@preprint{wu2025sailing,
  title = {Sailing AI by the Stars: A Survey of Learning from Rewards in Post-Training and Test-Time Scaling of Large Language Models},
  author = {Wu, Xiaobao},
  year = {2025},
  journal = {arXiv preprint arXiv:2505.02686},
  url = {https://arxiv.org/abs/2505.02686},
}

@inproceedings{wu2025antileak,
  title = {AntiLeak-Bench: Preventing Data Contamination by Automatically Constructing Benchmarks with Updated Real-World Knowledge},
  author = {Wu, Xiaobao and Pan, Liangming and Xie, Yuxi and Zhou, Ruiwen and Zhao, Shuai and Ma, Yubo and Du, Mingzhe and Mao, Rui and Luu, Anh Tuan and Wang, William Yang},
  booktitle = {Annual Meeting of the Association for Computational Linguistics (ACL)},
  year = {2025},
  url = {https://arxiv.org/pdf/2412.13670.pdf},
}

@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)},
}

@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},
}

@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},
}

@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 (AIR)},
  url = {https://doi.org/10.1007/s10462-023-10661-7},
  year = {2024},
  publisher = {Springer},
}

@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},
}

@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},
}

@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},
}

@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},
}

@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},
}