Peter West

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 63

Top Topics

Symbolic Knowledge

Multidocument Summarization

Commonsense Reasoning

Top Venues

Publications

Margaret Li, Weijia Shi, Artidoro Pagnoni, Peter West, Ari Holtzman
Predicting vs. Acting: A Trade-off Between World Modeling & Agent Modeling. CoRR (2024)
Peter West, Ximing Lu, Nouha Dziri, Faeze Brahman, Linjie Li, Jena D. Hwang, Liwei Jiang, Jillian Fisher, Abhilasha Ravichander, Khyathi Raghavi Chandu, Benjamin Newman, Pang Wei Koh, Allyson Ettinger, Yejin Choi
The Generative AI Paradox: "What It Can Create, It May Not Understand". ICLR (2024)
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
Value Kaleidoscope: Engaging AI with Pluralistic Human Values, Rights, and Duties. AAAI (2024)
Michael Saxon, Ari Holtzman, Peter West, William Yang Wang, Naomi Saphra
Benchmarks as Microscopes: A Call for Model Metrology. CoRR (2024)
Jaehun Jung, Peter West, Liwei Jiang, Faeze Brahman, Ximing Lu, Jillian Fisher, Taylor Sorensen, Yejin Choi
Impossible Distillation for Paraphrasing and Summarization: How to Make High-quality Lemonade out of Small, Low-quality Model. NAACL-HLT (2024)
Jaehun Jung, Ximing Lu, Liwei Jiang, Faeze Brahman, Peter West, Pang Wei Koh, Yejin Choi
Information-Theoretic Distillation for Reference-less Summarization. CoRR (2024)
Alisa Liu, Zhaofeng Wu, Julian Michael, Alane Suhr, Peter West, Alexander Koller, Swabha Swayamdipta, Noah A. Smith, Yejin Choi
We're Afraid Language Models Aren't Modeling Ambiguity. EMNLP (2023)
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
Localized Symbolic Knowledge Distillation for Visual Commonsense Models. CoRR (2023)
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
Value Kaleidoscope: Engaging AI with Pluralistic Human Values, Rights, and Duties. CoRR (2023)
Ari Holtzman, Peter West, Luke Zettlemoyer
Generative Models as a Complex Systems Science: How can we make sense of large language model behavior? CoRR (2023)
Ximing Lu, Faeze Brahman, Peter West, Jaehun Jung, Khyathi Chandu, Abhilasha Ravichander, Lianhui Qin, Prithviraj Ammanabrolu, Liwei Jiang, Sahana Ramnath, Nouha Dziri, Jillian Fisher, Bill Yuchen Lin, Skyler Hallinan, Xiang Ren, Sean Welleck, Yejin Choi
Inference-Time Policy Adapters (IPA): Tailoring Extreme-Scale LMs without Fine-tuning. CoRR (2023)
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
SODA: Million-scale Dialogue Distillation with Social Commonsense Contextualization. EMNLP (2023)
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
Faith and Fate: Limits of Transformers on Compositionality. NeurIPS (2023)
Sean Welleck, Ximing Lu, Peter West, Faeze Brahman, Tianxiao Shen, Daniel Khashabi, Yejin Choi
Generating Sequences by Learning to Self-Correct. ICLR (2023)
Ximing Lu, Faeze Brahman, Peter West, Jaehun Jung, Khyathi Chandu, Abhilasha Ravichander, Prithviraj Ammanabrolu, Liwei Jiang, Sahana Ramnath, Nouha Dziri, Jillian Fisher, Bill Lin, Skyler Hallinan, Lianhui Qin, Xiang Ren, Sean Welleck, Yejin Choi
Inference-Time Policy Adapters (IPA): Tailoring Extreme-Scale LMs without Fine-tuning. EMNLP (2023)
Melanie Sclar, Sachin Kumar, Peter West, Alane Suhr, Yejin Choi, Yulia Tsvetkov
Minding Language Models' (Lack of) Theory of Mind: A Plug-and-Play Multi-Character Belief Tracker. CoRR (2023)
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
Faith and Fate: Limits of Transformers on Compositionality. CoRR (2023)
Alisa Liu, Zhaofeng Wu, Julian Michael, Alane Suhr, Peter West, Alexander Koller, Swabha Swayamdipta, Noah A. Smith, Yejin Choi
We're Afraid Language Models Aren't Modeling Ambiguity. CoRR (2023)
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
The Generative AI Paradox: "What It Can Create, It May Not Understand". CoRR (2023)
Peter West, Ronan Le Bras, Taylor Sorensen, Bill Yuchen Lin, Liwei Jiang, Ximing Lu, Khyathi Chandu, Jack Hessel, Ashutosh Baheti, Chandra Bhagavatula, Yejin Choi
NovaCOMET: Open Commonsense Foundation Models with Symbolic Knowledge Distillation. CoRR (2023)
Jae Sung Park, Jack Hessel, Khyathi Chandu, Paul Pu Liang, Ximing Lu, Peter West, Youngjae Yu, Qiuyuan Huang, Jianfeng Gao, Ali Farhadi, Yejin Choi
Localized Symbolic Knowledge Distillation for Visual Commonsense Models. NeurIPS (2023)
Chandra Bhagavatula, Jena D. Hwang, Doug Downey, Ronan Le Bras, Ximing Lu, Lianhui Qin, Keisuke Sakaguchi, Swabha Swayamdipta, Peter West, Yejin Choi
I2D2: Inductive Knowledge Distillation with NeuroLogic and Self-Imitation. ACL (1) (2023)
Jaehun Jung, Peter West, Liwei Jiang, Faeze Brahman, Ximing Lu, Jillian Fisher, Taylor Sorensen, Yejin Choi
Impossible Distillation: from Low-Quality Model to High-Quality Dataset & Model for Summarization and Paraphrasing. CoRR (2023)
Melanie Sclar, Sachin Kumar, Peter West, Alane Suhr, Yejin Choi, Yulia Tsvetkov
Minding Language Models' (Lack of) Theory of Mind: A Plug-and-Play Multi-Character Belief Tracker. ACL (1) (2023)
Peter West, Ronan Le Bras, Taylor Sorensen, Bill Lin, Liwei Jiang, Ximing Lu, Khyathi Chandu, Jack Hessel, Ashutosh Baheti, Chandra Bhagavatula, Yejin Choi
NovaCOMET: Open Commonsense Foundation Models with Symbolic Knowledge Distillation. EMNLP (Findings) (2023)
Ximing Lu, Sean Welleck, Jack Hessel, Liwei Jiang, Lianhui Qin, Peter West, Prithviraj Ammanabrolu, Yejin Choi
QUARK: Controllable Text Generation with Reinforced Unlearning. NeurIPS (2022)
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
NeuroLogic A*esque Decoding: Constrained Text Generation with Lookahead Heuristics. NAACL-HLT (2022)
Peter West, Chris Quirk, Michel Galley, Yejin Choi
Probing Factually Grounded Content Transfer with Factual Ablation. ACL (Findings) (2022)
Melanie Sclar, Peter West, Sachin Kumar, Yulia Tsvetkov, Yejin Choi
Referee: Reference-Free Sentence Summarization with Sharper Controllability through Symbolic Knowledge Distillation. CoRR (2022)
Galen Weld, Peter West, Maria Glenski, David Arbour, Ryan A. Rossi, Tim Althoff
Adjusting for Confounders with Text: Challenges and an Empirical Evaluation Framework for Causal Inference. ICWSM (2022)
Chandra Bhagavatula, Jena D. Hwang, Doug Downey, Ronan Le Bras, Ximing Lu, Keisuke Sakaguchi, Swabha Swayamdipta, Peter West, Yejin Choi
I2D2: Inductive Knowledge Distillation with NeuroLogic and Self-Imitation. CoRR (2022)
Sean Welleck, Peter West, Jize Cao, Yejin Choi
Symbolic Brittleness in Sequence Models: On Systematic Generalization in Symbolic Mathematics. AAAI (2022)
Sean Welleck, Ximing Lu, Peter West, Faeze Brahman, Tianxiao Shen, Daniel Khashabi, Yejin Choi
Generating Sequences by Learning to Self-Correct. CoRR (2022)
Liang Luo, Peter West, Pratyush Patel, Arvind Krishnamurthy, Luis Ceze
SRIFTY: Swift and Thrifty Distributed Neural Network Training on the Cloud. MLSys (2022)
Ximing Lu, Sean Welleck, Liwei Jiang, Jack Hessel, Lianhui Qin, Peter West, Prithviraj Ammanabrolu, Yejin Choi
Quark: Controllable Text Generation with Reinforced Unlearning. CoRR (2022)
Jiacheng Liu, Alisa Liu, Ximing Lu, Sean Welleck, Peter West, Ronan Le Bras, Yejin Choi, Hannaneh Hajishirzi
Generated Knowledge Prompting for Commonsense Reasoning. ACL (1) (2022)
Melanie Sclar, Peter West, Sachin Kumar, Yulia Tsvetkov, Yejin Choi
Referee: Reference-Free Sentence Summarization with Sharper Controllability through Symbolic Knowledge Distillation. EMNLP (2022)
Peter West, Chandra Bhagavatula, Jack Hessel, Jena D. Hwang, Liwei Jiang, Ronan Le Bras, Ximing Lu, Sean Welleck, Yejin Choi
Symbolic Knowledge Distillation: from General Language Models to Commonsense Models. NAACL-HLT (2022)
Peter West, Chris Quirk, Michel Galley, Yejin Choi
Probing Factually Grounded Content Transfer with Factual Ablation. CoRR (2022)
Jiacheng Liu, Alisa Liu, Ximing Lu, Sean Welleck, Peter West, Ronan Le Bras, Yejin Choi, Hannaneh Hajishirzi
Generated Knowledge Prompting for Commonsense Reasoning. CoRR (2021)
Peter West, Ximing Lu, Ari Holtzman, Chandra Bhagavatula, Jena D. Hwang, Yejin Choi
Reflective Decoding: Beyond Unidirectional Generation with Off-the-Shelf Language Models. ACL/IJCNLP (1) (2021)
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
NeuroLogic A*esque Decoding: Constrained Text Generation with Lookahead Heuristics. CoRR (2021)
Ari Holtzman, Peter West, Vered Shwartz, Yejin Choi, Luke Zettlemoyer
Surface Form Competition: Why the Highest Probability Answer Isn't Always Right. EMNLP (1) (2021)
Ximing Lu, Peter West, Rowan Zellers, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi
NeuroLogic Decoding: (Un)supervised Neural Text Generation with Predicate Logic Constraints. NAACL-HLT (2021)
Sean Welleck, Peter West, Jize Cao, Yejin Choi
Symbolic Brittleness in Sequence Models: on Systematic Generalization in Symbolic Mathematics. CoRR (2021)
Ari Holtzman, Peter West, Vered Shwartz, Yejin Choi, Luke Zettlemoyer
Surface Form Competition: Why the Highest Probability Answer Isn't Always Right. CoRR (2021)
Peter West, Chandra Bhagavatula, Jack Hessel, Jena D. Hwang, Liwei Jiang, Ronan Le Bras, Ximing Lu, Sean Welleck, Yejin Choi
Symbolic Knowledge Distillation: from General Language Models to Commonsense Models. CoRR (2021)
Ximing Lu, Peter West, Rowan Zellers, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi
NeuroLogic Decoding: (Un)supervised Neural Text Generation with Predicate Logic Constraints. CoRR (2020)
Vered Shwartz, Peter West, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi
Unsupervised Commonsense Question Answering with Self-Talk. EMNLP (1) (2020)
Lianhui Qin, Vered Shwartz, Peter West, Chandra Bhagavatula, Jena D. Hwang, Ronan Le Bras, Antoine Bosselut, Yejin Choi
Back to the Future: Unsupervised Backprop-based Decoding for Counterfactual and Abductive Commonsense Reasoning. CoRR (2020)
Vered Shwartz, Peter West, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi
Unsupervised Commonsense Question Answering with Self-Talk. CoRR (2020)
Galen Weld, Peter West, Maria Glenski, David Arbour, Ryan A. Rossi, Tim Althoff
Adjusting for Confounders with Text: Challenges and an Empirical Evaluation Framework for Causal Inference. CoRR (2020)
Liang Luo, Peter West, Arvind Krishnamurthy, Luis Ceze
Srift: Swift and Thrift Cloud-Based Distributed Training. CoRR (2020)
Lianhui Qin, Vered Shwartz, Peter West, Chandra Bhagavatula, Jena D. Hwang, Ronan Le Bras, Antoine Bosselut, Yejin Choi
Back to the Future: Unsupervised Backprop-based Decoding for Counterfactual and Abductive Commonsense Reasoning. EMNLP (1) (2020)
Liang Luo, Peter West, Arvind Krishnamurthy, Luis Ceze, Jacob Nelson
PLink: Discovering and Exploiting Locality for Accelerated Distributed Training on the public Cloud. MLSys (2020)
Peter West, Ximing Lu, Ari Holtzman, Chandra Bhagavatula, Jena D. Hwang, Yejin Choi
Reflective Decoding: Unsupervised Paraphrasing and Abductive Reasoning. CoRR (2020)
Peter West, Ari Holtzman, Jan Buys, Yejin Choi
BottleSum: Unsupervised and Self-supervised Sentence Summarization using the Information Bottleneck Principle. CoRR (2019)
Peter West, Ari Holtzman, Jan Buys, Yejin Choi
BottleSum: Unsupervised and Self-supervised Sentence Summarization using the Information Bottleneck Principle. EMNLP/IJCNLP (1) (2019)
Neal Reeves, Peter West, Elena Simperl
"A Game Without Competition Is Hardly a Game": The Impact of Competitions on Player Activity in a Human Computation Game". HCOMP (2018)
Peter West, Max Van Kleek, Richard Giordano, Mark J. Weal, Nigel Shadbolt
Common Barriers to the Use of Patient-Generated Data Across Clinical Settings. CHI (2018)
Yoko Akama, Debra Evans, Seth Keen, Faye McMillan, Mark McMillan, Peter West
Designing digital and creative scaffolds to strengthen Indigenous nations: being Wiradjuri by practising sovereignty. Digit. Creativity 28 (1) (2017)
Peter West, Richard Giordano, Max Van Kleek, Nigel Shadbolt
The Quantified Patient in the Doctor's Office: Challenges & Opportunities. CHI (2016)
Yoko Akama, Seth Keen, Peter West
Speculative Design and Heterogeneity in Indigenous Nation Building. Conference on Designing Interactive Systems (2016)