2023 FiLM: Fill-in Language Models for Any-Order Generation Tianxiao Shen, Hao Peng, Ruoqi Shen, Yao Fu, Zaid Harchaoui, and Yejin Choi Preprint, 2023 arXiv Code Slides Generating Sequences by Learning to [Self-]Correct Sean Welleck*, Ximing Lu*, Peter West, Faeze Brahman, Tianxiao Shen, Daniel Khashabi, and Yejin Choi ICLR, 2023 arXiv 2022 Controlling Neural Language Generation Tianxiao Shen PhD thesis, MIT, 2022 PDF Text Style Transfer with Confounders Tianxiao Shen, Regina Barzilay, and Tommi Jaakkola Preprint, 2022 OpenReview Slides Controlling Directions Orthogonal to a Classifier Yilun Xu, Hao He, Tianxiao Shen, and Tommi Jaakkola ICLR, 2022 Spotlight arXiv 2020 Blank Language Models Tianxiao Shen*, Victor Quach*, Regina Barzilay, and Tommi Jaakkola EMNLP, 2020 arXiv Code Slides Video Educating Text Autoencoders: Latent Representation Guidance via Denoising Tianxiao Shen, Jonas Mueller, Regina Barzilay, and Tommi Jaakkola ICML, 2020 arXiv Code Slides Video 2019 Learning to Make Generalizable and Diverse Predictions for Retrosynthesis Benson Chen, Tianxiao Shen, Tommi Jaakkola, and Regina Barzilay Preprint, 2019 arXiv Mixture Models for Diverse Machine Translation: Tricks of the Trade Tianxiao Shen*, Myle Ott*, Michael Auli, and Marc’Aurelio Ranzato ICML, 2019 Long talk arXiv Code Slides Video 2017 Style Transfer from Non-Parallel Text by Cross-Alignment Tianxiao Shen, Tao Lei, Regina Barzilay, and Tommi Jaakkola NeurIPS, 2017 Spotlight arXiv Code Slides Video 2016 Making Dependency Labeling Simple, Fast and Accurate Tianxiao Shen, Tao Lei, and Regina Barzilay NAACL, 2016 PDF Code