| 2024 | COLING | Sequence Reducible Holdout Loss for Language Model Pretraining. | Raghuveer Thirukovalluru, Nicholas Monath, Bhuwan Dhingra, Sam Wiseman |
| 2024 | ECCV | MM1: Methods, Analysis and Insights from Multimodal LLM Pre-training. | Brandon McKinzie, Zhe Gan, Jean-Philippe Fauconnier, Sam Dodge, Bowen Zhang, Philipp Dufter, Dhruti Shah, Xianzhi Du, Futang Peng, Anton Belyi, Haotian Zhang, Karanjeet Singh, Doug Kang, Hongyu H, Max Schwarzer, Tom Gunter, Xiang Kong, Aonan Zhang, Jianyu Wang, Chong Wang, Nan Du, Tao Lei, Sam Wiseman, Mark Lee, Zirui Wang, Ruoming Pang, Peter Grasch, Alexander Toshev, Yinfei Yang |
| 2023 | ACL | The Mechanical Bard: An Interpretable Machine Learning Approach to Shakespearean Sonnet Generation. | Edwin Agnew, Michelle Qiu, Lily Zhu, Sam Wiseman, Cynthia Rudin |
| 2023 | EMNLP | Approximating CKY with Transformers. | Ghazal Khalighinejad, Ollie Liu, Sam Wiseman |
| 2023 | EMNLP | Seq2seq is All You Need for Coreference Resolution. | Wenzheng Zhang, Sam Wiseman, Karl Stratos |
| 2022 | AAAI | Chess as a Testbed for Language Model State Tracking. | Shubham Toshniwal, Sam Wiseman, Karen Livescu, Kevin Gimpel |
| 2022 | ACL | SummScreen: A Dataset for Abstractive Screenplay Summarization. | Mingda Chen, Zewei Chu, Sam Wiseman, Kevin Gimpel |
| 2022 | EMNLP | Baked-in State Probing. | Shubham Toshniwal, Sam Wiseman, Karen Livescu, Kevin Gimpel |
| 2021 | ACL | WikiTableT: A Large-Scale Data-to-Text Dataset for Generating Wikipedia Article Sections. | Mingda Chen, Sam Wiseman, Kevin Gimpel |
| 2021 | EMNLP | Data-to-text Generation by Splicing Together Nearest Neighbors. | Sam Wiseman, Arturs Backurs, Karl Stratos |
| 2020 | ACL | Discrete Latent Variable Representations for Low-Resource Text Classification. | Shuning Jin, Sam Wiseman, Karl Stratos, Karen Livescu |
| 2020 | ACL | ENGINE: Energy-Based Inference Networks for Non-Autoregressive Machine Translation. | Lifu Tu, Richard Yuanzhe Pang, Sam Wiseman, Kevin Gimpel |
| 2020 | EMNLP | Learning to Ignore: Long Document Coreference with Bounded Memory Neural Networks. | Shubham Toshniwal, Sam Wiseman, Allyson Ettinger, Karen Livescu, Kevin Gimpel |
| 2020 | ICML | Learning Discrete Structured Representations by Adversarially Maximizing Mutual Information. | Karl Stratos, Sam Wiseman |
| 2019 | ACL | Controllable Paraphrase Generation with a Syntactic Exemplar. | Mingda Chen, Qingming Tang, Sam Wiseman, Kevin Gimpel |
| 2019 | ACL | Label-Agnostic Sequence Labeling by Copying Nearest Neighbors. | Sam Wiseman, Karl Stratos |
| 2019 | ICLR | Learning Deep Latent-variable MRFs with Amortized Bethe Free Energy Minimization. | Sam Wiseman |
| 2019 | NAACL | A Multi-Task Approach for Disentangling Syntax and Semantics in Sentence Representations. | Mingda Chen, Qingming Tang, Sam Wiseman, Kevin Gimpel |
| 2018 | EMNLP | Entity Tracking Improves Cloze-style Reading Comprehension. | Luong Hoang, Sam Wiseman, Alexander M. Rush |
| 2018 | EMNLP | Learning Neural Templates for Text Generation. | Sam Wiseman, Stuart M. Shieber, Alexander M. Rush |
| 2018 | ICML | Semi-Amortized Variational Autoencoders. | Yoon Kim, Sam Wiseman, Andrew C. Miller, David A. Sontag, Alexander M. Rush |
| 2017 | EMNLP | Challenges in Data-to-Document Generation. | Sam Wiseman, Stuart M. Shieber, Alexander M. Rush |
| 2016 | EMNLP | Sequence-to-Sequence Learning as Beam-Search Optimization. | Sam Wiseman, Alexander M. Rush |
| 2016 | NAACL | Learning Global Features for Coreference Resolution. | Sam Wiseman, Alexander M. Rush, Stuart M. Shieber |
| 2016 | NAACL | Antecedent Prediction Without a Pipeline. | Sam Wiseman, Alexander M. Rush, Stuart M. Shieber |
| 2015 | ACL | Learning Anaphoricity and Antecedent Ranking Features for Coreference Resolution. | Sam Wiseman, Alexander M. Rush, Stuart M. Shieber, Jason Weston |