| 2024 | EMNLP | Explaining and Improving Contrastive Decoding by Extrapolating the Probabilities of a Huge and Hypothetical LM. | Haw-Shiuan Chang, Nanyun Peng, Mohit Bansal, Anil Ramakrishna, Tagyoung Chung |
| 2024 | EMNLP | LLM Self-Correction with DeCRIM: Decompose, Critique, and Refine for Enhanced Following of Instructions with Multiple Constraints. | Thomas Palmeira Ferraz, Kartik Mehta, Yu-Hsiang Lin, Haw-Shiuan Chang, Shereen Oraby, Sijia Liu, Vivek Subramanian, Tagyoung Chung, Mohit Bansal, Nanyun Peng |
| 2024 | WSDM | To Copy, or not to Copy; That is a Critical Issue of the Output Softmax Layer in Neural Sequential Recommenders. | Haw-Shiuan Chang, Nikhil Agarwal, Andrew McCallum |
| 2023 | ACL | Multi-CLS BERT: An Efficient Alternative to Traditional Ensembling. | Haw-Shiuan Chang, Ruei-Yao Sun, Kathryn Ricci, Andrew McCallum |
| 2023 | ACL | Revisiting the Architectures like Pointer Networks to Efficiently Improve the Next Word Distribution, Summarization Factuality, and Beyond. | Haw-Shiuan Chang, Zonghai Yao, Alolika Gon, Hong Yu, Andrew McCallum |
| 2022 | ACL | Softmax Bottleneck Makes Language Models Unable to Represent Multi-mode Word Distributions. | Haw-Shiuan Chang, Andrew McCallum |
| 2022 | COLING | Unsupervised Partial Sentence Matching for Cited Text Identification. | Kathryn Ricci, Haw-Shiuan Chang, Purujit Goyal, Andrew McCallum |
| 2021 | AAAI | Extending Multi-Sense Word Embedding to Phrases and Sentences for Unsupervised Semantic Applications. | Haw-Shiuan Chang, Amol Agrawal, Andrew McCallum |
| 2021 | EACL | Changing the Mind of Transformers for Topically-Controllable Language Generation. | Haw-Shiuan Chang, Jiaming Yuan, Mohit Iyyer, Andrew McCallum |
| 2021 | EACL | Multi-facet Universal Schema. | Rohan Paul, Haw-Shiuan Chang, Andrew McCallum |
| 2021 | EMNLP | Open Aspect Target Sentiment Classification with Natural Language Prompts. | Ronald Seoh, Ian Birle, Mrinal Tak, Haw-Shiuan Chang, Brian Pinette, Alfred Hough |
| 2020 | KDD | AutoKnow: Self-Driving Knowledge Collection for Products of Thousands of Types. | Xin Luna Dong, Xiang He, Andrey Kan, Xian Li, Yan Liang, Jun Ma, Yifan Ethan Xu, Chenwei Zhang, Tong Zhao, Gabriel Blanco Saldana, Saurabh Deshpande, Alexandre Michetti Manduca, Jay Ren, Surender Pal Singh, Fan Xiao, Haw-Shiuan Chang, Giannis Karamanolakis, Yuning Mao, Yaqing Wang, Christos Faloutsos, Andrew McCallum, Jiawei Han |
| 2018 | NAACL | Distributional Inclusion Vector Embedding for Unsupervised Hypernymy Detection. | Haw-Shiuan Chang, ZiYun Wang, Luke Vilnis, Andrew McCallum |
| 2015 | EDM | Modeling Exercise Relationships in E-Learning: A Unified Approach. | Haw-Shiuan Chang, Hwai-Jung Hsu, Kuan-Ta Chen |
| 2014 | ACCV | Simple-to-Complex Discriminative Clustering for Hierarchical Image Segmentation. | Haw-Shiuan Chang, Yu-Chiang Frank Wang |
| 2013 | ICIP | Superpixel-based large displacement optical flow. | Haw-Shiuan Chang, Yu-Chiang Frank Wang |