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2020 – today
- 2024
[c32]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: 19937-19947- [c31]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 - [c30]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: 4439-4454 - [i30]Jaehun Jung, Ximing Lu, Liwei Jiang, Faeze Brahman, Peter West, Pang Wei Koh, Yejin Choi:
Information-Theoretic Distillation for Reference-less Summarization. CoRR abs/2403.13780 (2024) - [i29]Margaret Li, Weijia Shi, Artidoro Pagnoni, Peter West, Ari Holtzman:
Predicting vs. Acting: A Trade-off Between World Modeling & Agent Modeling. CoRR abs/2407.02446 (2024) - [i28]Michael Saxon, Ari Holtzman, Peter West, William Yang Wang, Naomi Saphra:
Benchmarks as Microscopes: A Call for Model Metrology. CoRR abs/2407.16711 (2024) - 2023
- [c29]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: 9614-9630 - [c28]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: 13960-13980 - [c27]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: 790-807 - [c26]Peter West, Ronan Le Bras, Taylor Sorensen, Bill Yuchen Lin, Liwei Jiang, Ximing Lu, Khyathi Raghavi Chandu, Jack Hessel, Ashutosh Baheti, Chandra Bhagavatula, Yejin Choi:
NovaCOMET: Open Commonsense Foundation Models with Symbolic Knowledge Distillation. EMNLP (Findings) 2023: 1127-1149 - [c25]Ximing Lu, Faeze Brahman, Peter West, Jaehun Jung, Khyathi Raghavi 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:
Inference-Time Policy Adapters (IPA): Tailoring Extreme-Scale LMs without Fine-tuning. EMNLP 2023: 6863-6883 - [c24]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: 12930-12949 - [c23]Sean Welleck, Ximing Lu, Peter West, Faeze Brahman, Tianxiao Shen, Daniel Khashabi, Yejin Choi:
Generating Sequences by Learning to Self-Correct. ICLR 2023 - [c22]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 - [c21]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. NeurIPS 2023 - [i27]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 abs/2304.14399 (2023) - [i26]Ximing Lu, Faeze Brahman, Peter West, Jaehun Jung, Khyathi Raghavi 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 abs/2305.15065 (2023) - [i25]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 abs/2305.16635 (2023) - [i24]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 abs/2305.18654 (2023) - [i23]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 abs/2306.00924 (2023) - [i22]Ari Holtzman, Peter West, Luke Zettlemoyer:
Generative Models as a Complex Systems Science: How can we make sense of large language model behavior? CoRR abs/2308.00189 (2023) - [i21]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 abs/2309.00779 (2023) - [i20]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". CoRR abs/2311.00059 (2023) - [i19]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 abs/2312.04837 (2023) - [i18]Peter West, Ronan Le Bras, Taylor Sorensen, Bill Yuchen Lin, Liwei Jiang, Ximing Lu, Khyathi Raghavi Chandu, Jack Hessel, Ashutosh Baheti, Chandra Bhagavatula, Yejin Choi:
NovaCOMET: Open Commonsense Foundation Models with Symbolic Knowledge Distillation. CoRR abs/2312.05979 (2023) - 2022
- [c20]Sean Welleck, Peter West, Jize Cao, Yejin Choi:
Symbolic Brittleness in Sequence Models: On Systematic Generalization in Symbolic Mathematics. AAAI 2022: 8629-8637 - [c19]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: 3154-3169 - [c18]Peter West, Chris Quirk, Michel Galley, Yejin Choi:
Probing Factually Grounded Content Transfer with Factual Ablation. ACL (Findings) 2022: 3732-3746 - [c17]Melanie Sclar, Peter West, Sachin Kumar, Yulia Tsvetkov, Yejin Choi:
Referee: Reference-Free Sentence Summarization with Sharper Controllability through Symbolic Knowledge Distillation. EMNLP 2022: 9649-9668 - [c16]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: 1109-1120 - [c15]Liang Luo, Peter West, Pratyush Patel, Arvind Krishnamurthy, Luis Ceze:
SRIFTY: Swift and Thrifty Distributed Neural Network Training on the Cloud. MLSys 2022 - [c14]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: 780-799 - [c13]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: 4602-4625 - [c12]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 - [i17]Peter West, Chris Quirk, Michel Galley, Yejin Choi:
Probing Factually Grounded Content Transfer with Factual Ablation. CoRR abs/2203.10133 (2022) - [i16]Ximing Lu, Sean Welleck, Liwei Jiang, Jack Hessel, Lianhui Qin, Peter West, Prithviraj Ammanabrolu, Yejin Choi:
Quark: Controllable Text Generation with Reinforced Unlearning. CoRR abs/2205.13636 (2022) - [i15]Melanie Sclar, Peter West, Sachin Kumar, Yulia Tsvetkov, Yejin Choi:
Referee: Reference-Free Sentence Summarization with Sharper Controllability through Symbolic Knowledge Distillation. CoRR abs/2210.13800 (2022) - [i14]Sean Welleck, Ximing Lu, Peter West, Faeze Brahman, Tianxiao Shen, Daniel Khashabi, Yejin Choi:
Generating Sequences by Learning to Self-Correct. CoRR abs/2211.00053 (2022) - [i13]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 abs/2212.09246 (2022) - 2021
- [c11]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: 1435-1450 - [c10]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: 7038-7051 - [c9]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: 4288-4299 - [i12]Ari Holtzman, Peter West, Vered Shwartz, Yejin Choi, Luke Zettlemoyer:
Surface Form Competition: Why the Highest Probability Answer Isn't Always Right. CoRR abs/2104.08315 (2021) - [i11]Sean Welleck, Peter West, Jize Cao, Yejin Choi:
Symbolic Brittleness in Sequence Models: on Systematic Generalization in Symbolic Mathematics. CoRR abs/2109.13986 (2021) - [i10]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 abs/2110.07178 (2021) - [i9]Jiacheng Liu, Alisa Liu, Ximing Lu, Sean Welleck, Peter West, Ronan Le Bras, Yejin Choi, Hannaneh Hajishirzi:
Generated Knowledge Prompting for Commonsense Reasoning. CoRR abs/2110.08387 (2021) - [i8]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 abs/2112.08726 (2021) - 2020
- [c8]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: 794-805 - [c7]Vered Shwartz, Peter West, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi:
Unsupervised Commonsense Question Answering with Self-Talk. EMNLP (1) 2020: 4615-4629 - [c6]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 - [i7]Vered Shwartz, Peter West, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi:
Unsupervised Commonsense Question Answering with Self-Talk. CoRR abs/2004.05483 (2020) - [i6]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 abs/2009.09961 (2020) - [i5]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 abs/2010.05906 (2020) - [i4]Peter West, Ximing Lu, Ari Holtzman, Chandra Bhagavatula, Jena D. Hwang, Yejin Choi:
Reflective Decoding: Unsupervised Paraphrasing and Abductive Reasoning. CoRR abs/2010.08566 (2020) - [i3]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 abs/2010.12884 (2020) - [i2]Liang Luo, Peter West, Arvind Krishnamurthy, Luis Ceze:
Srift: Swift and Thrift Cloud-Based Distributed Training. CoRR abs/2011.14243 (2020)
2010 – 2019
- 2019
- [c5]Peter West, Ari Holtzman, Jan Buys, Yejin Choi:
BottleSum: Unsupervised and Self-supervised Sentence Summarization using the Information Bottleneck Principle. EMNLP/IJCNLP (1) 2019: 3750-3759 - [i1]Peter West, Ari Holtzman, Jan Buys, Yejin Choi:
BottleSum: Unsupervised and Self-supervised Sentence Summarization using the Information Bottleneck Principle. CoRR abs/1909.07405 (2019) - 2018
- [c4]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: 484 - [c3]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: 154-163 - 2017
- [j1]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): 58-72 (2017) - 2016
- [c2]Yoko Akama, Seth Keen, Peter West:
Speculative Design and Heterogeneity in Indigenous Nation Building. Conference on Designing Interactive Systems 2016: 895-899 - [c1]Peter West, Richard Giordano, Max Van Kleek, Nigel Shadbolt:
The Quantified Patient in the Doctor's Office: Challenges & Opportunities. CHI 2016: 3066-3078
Coauthor Index
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last updated on 2024-10-07 21:21 CEST by the dblp team
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