Sam Wiseman

According to our database, Sam Wiseman authored at least 37 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

MM1: Methods, Analysis & 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, Floris Weers, Anton Belyi, Haotian Zhang, Karanjeet Singh, Doug Kang, Ankur Jain, Hongyu Hè, Max Schwarzer, Tom Gunter, Xiang Kong, Aonan Zhang, Jianyu Wang, Chong Wang, Nan Du, Tao Lei, Sam Wiseman, Guoli Yin, Mark Lee, Zirui Wang, Ruoming Pang, Peter Grasch, Alexander Toshev, Yinfei Yang

CoRR, 2024

2023

BM25 Query Augmentation Learned End-to-End.

Xiaoyin Chen, Sam Wiseman

CoRR, 2023

Exploring the Effect of Frequency Resolution in FNet.

Gregory Szumel, Ghazal Khalighinejad, Rickard Stureborg, Sam Wiseman

Proceedings of The Fourth Workshop on Simple and Efficient Natural Language Processing, 2023

Seq2seq is All You Need for Coreference Resolution.

Wenzheng Zhang, Sam Wiseman, Karl Stratos

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Approximating CKY with Transformers.

Ghazal Khalighinejad, Ollie Liu, Sam Wiseman

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

The Mechanical Bard: An Interpretable Machine Learning Approach to Shakespearean Sonnet Generation.

Edwin Agnew, Michelle Qiu, Lily Zhu, Sam Wiseman, Cynthia Rudin

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

2022

CREATIVESUMM: Shared Task on Automatic Summarization for Creative Writing.

Divyansh Agarwal, Alexander R. Fabbri, Simeng Han, Wojciech Kryscinski, Faisal Ladhak, Bryan Li, Kathleen R. McKeown, Dragomir Radev, Tianyi Zhang, Sam Wiseman

CoRR, 2022

Baked-in State Probing.

Shubham Toshniwal, Sam Wiseman, Karen Livescu, Kevin Gimpel

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

SummScreen: A Dataset for Abstractive Screenplay Summarization.

Mingda Chen, Zewei Chu, Sam Wiseman, Kevin Gimpel

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Chess as a Testbed for Language Model State Tracking.

Shubham Toshniwal, Sam Wiseman, Karen Livescu, Kevin Gimpel

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

On Generalization in Coreference Resolution.

Shubham Toshniwal, Patrick Xia, Sam Wiseman, Karen Livescu, Kevin Gimpel

CoRR, 2021

Learning Chess Blindfolded: Evaluating Language Models on State Tracking.

Shubham Toshniwal, Sam Wiseman, Karen Livescu, Kevin Gimpel

CoRR, 2021

Generating (Formulaic) Text by Splicing Together Nearest Neighbors.

Sam Wiseman, Arturs Backurs, Karl Stratos

CoRR, 2021

Data-to-text Generation by Splicing Together Nearest Neighbors.

Sam Wiseman, Arturs Backurs, Karl Stratos

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

WikiTableT: A Large-Scale Data-to-Text Dataset for Generating Wikipedia Article Sections.

Mingda Chen, Sam Wiseman, Kevin Gimpel

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

Generating Wikipedia Article Sections from Diverse Data Sources.

Mingda Chen, Sam Wiseman, Kevin Gimpel

CoRR, 2020

Controllable Paraphrasing and Translation with a Syntactic Exemplar.

Mingda Chen, Sam Wiseman, Kevin Gimpel

CoRR, 2020

Learning Discrete Structured Representations by Adversarially Maximizing Mutual Information.

Karl Stratos, Sam Wiseman

Proceedings of the 37th International Conference on Machine Learning, 2020

Learning to Ignore: Long Document Coreference with Bounded Memory Neural Networks.

Shubham Toshniwal, Sam Wiseman, Allyson Ettinger, Karen Livescu, Kevin Gimpel

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

ENGINE: Energy-Based Inference Networks for Non-Autoregressive Machine Translation.

Lifu Tu, Richard Yuanzhe Pang, Sam Wiseman, Kevin Gimpel

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Discrete Latent Variable Representations for Low-Resource Text Classification.

Shuning Jin, Sam Wiseman, Karl Stratos, Karen Livescu

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Amortized Bethe Free Energy Minimization for Learning MRFs.

Sam Wiseman, Yoon Kim

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

A Multi-Task Approach for Disentangling Syntax and Semantics in Sentence Representations.

Mingda Chen, Qingming Tang, Sam Wiseman, Kevin Gimpel

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Learning Deep Latent-variable MRFs with Amortized Bethe Free Energy Minimization.

Sam Wiseman

Proceedings of the Deep Generative Models for Highly Structured Data, 2019

Label-Agnostic Sequence Labeling by Copying Nearest Neighbors.

Sam Wiseman, Karl Stratos

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Controllable Paraphrase Generation with a Syntactic Exemplar.

Mingda Chen, Qingming Tang, Sam Wiseman, Kevin Gimpel

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

A Tutorial on Deep Latent Variable Models of Natural Language.

Yoon Kim, Sam Wiseman, Alexander M. Rush

CoRR, 2018

Semi-Amortized Variational Autoencoders.

Yoon Kim, Sam Wiseman, Andrew C. Miller, David A. Sontag, Alexander M. Rush

Proceedings of the 35th International Conference on Machine Learning, 2018

Learning Neural Templates for Text Generation.

Sam Wiseman, Stuart M. Shieber, Alexander M. Rush

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Entity Tracking Improves Cloze-style Reading Comprehension.

Luong Hoang, Sam Wiseman, Alexander M. Rush

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2017

Training Language Models Using Target-Propagation.

Sam Wiseman, Sumit Chopra, Marc'Aurelio Ranzato, Arthur Szlam, Ruoyu Sun, Soumith Chintala, Nicolas Vasilache

CoRR, 2017

Challenges in Data-to-Document Generation.

Sam Wiseman, Stuart M. Shieber, Alexander M. Rush

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

2016

Antecedent Prediction Without a Pipeline.

Sam Wiseman, Alexander M. Rush, Stuart M. Shieber

Proceedings of the Workshop on Coreference Resolution Beyond OntoNotes, 2016

Learning Global Features for Coreference Resolution.

Sam Wiseman, Alexander M. Rush, Stuart M. Shieber

Proceedings of the NAACL HLT 2016, 2016

Sequence-to-Sequence Learning as Beam-Search Optimization.

Sam Wiseman, Alexander M. Rush

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

2015

Learning Anaphoricity and Antecedent Ranking Features for Coreference Resolution.

Sam Wiseman, Alexander M. Rush, Stuart M. Shieber, Jason Weston

Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

2014

Discriminatively Reranking Abductive Proofs for Plan Recognition.

Sam Wiseman, Stuart M. Shieber

Proceedings of the Twenty-Fourth International Conference on Automated Planning and Scheduling, 2014