neural Variational Inference. - Xiaobao Wu; Chunping Li; Yan Zhu 007; Yishu Miao (NLPCC (1), 2020)

Discovering Topics in Long-tailed Corpora with Causal Intervention. - Xiaobao Wu; Chunping Li; Yishu Miao (ACL/IJCNLP (Findings), 2021)

Adaptive Contrastive Learning on Multimodal Transformer for Review Helpfulness Prediction. - Thong Nguyen 003; Xiaobao Wu; Anh Tuan Luu; Zhen Hai; Lidong Bing (EMNLP, 2022)

Mitigating Data Sparsity for Short Text Topic Modeling by Topic-Semantic Contrastive Learning. - Xiaobao Wu; Anh Tuan Luu; Xinshuai Dong (EMNLP, 2022)

Adaptive Contrastive Learning on Multimodal Transformer for Review Helpfulness Predictions. - Thong Nguyen 003; Xiaobao Wu; Anh Tuan Luu; Cong-Duy Nguyen; Zhen Hai; Lidong Bing (CoRR, 2022)

InfoCTM: A Mutual Information Maximization Perspective of Cross-Lingual Topic Modeling. - Xiaobao Wu; Xinshuai Dong; Thong Nguyen 003; Chaoqun Liu; Liangming Pan; Anh Tuan Luu (AAAI, 2023)

Zero-Shot Text Classification via Self-Supervised Tuning. - Chaoqun Liu; Wenxuan Zhang 001; Guizhen Chen; Xiaobao Wu; Anh Tuan Luu; Chip-Hong Chang; Lidong Bing (ACL (Findings), 2023)

Gradient-Boosted Decision Tree for Listwise Context Model in Multimodal Review Helpfulness Prediction. - Thong Nguyen 003; Xiaobao Wu; Xinshuai Dong; Cong-Duy Nguyen; Zhen Hai; Lidong Bing; Anh Tuan Luu (ACL (Findings), 2023)

Fact-Checking Complex Claims with Program-Guided Reasoning. - Liangming Pan; Xiaobao Wu; Xinyuan Lu; Anh Tuan Luu; William Yang Wang; Min-Yen Kan; Preslav Nakov (ACL (1), 2023)

DemaFormer: Damped Exponential Moving Average Transformer with Energy-Based Modeling for Temporal Language Grounding. - Thong Nguyen 003; Xiaobao Wu; Xinshuai Dong; Cong-Duy Nguyen; See-Kiong Ng; Anh Tuan Luu (EMNLP (Findings), 2023)

Effective Neural Topic Modeling with Embedding Clustering Regularization. - Xiaobao Wu; Xinshuai Dong; Thong Thanh Nguyen; Anh Tuan Luu (ICML, 2023)

Effective Neural Topic Modeling with Embedding Clustering Regularization. - Xiaobao Wu; Xinshuai Dong; Thong Nguyen 003; Anh Tuan Luu (CoRR, 2023)

Towards the TopMost: A Topic Modeling System Toolkit. - Xiaobao Wu; Fengjun Pan; Anh Tuan Luu (CoRR, 2023)

READ-PVLA: Recurrent Adapter with Partial Video-Language Alignment for Parameter-Efficient Transfer Learning in Low-Resource Video-Language Modeling. - Thong Nguyen 003; Xiaobao Wu; Xinshuai Dong; Khoi Le; Zhiyuan Hu; Cong-Duy Nguyen; See-Kiong Ng; Luu Anh Tuan (CoRR, 2023)

READ-PVLA: Recurrent Adapter with Partial Video-Language Alignment for Parameter-Efficient Transfer Learning in Low-Resource Video-Language Modeling. - Thong Nguyen 003; Xiaobao Wu; Xinshuai Dong; Khoi M. Le; Zhiyuan Hu; Cong-Duy Nguyen; See-Kiong Ng; Anh Tuan Luu (AAAI, 2024)

On the Affinity, Rationality, and Diversity of Hierarchical Topic Modeling. - Xiaobao Wu; Fengjun Pan; Thong Nguyen 003; Yichao Feng; Chaoqun Liu; Cong-Duy Nguyen; Anh Tuan Luu (AAAI, 2024)

Modeling Dynamic Topics in Chain-Free Fashion by Evolution-Tracking Contrastive Learning and Unassociated Word Exclusion. - Xiaobao Wu; Xinshuai Dong; Liangming Pan; Thong Nguyen 003; Anh Tuan Luu (ACL (Findings), 2024)

Meta-optimized Angular Margin Contrastive Framework for Video-Language Representation Learning. - Thong Nguyen 003; Yi Bin; Xiaobao Wu; Xinshuai Dong; Zhiyuan Hu; Khoi Le; Cong-Duy Nguyen; See-Kiong Ng; Luu Anh Tuan (ECCV (80), 2024)

Encoding and Controlling Global Semantics for Long-form Video Question Answering. - Thong Nguyen 003; Zhiyuan Hu; Xiaobao Wu; Cong-Duy Nguyen; See-Kiong Ng; Anh Tuan Luu (EMNLP, 2024)

Are LLMs Good Zero-Shot Fallacy Classifiers? - Fengjun Pan; Xiaobao Wu; Zongrui Li 001; Anh Tuan Luu (EMNLP, 2024)

AKEW: Assessing Knowledge Editing in the Wild. - Xiaobao Wu; Liangming Pan; William Yang Wang; Anh Tuan Luu (EMNLP, 2024)

Topic Modeling as Multi-Objective Contrastive Optimization. - Thong Thanh Nguyen; Xiaobao Wu; Xinshuai Dong; Cong-Duy T. Nguyen; See-Kiong Ng; Anh Tuan Luu (ICLR, 2024)

KDMCSE: Knowledge Distillation Multimodal Sentence Embeddings with Adaptive Angular margin Contrastive Learning. - Cong-Duy Nguyen; Thong Nguyen 003; Xiaobao Wu; Anh Tuan Luu (NAACL-HLT, 2024)

FASTopic: Pretrained Transformer is a Fast, Adaptive, Stable, and Transferable Topic Model. - Xiaobao Wu; Thong Nguyen 003; Delvin Zhang; William Yang Wang; Anh Tuan Luu (NeurIPS, 2024)

Topic Modeling as Multi-Objective Contrastive Optimization. - Thong Nguyen 003; Xiaobao Wu; Xinshuai Dong; Cong-Duy T. Nguyen; See-Kiong Ng; Anh Tuan Luu (CoRR, 2024)

Updating Language Models with Unstructured Facts: Towards Practical Knowledge Editing. - Xiaobao Wu; Liangming Pan; William Yang Wang; Anh Tuan Luu (CoRR, 2024)

FASTopic: A Fast, Adaptive, Stable, and Transferable Topic Modeling Paradigm. - Xiaobao Wu; Thong Nguyen 003; Delvin Ce Zhang; William Yang Wang; Anh Tuan Luu (CoRR, 2024)

Encoding and Controlling Global Semantics for Long-form Video Question Answering. - Thong Thanh Nguyen; Zhiyuan Hu; Xiaobao Wu; Cong-Duy T. Nguyen; See-Kiong Ng; Anh Tuan Luu (CoRR, 2024)

Weak-to-Strong Backdoor Attack for Large Language Models. - Shuai Zhao 007; Leilei Gan; Zhongliang Guo 001; Xiaobao Wu; Luwei Xiao; Xiaoyu Xu; Cong-Duy Nguyen; Luu Anh Tuan (CoRR, 2024)

COrAL: Order-Agnostic Language Modeling for Efficient Iterative Refinement. - Yuxi Xie; Anirudh Goyal; Xiaobao Wu; Xunjian Yin; Xiao Xu 005; Min-Yen Kan; Liangming Pan; William Yang Wang (CoRR, 2024)

Unlearning Backdoor Attacks for LLMs with Weak-to-Strong Knowledge Distillation. - Shuai Zhao 007; Xiaobao Wu; Cong-Duy Nguyen; Meihuizi Jia; Yichao Feng; Luu Anh Tuan (CoRR, 2024)

AntiLeak-Bench: Preventing Data Contamination by Automatically Constructing Benchmarks with Updated Real-World Knowledge. - Xiaobao Wu; Liangming Pan; Yuxi Xie; Ruiwen Zhou; Shuai Zhao 007; Yubo Ma; Mingzhe Du; Rui Mao 010; Anh Tuan Luu; William Yang Wang (CoRR, 2024)

A survey on neural topic models: methods, applications, and challenges. - Xiaobao Wu; Thong Nguyen 003; Anh Tuan Luu (Artif. Intell. Rev., 2024)

Collaborative Control of Vehicle Platoon Based on Deep Reinforcement Learning. - Jianzhong Chen; Xiaobao Wu; Zekai Lv; Zhihe Xu; Wenjie Wang (IEEE Trans. Veh. Technol., 2024)

Multi-Scale Contrastive Learning for Video Temporal Grounding. - Thong Thanh Nguyen; Yi Bin; Xiaobao Wu; Zhiyuan Hu; Cong-Duy T. Nguyen; See-Kiong Ng; Anh Tuan Luu (AAAI, 2025)

Motion-aware Contrastive Learning for Temporal Panoptic Scene Graph Generation. - Thong Thanh Nguyen; Xiaobao Wu; Yi Bin; Cong-Duy T. Nguyen; See-Kiong Ng; Anh Tuan Luu (AAAI, 2025)

Unlearning Backdoor Attacks for LLMs with Weak-to-Strong Knowledge Distillation. - Shuai Zhao 007; Xiaobao Wu; Cong-Duy T. Nguyen; Yanhao Jia; Meihuizi Jia; Yichao Feng; Anh Tuan Luu (ACL (Findings), 2025)

Towards Storage-Efficient Visual Document Retrieval: An Empirical Study on Reducing Patch-Level Embeddings. - Yubo Ma; Jinsong Li 001; Yuhang Zang; Xiaobao Wu; Xiaoyi Dong; Pan Zhang 001; Yuhang Cao; Haodong Duan; Jiaqi Wang 003; Yixin Cao 002; Aixin Sun (ACL (Findings), 2025)

AntiLeakBench: Preventing Data Contamination by Automatically Constructing Benchmarks with Updated Real-World Knowledge. - Xiaobao Wu; Liangming Pan; Yuxi Xie; Ruiwen Zhou; Shuai Zhao 007; Yubo Ma; Mingzhe Du; Rui Mao 010; Anh Tuan Luu; William Yang Wang (ACL (1), 2025)

Full-Step-DPO: Self-Supervised Preference Optimization with Step-wise Rewards for Mathematical Reasoning. - Huimin Xu; Xin Mao; Feng-Lin Li; Xiaobao Wu; Wang Chen; Wei Zhang 218; Anh Tuan Luu (ACL (Findings), 2025)

SCOPE: Compress Mathematical Reasoning Steps for Efficient Automated Process Annotation. - Huimin Xu; Xin Mao; Feng-Lin Li; Xiaobao Wu; Wang Chen; Wei Zhang 218; Anh Tuan Luu (ACL (Findings), 2025)

RuleArena: A Benchmark for Rule-Guided Reasoning with LLMs in Real-World Scenarios. - Ruiwen Zhou; Wenyue Hua; Liangming Pan; Sitao Cheng; Xiaobao Wu; En Yu; William Yang Wang (ACL (1), 2025)

Zero-to-Strong Generalization: Eliciting Strong Capabilities of Large Language Models Iteratively without Gold Labels. - Chaoqun Liu; Qin Chao; Wenxuan Zhang 001; Xiaobao Wu; Boyang Li 001; Anh Tuan Luu; Lidong Bing (COLING, 2025)

Enhancing Multimodal Entity Linking with Jaccard Distance-based Conditional Contrastive Learning and Contextual Visual Augmentation. - Cong-Duy T. Nguyen; Xiaobao Wu; Thong Thanh Nguyen; Shuai Zhao 007; Khoi M. Le; Viet-Anh Nguyen; Yichao Feng; Anh Tuan Luu (NAACL (Long Papers), 2025)

Curriculum Demonstration Selection for In-Context Learning. - Duc Anh Vu 002; Cong-Duy Nguyen; Xiaobao Wu; Nhat M. Hoang; Mingzhe Du; Thong Nguyen 003; Anh Tuan Luu (SAC, 2025)

A Survey of Recent Backdoor Attacks and Defenses in Large Language Models. - Shuai Zhao 007; Meihuizi Jia; Zhongliang Guo 001; Leilei Gan; Xiaoyu Xu; Xiaobao Wu; Jie Fu 001; Yichao Feng; Fengjun Pan; Anh Tuan Luu (Trans. Mach. Learn. Res., 2025)

Enhancing Multimodal Entity Linking with Jaccard Distance-based Conditional Contrastive Learning and Contextual Visual Augmentation. - Cong-Duy Nguyen; Xiaobao Wu; Thong Nguyen 003; Shuai Zhao 007; Khoi Le; Viet-Anh Nguyen; Yichao Feng; Anh Tuan Luu (CoRR, 2025)

KBQA-o1: Agentic Knowledge Base Question Answering with Monte Carlo Tree Search. - Haoran Luo 001; Haihong E; Yikai Guo; Qika Lin; Xiaobao Wu; Xinyu Mu; Wenhao Liu; Meina Song; Yifan Zhu 001; Luu Anh Tuan (CoRR, 2025)

Hierarchical Graph Topic Modeling with Topic Tree-based Transformer. - Delvin Ce Zhang; Menglin Yang 001; Xiaobao Wu; Jiasheng Zhang; Hady W. Lauw (CoRR, 2025)

CutPaste&Find: Efficient Multimodal Hallucination Detector with Visual-aid Knowledge Base. - Cong-Duy Nguyen; Xiaobao Wu; Duc Anh Vu 002; Shuai Zhao 007; Thong Nguyen 003; Anh Tuan Luu (CoRR, 2025)

CodeArena: A Collective Evaluation Platform for LLM Code Generation. - Mingzhe Du; Anh Tuan Luu; Bin Ji 002; Xiaobao Wu; Dong Huang 005; Terry Yue Zhuo; Qian Liu 012; See-Kiong Ng (CoRR, 2025)

HyperGraphRAG: Retrieval-Augmented Generation with Hypergraph-Structured Knowledge Representation. - Haoran Luo 001; Haihong E; Guanting Chen 004; Yandan Zheng; Xiaobao Wu; Yikai Guo; Qika Lin; Yu Feng 015; Ze-min Kuang; Meina Song; Yifan Zhu 001; Luu Anh Tuan (CoRR, 2025)

Aspect-Based Summarization with Self-Aspect Retrieval Enhanced Generation. - Yichao Feng; Shuai Zhao 007; Yueqiu Li; Luwei Xiao; Xiaobao Wu; Anh Tuan Luu (CoRR, 2025)

Sailing AI by the Stars: A Survey of Learning from Rewards in Post-Training and Test-Time Scaling of Large Language Models. - Xiaobao Wu (CoRR, 2025)

Detecting Harmful Memes with Decoupled Understanding and Guided CoT Reasoning. - Fengjun Pan; Anh Tuan Luu; Xiaobao Wu (CoRR, 2025)

Affective-ROPTester: Capability and Bias Analysis of LLMs in Predicting Retinopathy of Prematurity. - Shuai Zhao 007; Yulin Zhang; Luwei Xiao; Xinyi Wu; Yanhao Jia; Zhongliang Guo 001; Xiaobao Wu; Cong-Duy Nguyen; Guoming Zhang; Anh Tuan Luu (CoRR, 2025)

MUR: Momentum Uncertainty guided Reasoning for Large Language Models. - Hang Yan 010; Fangzhi Xu; Rongman Xu; Yifei Li 006; Jian Zhang 087; Haoran Luo 001; Xiaobao Wu; Luu Anh Tuan; Haiteng Zhao; Qika Lin; Jun Liu 002 (CoRR, 2025)

Graph-R1: Towards Agentic GraphRAG Framework via End-to-end Reinforcement Learning. - Haoran Luo 001; Haihong E; Guanting Chen 004; Qika Lin; Yikai Guo; Fangzhi Xu; Ze-min Kuang; Meina Song; Xiaobao Wu; Yifan Zhu 001; Luu Anh Tuan (CoRR, 2025)