Making Dependency Labeling Simple, Fast and Accurate. - Tianxiao Shen; Tao Lei 001; Regina Barzilay (HLT-NAACL, 2016)

Style Transfer from Non-Parallel Text by Cross-Alignment. - Tianxiao Shen; Tao Lei 001; Regina Barzilay; Tommi S. Jaakkola (NIPS, 2017)

Mixture Models for Diverse Machine Translation: Tricks of the Trade. - Tianxiao Shen; Myle Ott; Michael Auli; Marc'Aurelio Ranzato (ICML, 2019)

Latent Space Secrets of Denoising Text-Autoencoders. - Tianxiao Shen; Jonas Mueller 001; Regina Barzilay; Tommi S. Jaakkola (CoRR, 2019)

Learning to Make Generalizable and Diverse Predictions for Retrosynthesis. - Benson Chen; Tianxiao Shen; Tommi S. Jaakkola; Regina Barzilay (CoRR, 2019)

Blank Language Models. - Tianxiao Shen; Victor Quach; Regina Barzilay; Tommi S. Jaakkola (EMNLP (1), 2020)

Educating Text Autoencoders: Latent Representation Guidance via Denoising. - Tianxiao Shen; Jonas Mueller 001; Regina Barzilay; Tommi S. Jaakkola (ICML, 2020)

Controlling Directions Orthogonal to a Classifier. - Yilun Xu; Hao He 011; Tianxiao Shen; Tommi S. Jaakkola (ICLR, 2022)

Controlling Neural Language Generation - Tianxiao Shen (2022)

Generating Sequences by Learning to Self-Correct. - Sean Welleck; Ximing Lu; Peter West; Faeze Brahman; Tianxiao Shen; Daniel Khashabi; Yejin Choi 001 (ICLR, 2023)

FiLM: Fill-in Language Models for Any-Order Generation. - Tianxiao Shen; Hao Peng 009; Ruoqi Shen; Yao Fu; Zaïd Harchaoui; Yejin Choi 001 (CoRR, 2023)