Discriminatively Reranking Abductive Proofs for Plan Recognition. - Sam Wiseman; Stuart M. Shieber (ICAPS, 2014)

Learning Anaphoricity and Antecedent Ranking Features for Coreference Resolution. - Sam Wiseman; Alexander M. Rush; Stuart M. Shieber; Jason Weston (ACL (1), 2015)

Sequence-to-Sequence Learning as Beam-Search Optimization. - Sam Wiseman; Alexander M. Rush (EMNLP, 2016)

Learning Global Features for Coreference Resolution. - Sam Wiseman; Alexander M. Rush; Stuart M. Shieber (HLT-NAACL, 2016)

Antecedent Prediction Without a Pipeline. - Sam Wiseman; Alexander M. Rush; Stuart M. Shieber (CORBON@HLT-NAACL, 2016)

Challenges in Data-to-Document Generation. - Sam Wiseman; Stuart M. Shieber; Alexander M. Rush (EMNLP, 2017)

Training Language Models Using Target-Propagation. - Sam Wiseman; Sumit Chopra; Marc'Aurelio Ranzato; Arthur Szlam; Ruoyu Sun 004; Soumith Chintala; Nicolas Vasilache (CoRR, 2017)

Entity Tracking Improves Cloze-style Reading Comprehension. - Luong Hoang; Sam Wiseman; Alexander M. Rush (EMNLP, 2018)

Learning Neural Templates for Text Generation. - Sam Wiseman; Stuart M. Shieber; Alexander M. Rush (EMNLP, 2018)

Semi-Amortized Variational Autoencoders. - Yoon Kim; Sam Wiseman; Andrew C. Miller; David A. Sontag; Alexander M. Rush (ICML, 2018)

A Tutorial on Deep Latent Variable Models of Natural Language. - Yoon Kim; Sam Wiseman; Alexander M. Rush (CoRR, 2018)

Controllable Paraphrase Generation with a Syntactic Exemplar. - Mingda Chen; Qingming Tang; Sam Wiseman; Kevin Gimpel (ACL (1), 2019)

Label-Agnostic Sequence Labeling by Copying Nearest Neighbors. - Sam Wiseman; Karl Stratos (ACL (1), 2019)

Learning Deep Latent-variable MRFs with Amortized Bethe Free Energy Minimization. - Sam Wiseman (DGS@ICLR, 2019)

A Multi-Task Approach for Disentangling Syntax and Semantics in Sentence Representations. - Mingda Chen; Qingming Tang; Sam Wiseman; Kevin Gimpel (NAACL-HLT (1), 2019)

Amortized Bethe Free Energy Minimization for Learning MRFs. - Sam Wiseman; Yoon Kim (NeurIPS, 2019)

Discrete Latent Variable Representations for Low-Resource Text Classification. - Shuning Jin; Sam Wiseman; Karl Stratos; Karen Livescu (ACL, 2020)

ENGINE: Energy-Based Inference Networks for Non-Autoregressive Machine Translation. - Lifu Tu; Richard Yuanzhe Pang; Sam Wiseman; Kevin Gimpel (ACL, 2020)

Learning to Ignore: Long Document Coreference with Bounded Memory Neural Networks. - Shubham Toshniwal; Sam Wiseman; Allyson Ettinger; Karen Livescu; Kevin Gimpel (EMNLP (1), 2020)

Learning Discrete Structured Representations by Adversarially Maximizing Mutual Information. - Karl Stratos; Sam Wiseman (ICML, 2020)

Controllable Paraphrasing and Translation with a Syntactic Exemplar. - Mingda Chen; Sam Wiseman; Kevin Gimpel (CoRR, 2020)

Generating Wikipedia Article Sections from Diverse Data Sources. - Mingda Chen; Sam Wiseman; Kevin Gimpel (CoRR, 2020)

WikiTableT: A Large-Scale Data-to-Text Dataset for Generating Wikipedia Article Sections. - Mingda Chen; Sam Wiseman; Kevin Gimpel (ACL/IJCNLP (Findings), 2021)

Data-to-text Generation by Splicing Together Nearest Neighbors. - Sam Wiseman; Arturs Backurs; Karl Stratos (EMNLP (1), 2021)

Generating (Formulaic) Text by Splicing Together Nearest Neighbors. - Sam Wiseman; Arturs Backurs; Karl Stratos (CoRR, 2021)

Learning Chess Blindfolded: Evaluating Language Models on State Tracking. - Shubham Toshniwal; Sam Wiseman; Karen Livescu; Kevin Gimpel (CoRR, 2021)

On Generalization in Coreference Resolution. - Shubham Toshniwal; Patrick Xia 002; Sam Wiseman; Karen Livescu; Kevin Gimpel (CoRR, 2021)

Chess as a Testbed for Language Model State Tracking. - Shubham Toshniwal; Sam Wiseman; Karen Livescu; Kevin Gimpel (AAAI, 2022)

SummScreen: A Dataset for Abstractive Screenplay Summarization. - Mingda Chen; Zewei Chu; Sam Wiseman; Kevin Gimpel (ACL (1), 2022)

Baked-in State Probing. - Shubham Toshniwal; Sam Wiseman; Karen Livescu; Kevin Gimpel (EMNLP (Findings), 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)

The Mechanical Bard: An Interpretable Machine Learning Approach to Shakespearean Sonnet Generation. - Edwin Agnew; Michelle Qiu; Lily Zhu; Sam Wiseman; Cynthia Rudin (ACL (2), 2023)

Approximating CKY with Transformers. - Ghazal Khalighinejad; Ollie Liu; Sam Wiseman (EMNLP (Findings), 2023)

Seq2seq is All You Need for Coreference Resolution. - Wenzheng Zhang 003; Sam Wiseman; Karl Stratos (EMNLP, 2023)

Exploring the Effect of Frequency Resolution in FNet. - Gregory Szumel; Ghazal Khalighinejad; Rickard Stureborg; Sam Wiseman (SustaiNLP, 2023)

BM25 Query Augmentation Learned End-to-End. - Xiaoyin Chen; Sam Wiseman (CoRR, 2023)

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models. - Aarohi Srivastava; Abhinav Rastogi; Abhishek Rao; Abu Awal Md Shoeb; Abubakar Abid; Adam Fisch; Adam R. Brown; Adam Santoro; Aditya Gupta; Adrià Garriga-Alonso; Agnieszka Kluska; Aitor Lewkowycz; et al. (Trans. Mach. Learn. Res., 2023)

Sequence Reducible Holdout Loss for Language Model Pretraining. - Raghuveer Thirukovalluru; Nicholas Monath; Bhuwan Dhingra; Sam Wiseman (LREC/COLING, 2024)

MM1: Methods, Analysis and Insights from Multimodal LLM Pre-training. - Brandon McKinzie; Zhe Gan; Jean-Philippe Fauconnier; Sam Dodge; Bowen Zhang 002; Philipp Dufter; Dhruti Shah; Xianzhi Du; Futang Peng; Anton Belyi; Haotian Zhang 005; Karanjeet Singh 003; et al. (ECCV (29), 2024)

MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training. - Brandon McKinzie; Zhe Gan; Jean-Philippe Fauconnier; Sam Dodge; Bowen Zhang 002; Philipp Dufter; Dhruti Shah; Xianzhi Du; Futang Peng; Floris Weers; Anton Belyi; Haotian Zhang 005; et al. (CoRR, 2024)

ChatShop: Interactive Information Seeking with Language Agents. - Sanxing Chen; Sam Wiseman; Bhuwan Dhingra (CoRR, 2024)

Apple Intelligence Foundation Language Models. - Tom Gunter; Zirui Wang; Chong Wang; Ruoming Pang; Andy Narayanan; Aonan Zhang; Bowen Zhang 002; Chen Chen 005; Chung-Cheng Chiu; David Qiu; Deepak Gopinath; Dian Ang Yap; et al. (CoRR, 2024)

AXLearn: Modular Large Model Training on Heterogeneous Infrastructure. - Mark Lee; Tom Gunter; Chang Lan; John Peebles; Hanzhi Zhou; Kelvin Zou; Sneha Bangalore; Chung-Cheng Chiu; Nan Du; Xianzhi Du; Philipp Dufter; Ruixuan Hou; et al. (CoRR, 2025)