Peter West

According to our database, Peter West authored at least 40 papers between 2016 and 2024.

Collaborative distances:

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

2024

Information-Theoretic Distillation for Reference-less Summarization.

Jaehun Jung, Ximing Lu, Liwei Jiang, Faeze Brahman, Peter West, Pang Wei Koh, Yejin Choi

CoRR, 2024

Value Kaleidoscope: Engaging AI with Pluralistic Human Values, Rights, and Duties.

Taylor Sorensen, Liwei Jiang, Jena D. Hwang, Sydney Levine, Valentina Pyatkin, Peter West, Nouha Dziri, Ximing Lu, Kavel Rao, Chandra Bhagavatula, Maarten Sap, John Tasioulas, Yejin Choi

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Localized Symbolic Knowledge Distillation for Visual Commonsense Models.

Jae Sung Park, Jack Hessel, Khyathi Raghavi Chandu, Paul Pu Liang, Ximing Lu, Peter West, Youngjae Yu, Qiuyuan Huang, Jianfeng Gao, Ali Farhadi, Yejin Choi

CoRR, 2023

The Generative AI Paradox: "What It Can Create, It May Not Understand".

Peter West, Ximing Lu, Nouha Dziri, Faeze Brahman, Linjie Li, Jena D. Hwang, Liwei Jiang, Jillian Fisher, Abhilasha Ravichander, Khyathi Chandu, Benjamin Newman, Pang Wei Koh, Allyson Ettinger, Yejin Choi

CoRR, 2023

Generative Models as a Complex Systems Science: How can we make sense of large language model behavior?

Ari Holtzman, Peter West, Luke Zettlemoyer

CoRR, 2023

Faith and Fate: Limits of Transformers on Compositionality.

Nouha Dziri, Ximing Lu, Melanie Sclar, Xiang Lorraine Li, Liwei Jiang, Bill Yuchen Lin, Peter West, Chandra Bhagavatula, Ronan Le Bras, Jena D. Hwang, Soumya Sanyal, Sean Welleck, Xiang Ren, Allyson Ettinger, Zaïd Harchaoui, Yejin Choi

CoRR, 2023

Impossible Distillation: from Low-Quality Model to High-Quality Dataset & Model for Summarization and Paraphrasing.

Jaehun Jung, Peter West, Liwei Jiang, Faeze Brahman, Ximing Lu, Jillian Fisher, Taylor Sorensen, Yejin Choi

CoRR, 2023

Localized Symbolic Knowledge Distillation for Visual Commonsense Models.

Jae Sung Park, Jack Hessel, Khyathi Chandu, Paul Pu Liang, Ximing Lu, Peter West, Youngjae Yu, Qiuyuan Huang, Jianfeng Gao, Ali Farhadi, Yejin Choi

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Faith and Fate: Limits of Transformers on Compositionality.

Nouha Dziri, Ximing Lu, Melanie Sclar, Xiang Lorraine Li, Liwei Jiang, Bill Yuchen Lin, Sean Welleck, Peter West, Chandra Bhagavatula, Ronan Le Bras, Jena D. Hwang, Soumya Sanyal, Xiang Ren, Allyson Ettinger, Zaïd Harchaoui, Yejin Choi

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Generating Sequences by Learning to Self-Correct.

Sean Welleck, Ximing Lu, Peter West, Faeze Brahman, Tianxiao Shen, Daniel Khashabi, Yejin Choi

Proceedings of the Eleventh International Conference on Learning Representations, 2023

NovaCOMET: Open Commonsense Foundation Models with Symbolic Knowledge Distillation.

Peter West, Ronan Le Bras, Taylor Sorensen, Bill Yuchen Lin, Liwei Jiang, Ximing Lu, Khyathi Chandu, Jack Hessel, Ashutosh Baheti, Chandra Bhagavatula, Yejin Choi

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

Inference-Time Policy Adapters (IPA): Tailoring Extreme-Scale LMs without Fine-tuning.

Ximing Lu, Faeze Brahman, Peter West, Jaehun Jung, Khyathi Chandu, Abhilasha Ravichander, Prithviraj Ammanabrolu, Liwei Jiang, Sahana Ramnath, Nouha Dziri, Jillian Fisher, Bill Y. Lin, Skyler Hallinan, Lianhui Qin, Xiang Ren, Sean Welleck, Yejin Choi

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

We're Afraid Language Models Aren't Modeling Ambiguity.

Alisa Liu, Zhaofeng Wu, Julian Michael, Alane Suhr, Peter West, Alexander Koller, Swabha Swayamdipta, Noah A. Smith, Yejin Choi

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

SODA: Million-scale Dialogue Distillation with Social Commonsense Contextualization.

Hyunwoo Kim, Jack Hessel, Liwei Jiang, Peter West, Ximing Lu, Youngjae Yu, Pei Zhou, Ronan Le Bras, Malihe Alikhani, Gunhee Kim, Maarten Sap, Yejin Choi

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

Minding Language Models' (Lack of) Theory of Mind: A Plug-and-Play Multi-Character Belief Tracker.

Melanie Sclar, Sachin Kumar, Peter West, Alane Suhr, Yejin Choi, Yulia Tsvetkov

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

I2D2: Inductive Knowledge Distillation with NeuroLogic and Self-Imitation.

Chandra Bhagavatula, Jena D. Hwang, Doug Downey, Ronan Le Bras, Ximing Lu, Lianhui Qin, Keisuke Sakaguchi, Swabha Swayamdipta, Peter West, Yejin Choi

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

I2D2: Inductive Knowledge Distillation with NeuroLogic and Self-Imitation.

Chandra Bhagavatula, Jena D. Hwang, Doug Downey, Ronan Le Bras, Ximing Lu, Keisuke Sakaguchi, Swabha Swayamdipta, Peter West, Yejin Choi

CoRR, 2022

QUARK: Controllable Text Generation with Reinforced Unlearning.

Ximing Lu, Sean Welleck, Jack Hessel, Liwei Jiang, Lianhui Qin, Peter West, Prithviraj Ammanabrolu, Yejin Choi

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Symbolic Knowledge Distillation: from General Language Models to Commonsense Models.

Peter West, Chandra Bhagavatula, Jack Hessel, Jena D. Hwang, Liwei Jiang, Ronan Le Bras, Ximing Lu, Sean Welleck, Yejin Choi

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

NeuroLogic A*esque Decoding: Constrained Text Generation with Lookahead Heuristics.

Ximing Lu, Sean Welleck, Peter West, Liwei Jiang, Jungo Kasai, Daniel Khashabi, Ronan Le Bras, Lianhui Qin, Youngjae Yu, Rowan Zellers, Noah A. Smith, Yejin Choi

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

SRIFTY: Swift and Thrifty Distributed Neural Network Training on the Cloud.

Liang Luo, Peter West, Pratyush Patel, Arvind Krishnamurthy, Luis Ceze

Proceedings of Machine Learning and Systems 2022, 2022

Adjusting for Confounders with Text: Challenges and an Empirical Evaluation Framework for Causal Inference.

Galen Weld, Peter West, Maria Glenski, David Arbour, Ryan A. Rossi, Tim Althoff

Proceedings of the Sixteenth International AAAI Conference on Web and Social Media, 2022

Referee: Reference-Free Sentence Summarization with Sharper Controllability through Symbolic Knowledge Distillation.

Melanie Sclar, Peter West, Sachin Kumar, Yulia Tsvetkov, Yejin Choi

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Probing Factually Grounded Content Transfer with Factual Ablation.

Peter West, Chris Quirk, Michel Galley, Yejin Choi

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

Generated Knowledge Prompting for Commonsense Reasoning.

Jiacheng Liu, Alisa Liu, Ximing Lu, Sean Welleck, Peter West, Ronan Le Bras, Yejin Choi, Hannaneh Hajishirzi

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

Symbolic Brittleness in Sequence Models: On Systematic Generalization in Symbolic Mathematics.

Sean Welleck, Peter West, Jize Cao, Yejin Choi

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

2021

NeuroLogic Decoding: (Un)supervised Neural Text Generation with Predicate Logic Constraints.

Ximing Lu, Peter West, Rowan Zellers, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Surface Form Competition: Why the Highest Probability Answer Isn't Always Right.

Ari Holtzman, Peter West, Vered Shwartz, Yejin Choi, Luke Zettlemoyer

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

Reflective Decoding: Beyond Unidirectional Generation with Off-the-Shelf Language Models.

Peter West, Ximing Lu, Ari Holtzman, Chandra Bhagavatula, Jena D. Hwang, Yejin Choi

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Srift: Swift and Thrift Cloud-Based Distributed Training.

Liang Luo, Peter West, Arvind Krishnamurthy, Luis Ceze

CoRR, 2020

Reflective Decoding: Unsupervised Paraphrasing and Abductive Reasoning.

Peter West, Ximing Lu, Ari Holtzman, Chandra Bhagavatula, Jena D. Hwang, Yejin Choi

CoRR, 2020

PLink: Discovering and Exploiting Locality for Accelerated Distributed Training on the public Cloud.

Liang Luo, Peter West, Arvind Krishnamurthy, Luis Ceze, Jacob Nelson

Proceedings of Machine Learning and Systems 2020, 2020

Unsupervised Commonsense Question Answering with Self-Talk.

Vered Shwartz, Peter West, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi

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

Back to the Future: Unsupervised Backprop-based Decoding for Counterfactual and Abductive Commonsense Reasoning.

Lianhui Qin, Vered Shwartz, Peter West, Chandra Bhagavatula, Jena D. Hwang, Ronan Le Bras, Antoine Bosselut, Yejin Choi

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

2019

BottleSum: Unsupervised and Self-supervised Sentence Summarization using the Information Bottleneck Principle.

Peter West, Ari Holtzman, Jan Buys, Yejin Choi

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018

"A Game Without Competition Is Hardly a Game": The Impact of Competitions on Player Activity in a Human Computation Game".

Neal Reeves, Peter West, Elena Simperl

Proceedings of the Sixth AAAI Conference on Human Computation and Crowdsourcing, 2018

Common Barriers to the Use of Patient-Generated Data Across Clinical Settings.

Peter West, Max Van Kleek, Richard Giordano, Mark J. Weal, Nigel Shadbolt

Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, 2018

2017

Designing digital and creative scaffolds to strengthen Indigenous nations: being Wiradjuri by practising sovereignty.

Yoko Akama, Debra Evans, Seth Keen, Faye McMillan, Mark McMillan, Peter West

Digit. Creativity, 2017

2016

The Quantified Patient in the Doctor's Office: Challenges & Opportunities.

Peter West, Richard Giordano, Max Van Kleek, Nigel Shadbolt

Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, 2016

Speculative Design and Heterogeneity in Indigenous Nation Building.

Yoko Akama, Seth Keen, Peter West

Proceedings of the 2016 ACM Conference on Designing Interactive Systems, DIS '16, Brisbane, QLD, Australia, June 04, 2016