Haw-Shiuan Chang

@inproceedings{chang2024copy,
  title = {To Copy, or not to Copy; That is a Critical Issue of the Output Softmax Layer in Neural Sequential Recommenders},
  author = {Chang, Haw-Shiuan and Agarwal, Nikhil and McCallum, Andrew},
  booktitle = {Proceedings of The 17th ACM Inernational Conference on Web Search and Data Mining},
  year = {2024},
  paper = {https://arxiv.org/abs/2310.14079},
}

@inproceedings{chang2023revisiting,
  title = {Revisiting the Architectures like Pointer Networks to Efficiently Improve the Next Word Distribution, Summarization Factuality, and Beyond},
  author = {Chang*, Haw-Shiuan and Yao*, Zonghai and Gon, Alolika and Yu, Hong and McCallum, Andrew},
  booktitle = {Findings of the Association for Computational Linguistics: ACL 2023 (Findings of ACL)},
  year = {2023},
  paper = {http://arxiv.org/abs/2305.12289},
}

@inproceedings{chang2023multi-cls,
  title = {Multi-CLS BERT: An Efficient Alternative to Traditional Ensembling},
  author = {Chang*, Haw-Shiuan and Sun*, Ruei-Yao and Ricci*, Kathryn and McCallum, Andrew},
  booktitle = {Annual Meeting of the Association for Computational Linguistics (ACL)},
  year = {2023},
  paper = {https://arxiv.org/abs/2210.05043},
}

@inproceedings{chang2022modeling,
  title = {Modeling the Multi-mode Distribution in Self-Supervised Language Models},
  author = {Chang, Haw-Shiuan},
  booktitle = {PhD Thesis},
  year = {2022},
  paper = {https://scholarworks.umass.edu/cgi/viewcontent.cgi?article=3783&context=dissertations_2},
}

@inproceedings{chang2022softmax,
  title = {Softmax Bottleneck Makes Language Models Unable to Represent Multi-mode Word Distributions},
  author = {Chang, Haw-Shiuan and McCallum, Andrew},
  booktitle = {Annual Meeting of the Association for Computational Linguistics (ACL)},
  year = {2022},
  paper = {https://aclanthology.org/2022.acl-long.554.pdf},
}

@article{chang2019ovecoming,
  author = {Chang, Haw-Shiuan and Vembu, Shankar and Mohan, Sunil and Uppaal, Rheeya and McCallum, Andrew},
  journal = {Machine Learning},
  paper = {http://arxiv.org/abs/1911.07335},
  title = {Using Error Decay Prediction to Overcome Practical Issues of Deep Active Learning for Named Entity Recognition},
  year = {2020},
  doi = {10.1007/s10994-020-05897-1},
  publisher = {Springer},
}

@inproceedings{DBLP:conf/edm/ChangHC15,
  author = {Chang, Haw{-}Shiuan and Hsu, Hwai{-}Jung and Chen, Kuan{-}Ta},
  title = {Modeling Exercise Relationships in E-Learning: A Unified Approach},
  booktitle = {International Conference on Educational Data Mining (EDM)},
  year = {2015},
  paper = {proj8-education-student modeling-paper.pdf},
  demo = {https://drive.google.com/file/d/1V5nEwmVkPclj_ZR-bKt9xzW7ApT6ZJo-/view?usp=sharing},
  dataset = {https://pslcdatashop.web.cmu.edu/DatasetInfo?datasetId=1198}
}