Publications | Xiaobao Wu

Please see my Google Scholar for the most up-to-date list of publications.

Conference & Journal Papers

2024

NeurIPS

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

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

In Neural Information Processing Systems (NeurIPS), 2024

Bib PDF Code

@inproceedings{wu2024fastopic,
  title = {FASTopic: Pretrained Transformer is a Fast, Adaptive, Stable, and Transferable Topic Model},
  author = {Wu, Xiaobao and Nguyen, Thong and Zhang, Delvin Ce and Wang, William Yang and Luu, Anh Tuan},
  journal = {arXiv preprint arXiv:2405.17978},
  year = {2024},
  url = {https://arxiv.org/pdf/2405.17978},
  booktitle = {Neural Information Processing Systems (NeurIPS)},
  github_repo = {bobxwu/FASTopic}
}

EMNLP

AKEW: Assessing Knowledge Editing in the Wild

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

In Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024

Bib PDF Code

@inproceedings{wu2024akew,
  title = {AKEW: Assessing Knowledge Editing in the Wild},
  author = {Wu, Xiaobao and Pan, Liangming and Wang, William Yang and Luu, Anh Tuan},
  year = {2024},
  booktitle = {Conference on Empirical Methods in Natural Language Processing (EMNLP)},
  url = {https://arxiv.org/pdf/2402.18909},
}

EMNLP

Are LLMs Good Zero-shot Fallacy Classifiers?

Fengjun Pan^*, Xiaobao Wu^*, Zongrui Li, and Anh Tuan Luu

In Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024

Bib PDF Code

@inproceedings{pan2024fallacy,
  title = {Are LLMs Good Zero-shot Fallacy Classifiers?},
  author = {Pan, Fengjun and Wu, Xiaobao and Li, Zongrui and Luu, Anh Tuan},
  year = {2024},
  booktitle = {Conference on Empirical Methods in Natural Language Processing (EMNLP)},
  url = {https://arxiv.org/pdf/2410.15050},
}

EMNLP

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

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

In Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024

Bib PDF Code

@inproceedings{nguyen2024encoding,
  title = {Encoding and Controlling Global Semantics for Long-form Video Question Answering},
  author = {Nguyen, Thong Thanh and Hu, Zhiyuan and Wu, Xiaobao and Nguyen, Cong-Duy and Ng, See-Kiong and Luu, Anh Tuan},
  year = {2024},
  url = {https://arxiv.org/pdf/2405.19723},
  booktitle = {Conference on Empirical Methods in Natural Language Processing (EMNLP)},
}

AIR

A Survey on Neural Topic Models: Methods, Applications, and Challenges

Xiaobao Wu, Thong Nguyen, and Anh Tuan Luu

Artificial Intelligence Review, 2024

Bib PDF Code

@article{wu2024survey,
  title = {A Survey on Neural Topic Models: Methods, Applications, and Challenges},
  author = {Wu, Xiaobao and Nguyen, Thong and Luu, Anh Tuan},
  journal = {Artificial Intelligence Review},
  url = {https://doi.org/10.1007/s10462-023-10661-7},
  year = {2024},
  publisher = {Springer},
  github_repo = {BobXWu/Paper-Neural-Topic-Models}
}

ACL Demo

Towards the TopMost: A Topic Modeling System Toolkit

Xiaobao Wu, Fengjun Pan, and Anh Tuan Luu

In The Annual Meeting of Association for Computational Linguistics: System Demonstration Track, 2024

Bib PDF Code

@inproceedings{wu2024topmost,
  title = {Towards the TopMost: A Topic Modeling System Toolkit},
  author = {Wu, Xiaobao and Pan, Fengjun and Luu, Anh Tuan},
  year = {2024},
  booktitle = {The Annual Meeting of Association for Computational Linguistics: System Demonstration Track},
  url = {https://arxiv.org/pdf/2309.06908.pdf},
  github_repo = {bobxwu/topmost}
}

AAAI

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

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

In AAAI Conference on Artificial Intelligence (AAAI), 2024

Bib PDF Code

@inproceedings{wu2024traco,
  title = {On the Affinity, Rationality, and Diversity of Hierarchical Topic Modeling},
  author = {Wu, Xiaobao and Pan, Fengjun and Nguyen, Thong and Feng, Yichao and Liu, Chaoqun and Nguyen, Cong-Duy and Luu, Anh Tuan},
  year = {2024},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  url = {https://arxiv.org/pdf/2401.14113.pdf},
  github_repo = {bobxwu/TraCo}
}

ACL Findings

Modeling Dynamic Topics in Chain-Free Fashion by Evolution-Tracking Contrastive Learning and Unassociated Word Exclusion

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

In Findings of Annual Meeting of the Association for Computational Linguistics (ACL), 2024

Bib PDF Code

@inproceedings{wu2024dynamic,
  title = {Modeling Dynamic Topics in Chain-Free Fashion by Evolution-Tracking Contrastive Learning and Unassociated Word Exclusion},
  author = {Wu, Xiaobao and Dong, Xinshuai and Pan, Liangming and Nguyen, Thong and Luu, Anh Tuan},
  year = {2024},
  booktitle = {Findings of Annual Meeting of the Association for Computational Linguistics (ACL)},
  github_repo = {bobxwu/CFDTM}
}

ECCV

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, and Luu Anh Tuan

In European Conference on Computer Vision (ECCV), 2024

Bib PDF

@inproceedings{nguyen2024meta,
  title = {Meta-optimized Angular Margin Contrastive Framework for Video-Language Representation Learning},
  author = {Nguyen, Thong and Bin, Yi and Wu, Xiaobao and Dong, Xinshuai and Hu, Zhiyuan and Le, Khoi and Nguyen, Cong-Duy and Ng, See-Kiong and Tuan, Luu Anh},
  booktitle = {European Conference on Computer Vision (ECCV)},
  year = {2024},
  url = {https://arxiv.org/abs/2407.03788},
}

AAAI

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, and Anh Tuan Luu

In Proceedings of the AAAI Conference on Artificial Intelligence, 2024

Bib PDF

@inproceedings{nguyen2024read,
  title = {READ-PVLA: Recurrent Adapter with Partial Video-Language Alignment for Parameter-Efficient Transfer Learning in Low-Resource Video-Language Modeling},
  author = {Nguyen, Thong and Wu, Xiaobao and Dong, Xinshuai and Le, Khoi M and Hu, Zhiyuan and Nguyen, Cong-Duy and Ng, See-Kiong and Luu, Anh Tuan},
  booktitle = {Proceedings of the AAAI Conference on Artificial Intelligence},
  volume = {38},
  number = {17},
  pages = {18824--18832},
  year = {2024},
}

ICLR

Topic Modeling as Multi-Objective Contrastive Optimization

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

In International Conference on Learning Representations (ICLR), 2024

Bib PDF

@inproceedings{nguyen2024topic,
  title = {Topic Modeling as Multi-Objective Contrastive Optimization},
  author = {Nguyen, Thong Thanh and Wu, Xiaobao and Dong, Xinshuai and Nguyen, Cong-Duy T and Ng, See-Kiong and Luu, Anh Tuan},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://openreview.net/forum?id=HdAoLSBYXj},
}

NAACL

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

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

In Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2024

Bib PDF Code

@inproceedings{nguyen2024kdmcse,
  title = {KDMCSE: Knowledge Distillation Multimodal Sentence Embeddings with Adaptive Angular margin Contrastive Learning},
  author = {Nguyen, Cong-Duy and Nguyen, Thong and Wu, Xiaobao and Luu, Anh Tuan},
  booktitle = {Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)},
  year = {2024},
}

2023

ICML

Effective Neural Topic Modeling with Embedding Clustering Regularization

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

In International Conference on Machine Learning (ICML), 2023

Bib PDF Code

@inproceedings{wu2023effective,
  title = {Effective Neural Topic Modeling with Embedding Clustering Regularization},
  author = {Wu, Xiaobao and Dong, Xinshuai and Nguyen, Thong and Luu, Anh Tuan},
  year = {2023},
  booktitle = {International Conference on Machine Learning (ICML)},
  url = {https://arxiv.org/pdf/2306.04217},
  organization = {PMLR},
  github_repo = {bobxwu/ECRTM}
}

AAAI Oral Presentation

Infoctm: A Mutual Information Maximization Perspective of Cross-lingual Topic Modeling

Xiaobao Wu, Xinshuai Dong, Thong Nguyen, Chaoqun Liu, Liang-Ming Pan, and Anh Tuan Luu

In AAAI Conference on Artificial Intelligence (AAAI), 2023

Bib PDF Code

@inproceedings{wu2023infoctm,
  oral = {true},
  title = {Infoctm: A Mutual Information Maximization Perspective of Cross-lingual Topic Modeling},
  author = {Wu, Xiaobao and Dong, Xinshuai and Nguyen, Thong and Liu, Chaoqun and Pan, Liang-Ming and Luu, Anh Tuan},
  year = {2023},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  volume = {37},
  pages = {13763--13771},
  url = {https://arxiv.org/pdf/2304.03544},
  github_repo = {bobxwu/InfoCTM}
}

ACL

Fact-Checking Complex Claims with Program-Guided Reasoning

Liangming Pan, Xiaobao Wu, Xinyuan Lu, Anh Tuan Luu, William Yang Wang, Min-Yen Kan, and Preslav Nakov

In Annual Meeting of the Association for Computational Linguistics (ACL), 2023

Bib PDF Code

@inproceedings{pan2023fact,
  title = {Fact-Checking Complex Claims with Program-Guided Reasoning},
  author = {Pan, Liangming and Wu, Xiaobao and Lu, Xinyuan and Luu, Anh Tuan and Wang, William Yang and Kan, Min-Yen and Nakov, Preslav},
  booktitle = {Annual Meeting of the Association for Computational Linguistics (ACL)},
  year = {2023},
  address = {Toronto, Canada},
  publisher = {Association for Computational Linguistics},
  url = {https://aclanthology.org/2023.acl-long.386},
  pages = {6981--7004},
  github_repo = {teacherpeterpan/ProgramFC}
}

EMNLP Findings

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, and Anh Luu

In Findings of Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023

Bib PDF

@inproceedings{nguyen2023demaformer,
  title = {DemaFormer: Damped Exponential Moving Average Transformer with Energy-Based Modeling for Temporal Language Grounding},
  author = {Nguyen, Thong and Wu, Xiaobao and Dong, Xinshuai and Nguyen, Cong-Duy and Ng, See Kiong and Luu, Anh},
  booktitle = {Findings of Conference on Empirical Methods in Natural Language Processing (EMNLP)},
  pages = {3635--3649},
  year = {2023},
}

ACL Findings

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

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

In Annual Meeting of the Association for Computational Linguistics (ACL), 2023

Bib PDF

@inproceedings{nguyen2023gradient,
  title = {Gradient-Boosted Decision Tree for Listwise Context Model in Multimodal Review Helpfulness Prediction},
  author = {Nguyen, Thong Thanh and Wu, Xiaobao and Dong, Xinshuai and Nguyen, Cong-Duy T and Hai, Zhen and Bing, Lidong and Luu, Anh Tuan},
  booktitle = {Annual Meeting of the Association for Computational Linguistics (ACL)},
  year = {2023},
  url = {https://aclanthology.org/2023.findings-acl.106.pdf},
}

ACL Findings

Zero-Shot Text Classification via Self-Supervised Tuning

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

In Findings of Annual Meeting of the Association for Computational Linguistics (ACL), 2023

Bib PDF Code

@inproceedings{liu2023zero,
  title = {Zero-Shot Text Classification via Self-Supervised Tuning},
  author = {Liu, Chaoqun and Zhang, Wenxuan and Chen, Guizhen and Wu, Xiaobao and Luu, Anh Tuan and Chang, Chip Hong and Bing, Lidong},
  booktitle = {Findings of Annual Meeting of the Association for Computational Linguistics (ACL)},
  pages = {1743--1761},
  year = {2023},
}

2022

EMNLP

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

Xiaobao Wu, Anh Tuan Luu, and Xinshuai Dong

In Conference on Empirical Methods in Natural Language Processing (EMNLP), Dec 2022

Bib PDF Code

@inproceedings{wu2022mitigating,
  title = {Mitigating Data Sparsity for Short Text Topic Modeling by Topic-Semantic Contrastive Learning},
  author = {Wu, Xiaobao and Luu, Anh Tuan and Dong, Xinshuai},
  year = {2022},
  month = dec,
  booktitle = {Conference on Empirical Methods in Natural Language Processing (EMNLP)},
  publisher = {Association for Computational Linguistics},
  address = {Abu Dhabi, United Arab Emirates},
  pages = {2748--2760},
  url = {https://aclanthology.org/2022.emnlp-main.176},
  github_repo = {bobxwu/TSCTM}
}

EMNLP

Adaptive Contrastive Learning on Multimodal Transformer for Review Helpfulness Predictions

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

In Conference on Empirical Methods in Natural Language Processing (EMNLP), Dec 2022

Bib PDF

@inproceedings{nguyen2022adaptive,
  title = {Adaptive Contrastive Learning on Multimodal Transformer for Review Helpfulness Predictions},
  author = {Nguyen, Thong and Wu, Xiaobao and Luu, Anh-Tuan and Nguyen, Cong-Duy and Hai, Zhen and Bing, Lidong},
  booktitle = {Conference on Empirical Methods in Natural Language Processing (EMNLP)},
  year = {2022},
}

2021

ACL Findings

Discovering Topics in Long-tailed Corpora with Causal Intervention

Xiaobao Wu, Chunping Li, and Yishu Miao

In Findings of Annual Meeting of the Association for Computational Linguistics (ACL), Aug 2021

Bib PDF Code

@inproceedings{wu2021discovering,
  title = {Discovering Topics in Long-tailed Corpora with Causal Intervention},
  author = {Wu, Xiaobao and Li, Chunping and Miao, Yishu},
  year = {2021},
  month = aug,
  booktitle = {Findings of Annual Meeting of the Association for Computational Linguistics (ACL)},
  publisher = {Association for Computational Linguistics},
  address = {Online},
  pages = {175--185},
  doi = {10.18653/v1/2021.findings-acl.15},
  url = {https://aclanthology.org/2021.findings-acl.15},
}

2020

EMNLP

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

Xiaobao Wu, Chunping Li, Yan Zhu, and Yishu Miao

In Conference on Empirical Methods in Natural Language Processing (EMNLP), Nov 2020

Bib PDF Code

@inproceedings{wu2020short,
  title = {Short Text Topic Modeling with Topic Distribution Quantization and Negative Sampling Decoder},
  author = {Wu, Xiaobao and Li, Chunping and Zhu, Yan and Miao, Yishu},
  year = {2020},
  month = nov,
  booktitle = {Conference on Empirical Methods in Natural Language Processing (EMNLP)},
  address = {Online},
  pages = {1772--1782},
  url = {https://aclanthology.org/2020.emnlp-main.138.pdf},
  github_repo = {bobxwu/NQTM}
}

NLPCC Oral Presentation

Learning Multilingual Topics with Neural Variational Inference

Xiaobao Wu, Chunping Li, Yan Zhu, and Yishu Miao

In International Conference on Natural Language Processing and Chinese Computing (NLPCC), Nov 2020

Bib PDF Code

@inproceedings{wu2020learning,
  oral = {true},
  title = {{Learning Multilingual Topics with Neural Variational Inference}},
  author = {Wu, Xiaobao and Li, Chunping and Zhu, Yan and Miao, Yishu},
  year = {2020},
  booktitle = {International Conference on Natural Language Processing and Chinese Computing (NLPCC)},
  url = {https://link.springer.com/chapter/10.1007/978-3-030-60450-9_66},
}

2019

IJCNN

Short Text Topic Modeling with Flexible Word Patterns

Xiaobao Wu, and Chunping Li

In International Joint Conference on Neural Networks (IJCNN), Nov 2019

Bib PDF Code

@inproceedings{wu2019short,
  title = {{Short Text Topic Modeling with Flexible Word Patterns}},
  author = {Wu, Xiaobao and Li, Chunping},
  year = {2019},
  booktitle = {International Joint Conference on Neural Networks (IJCNN)},
  url = {https://ieeexplore.ieee.org/abstract/document/8852366/},
  github_repo = {BobXWu/Multiterm-Topic-Model}
}