Xiaobao Wu

According to our database, Xiaobao Wu authored at least 60 papers between 2019 and 2025.

Collaborative distances:

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

2025

Graph-R1: Towards Agentic GraphRAG Framework via End-to-end Reinforcement Learning.

Haoran Luo, Haihong E, Guanting Chen, Qika Lin, Yikai Guo, Fangzhi Xu, Ze-min Kuang, Meina Song, Xiaobao Wu, Yifan Zhu, Luu Anh Tuan

CoRR, July, 2025

MUR: Momentum Uncertainty guided Reasoning for Large Language Models.

Hang Yan, Fangzhi Xu, Rongman Xu, Yifei Li, Jian Zhang, Haoran Luo, Xiaobao Wu, Luu Anh Tuan, Haiteng Zhao, Qika Lin, Jun Liu

CoRR, July, 2025

Affective-ROPTester: Capability and Bias Analysis of LLMs in Predicting Retinopathy of Prematurity.

Shuai Zhao, Yulin Zhang, Luwei Xiao, Xinyi Wu, Yanhao Jia, Zhongliang Guo, Xiaobao Wu, Cong-Duy Nguyen, Guoming Zhang, Anh Tuan Luu

CoRR, July, 2025

Detecting Harmful Memes with Decoupled Understanding and Guided CoT Reasoning.

Fengjun Pan, Anh Tuan Luu, Xiaobao Wu

CoRR, June, 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, May, 2025

Aspect-Based Summarization with Self-Aspect Retrieval Enhanced Generation.

Yichao Feng, Shuai Zhao, Yueqiu Li, Luwei Xiao, Xiaobao Wu, Anh Tuan Luu

CoRR, April, 2025

HyperGraphRAG: Retrieval-Augmented Generation with Hypergraph-Structured Knowledge Representation.

Haoran Luo, Haihong E, Guanting Chen, Yandan Zheng, Xiaobao Wu, Yikai Guo, Qika Lin, Yu Feng, Ze-min Kuang, Meina Song, Yifan Zhu, Luu Anh Tuan

CoRR, March, 2025

CodeArena: A Collective Evaluation Platform for LLM Code Generation.

Mingzhe Du, Anh Tuan Luu, Bin Ji, Xiaobao Wu, Dong Huang, Terry Yue Zhuo, Qian Liu, See-Kiong Ng

CoRR, March, 2025

CutPaste&Find: Efficient Multimodal Hallucination Detector with Visual-aid Knowledge Base.

Cong-Duy Nguyen, Xiaobao Wu, Duc Anh Vu, Shuai Zhao, Thong Nguyen, Anh Tuan Luu

CoRR, February, 2025

Hierarchical Graph Topic Modeling with Topic Tree-based Transformer.

Delvin Ce Zhang, Menglin Yang, Xiaobao Wu, Jiasheng Zhang, Hady W. Lauw

CoRR, February, 2025

KBQA-o1: Agentic Knowledge Base Question Answering with Monte Carlo Tree Search.

Haoran Luo, Haihong E, Yikai Guo, Qika Lin, Xiaobao Wu, Xinyu Mu, Wenhao Liu, Meina Song, Yifan Zhu, Luu Anh Tuan

CoRR, January, 2025

Enhancing Multimodal Entity Linking with Jaccard Distance-based Conditional Contrastive Learning and Contextual Visual Augmentation.

Cong-Duy Nguyen, Xiaobao Wu, Thong Nguyen, Shuai Zhao, Khoi Le, Viet-Anh Nguyen, Yichao Feng, Anh Tuan Luu

CoRR, January, 2025

A Survey of Recent Backdoor Attacks and Defenses in Large Language Models.

Shuai Zhao, Meihuizi Jia, Zhongliang Guo, Leilei Gan, Xiaoyu Xu, Xiaobao Wu, Jie Fu, Yichao Feng, Fengjun Pan, Anh Tuan Luu

Trans. Mach. Learn. Res., 2025

Curriculum Demonstration Selection for In-Context Learning.

Duc Anh Vu, Cong-Duy Nguyen, Xiaobao Wu, Nhat M. Hoang, Mingzhe Du, Thong Nguyen, Anh Tuan Luu

Proceedings of the 40th ACM/SIGAPP Symposium on Applied Computing, 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, Khoi M. Le, Viet-Anh Nguyen, Yichao Feng, Anh Tuan Luu

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Zero-to-Strong Generalization: Eliciting Strong Capabilities of Large Language Models Iteratively without Gold Labels.

Chaoqun Liu, Qin Chao, Wenxuan Zhang, Xiaobao Wu, Boyang Li, Anh Tuan Luu, Lidong Bing

Proceedings of the 31st International Conference on Computational Linguistics, 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

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

SCOPE: Compress Mathematical Reasoning Steps for Efficient Automated Process Annotation.

Huimin Xu, Xin Mao, Feng-Lin Li, Xiaobao Wu, Wang Chen, Wei Zhang, Anh Tuan Luu

Proceedings of the Findings of the Association for Computational Linguistics, 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, Anh Tuan Luu

Proceedings of the Findings of the Association for Computational Linguistics, 2025

AntiLeakBench: Preventing Data Contamination by Automatically Constructing Benchmarks with Updated Real-World Knowledge.

Xiaobao Wu, Liangming Pan, Yuxi Xie, Ruiwen Zhou, Shuai Zhao, Yubo Ma, Mingzhe Du, Rui Mao, Anh Tuan Luu, William Yang Wang

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Towards Storage-Efficient Visual Document Retrieval: An Empirical Study on Reducing Patch-Level Embeddings.

Yubo Ma, Jinsong Li, Yuhang Zang, Xiaobao Wu, Xiaoyi Dong, Pan Zhang, Yuhang Cao, Haodong Duan, Jiaqi Wang, Yixin Cao, Aixin Sun

Proceedings of the Findings of the Association for Computational Linguistics, 2025

Unlearning Backdoor Attacks for LLMs with Weak-to-Strong Knowledge Distillation.

Shuai Zhao, Xiaobao Wu, Cong-Duy T. Nguyen, Yanhao Jia, Meihuizi Jia, Yichao Feng, Anh Tuan Luu

Proceedings of the Findings of the Association for Computational Linguistics, 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

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

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

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

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., October, 2024

A survey on neural topic models: methods, applications, and challenges.

Xiaobao Wu, Thong Nguyen, Anh Tuan Luu

Artif. Intell. Rev., February, 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, Yubo Ma, Mingzhe Du, Rui Mao, Anh Tuan Luu, William Yang Wang

CoRR, 2024

Unlearning Backdoor Attacks for LLMs with Weak-to-Strong Knowledge Distillation.

Shuai Zhao, Xiaobao Wu, Cong-Duy Nguyen, Meihuizi Jia, Yichao Feng, Luu Anh Tuan

CoRR, 2024

COrAL: Order-Agnostic Language Modeling for Efficient Iterative Refinement.

Yuxi Xie, Anirudh Goyal, Xiaobao Wu, Xunjian Yin, Xiao Xu, Min-Yen Kan, Liangming Pan, William Yang Wang

CoRR, 2024

Weak-to-Strong Backdoor Attack for Large Language Models.

Shuai Zhao, Leilei Gan, Zhongliang Guo, Xiaobao Wu, Luwei Xiao, Xiaoyu Xu, Cong-Duy Nguyen, Luu Anh Tuan

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

FASTopic: A Fast, Adaptive, Stable, and Transferable Topic Modeling Paradigm.

Xiaobao Wu, Thong Nguyen, Delvin Ce Zhang, William Yang Wang, 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

Topic Modeling as Multi-Objective Contrastive Optimization.

Thong Nguyen, Xiaobao Wu, Xinshuai Dong, Cong-Duy T. Nguyen, See-Kiong Ng, Anh Tuan Luu

CoRR, 2024

FASTopic: Pretrained Transformer is a Fast, Adaptive, Stable, and Transferable Topic Model.

Xiaobao Wu, Thong Nguyen, Delvin Zhang, William Yang Wang, Anh Tuan Luu

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

KDMCSE: Knowledge Distillation Multimodal Sentence Embeddings with Adaptive Angular margin Contrastive Learning.

Cong-Duy Nguyen, Thong Nguyen, Xiaobao Wu, Anh Tuan Luu

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 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

Proceedings of the Twelfth International Conference on Learning Representations, 2024

AKEW: Assessing Knowledge Editing in the Wild.

Xiaobao Wu, Liangming Pan, William Yang Wang, Anh Tuan Luu

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Are LLMs Good Zero-Shot Fallacy Classifiers?

Fengjun Pan, Xiaobao Wu, Zongrui Li, Anh Tuan Luu

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Encoding and Controlling Global Semantics for Long-form Video Question Answering.

Thong Nguyen, Zhiyuan Hu, Xiaobao Wu, Cong-Duy Nguyen, See-Kiong Ng, Anh Tuan Luu

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Meta-optimized Angular Margin Contrastive Framework for Video-Language Representation Learning.

Thong Nguyen, Yi Bin, Xiaobao Wu, Xinshuai Dong, Zhiyuan Hu, Khoi Le, Cong-Duy Nguyen, See-Kiong Ng, Luu Anh Tuan

Proceedings of the Computer Vision - ECCV 2024, 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, Anh Tuan Luu

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

On the Affinity, Rationality, and Diversity of Hierarchical Topic Modeling.

Xiaobao Wu, Fengjun Pan, Thong Nguyen, Yichao Feng, Chaoqun Liu, Cong-Duy Nguyen, Anh Tuan Luu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

READ-PVLA: Recurrent Adapter with Partial Video-Language Alignment for Parameter-Efficient Transfer Learning in Low-Resource Video-Language Modeling.

Thong Nguyen, Xiaobao Wu, Xinshuai Dong, Khoi M. Le, Zhiyuan Hu, Cong-Duy Nguyen, See-Kiong Ng, Anh Tuan Luu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

READ-PVLA: Recurrent Adapter with Partial Video-Language Alignment for Parameter-Efficient Transfer Learning in Low-Resource Video-Language Modeling.

Thong Nguyen, Xiaobao Wu, Xinshuai Dong, Khoi Le, Zhiyuan Hu, Cong-Duy Nguyen, See-Kiong Ng, Luu Anh Tuan

CoRR, 2023

Towards the TopMost: A Topic Modeling System Toolkit.

Xiaobao Wu, Fengjun Pan, Anh Tuan Luu

CoRR, 2023

Effective Neural Topic Modeling with Embedding Clustering Regularization.

Xiaobao Wu, Xinshuai Dong, Thong Nguyen, Anh Tuan Luu

CoRR, 2023

Effective Neural Topic Modeling with Embedding Clustering Regularization.

Xiaobao Wu, Xinshuai Dong, Thong Thanh Nguyen, Anh Tuan Luu

Proceedings of the International Conference on Machine Learning, 2023

DemaFormer: Damped Exponential Moving Average Transformer with Energy-Based Modeling for Temporal Language Grounding.

Thong Nguyen, Xiaobao Wu, Xinshuai Dong, Cong-Duy Nguyen, See-Kiong Ng, Anh Tuan Luu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 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

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Gradient-Boosted Decision Tree for Listwise Context Model in Multimodal Review Helpfulness Prediction.

Thong Nguyen, Xiaobao Wu, Xinshuai Dong, Cong-Duy Nguyen, Zhen Hai, Lidong Bing, Anh Tuan Luu

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Zero-Shot Text Classification via Self-Supervised Tuning.

Chaoqun Liu, Wenxuan Zhang, Guizhen Chen, Xiaobao Wu, Anh Tuan Luu, Chip-Hong Chang, Lidong Bing

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

InfoCTM: A Mutual Information Maximization Perspective of Cross-Lingual Topic Modeling.

Xiaobao Wu, Xinshuai Dong, Thong Nguyen, Chaoqun Liu, Liangming Pan, Anh Tuan Luu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Adaptive Contrastive Learning on Multimodal Transformer for Review Helpfulness Predictions.

Thong Nguyen, Xiaobao Wu, Anh Tuan Luu, Cong-Duy Nguyen, Zhen Hai, Lidong Bing

CoRR, 2022

Mitigating Data Sparsity for Short Text Topic Modeling by Topic-Semantic Contrastive Learning.

Xiaobao Wu, Anh Tuan Luu, Xinshuai Dong

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Adaptive Contrastive Learning on Multimodal Transformer for Review Helpfulness Prediction.

Thong Nguyen, Xiaobao Wu, Anh Tuan Luu, Zhen Hai, Lidong Bing

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

Discovering Topics in Long-tailed Corpora with Causal Intervention.

Xiaobao Wu, Chunping Li, Yishu Miao

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

Learning Multilingual Topics with Neural Variational Inference.

Xiaobao Wu, Chunping Li, Yan Zhu, Yishu Miao

Proceedings of the Natural Language Processing and Chinese Computing, 2020

Short Text Topic Modeling with Topic Distribution Quantization and Negative Sampling Decoder.

Xiaobao Wu, Chunping Li, Yan Zhu, Yishu Miao

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019

Short Text Topic Modeling with Flexible Word Patterns.

Xiaobao Wu, Chunping Li

Proceedings of the International Joint Conference on Neural Networks, 2019