Sam Wiseman

Orcid: 0000-0003-0923-1086

According to our database1, Sam Wiseman authored at least 42 papers between 2014 and 2024.

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Bibliography

2024
Apple Intelligence Foundation Language Models.
CoRR, 2024

ChatShop: Interactive Information Seeking with Language Agents.
CoRR, 2024

MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training.
CoRR, 2024


Sequence Reducible Holdout Loss for Language Model Pretraining.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models.
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Trans. Mach. Learn. Res., 2023

BM25 Query Augmentation Learned End-to-End.
CoRR, 2023

Exploring the Effect of Frequency Resolution in FNet.
Proceedings of The Fourth Workshop on Simple and Efficient Natural Language Processing, 2023

Seq2seq is All You Need for Coreference Resolution.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Approximating CKY with Transformers.
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.
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.
CoRR, 2022

Baked-in State Probing.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

SummScreen: A Dataset for Abstractive Screenplay Summarization.
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.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
On Generalization in Coreference Resolution.
CoRR, 2021

Learning Chess Blindfolded: Evaluating Language Models on State Tracking.
CoRR, 2021

Generating (Formulaic) Text by Splicing Together Nearest Neighbors.
CoRR, 2021

Data-to-text Generation by Splicing Together Nearest Neighbors.
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.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020
Generating Wikipedia Article Sections from Diverse Data Sources.
CoRR, 2020

Controllable Paraphrasing and Translation with a Syntactic Exemplar.
CoRR, 2020

Learning Discrete Structured Representations by Adversarially Maximizing Mutual Information.
Proceedings of the 37th International Conference on Machine Learning, 2020

Learning to Ignore: Long Document Coreference with Bounded Memory Neural Networks.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

ENGINE: Energy-Based Inference Networks for Non-Autoregressive Machine Translation.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Discrete Latent Variable Representations for Low-Resource Text Classification.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Amortized Bethe Free Energy Minimization for Learning MRFs.
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.
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.
Proceedings of the Deep Generative Models for Highly Structured Data, 2019

Label-Agnostic Sequence Labeling by Copying Nearest Neighbors.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Controllable Paraphrase Generation with a Syntactic Exemplar.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
A Tutorial on Deep Latent Variable Models of Natural Language.
CoRR, 2018

Semi-Amortized Variational Autoencoders.
Proceedings of the 35th International Conference on Machine Learning, 2018

Learning Neural Templates for Text Generation.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Entity Tracking Improves Cloze-style Reading Comprehension.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2017
Training Language Models Using Target-Propagation.
CoRR, 2017

Challenges in Data-to-Document Generation.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

2016
Antecedent Prediction Without a Pipeline.
Proceedings of the Workshop on Coreference Resolution Beyond OntoNotes, 2016

Learning Global Features for Coreference Resolution.
Proceedings of the NAACL HLT 2016, 2016

Sequence-to-Sequence Learning as Beam-Search Optimization.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

2015
Learning Anaphoricity and Antecedent Ranking Features for Coreference Resolution.
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.
Proceedings of the Twenty-Fourth International Conference on Automated Planning and Scheduling, 2014


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