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Nicholas Lourie
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Conference and Workshop Papers
- 2022
- [c9]Daniel Khashabi, Gabriel Stanovsky, Jonathan Bragg, Nicholas Lourie, Jungo Kasai, Yejin Choi, Noah A. Smith, Daniel S. Weld:
GENIE: Toward Reproducible and Standardized Human Evaluation for Text Generation. EMNLP 2022: 11444-11458 - 2021
- [c8]Nicholas Lourie, Ronan Le Bras, Yejin Choi:
SCRUPLES: A Corpus of Community Ethical Judgments on 32, 000 Real-Life Anecdotes. AAAI 2021: 13470-13479 - [c7]Nicholas Lourie, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi:
UNICORN on RAINBOW: A Universal Commonsense Reasoning Model on a New Multitask Benchmark. AAAI 2021: 13480-13488 - [c6]Farhad Akhbardeh, Arkady Arkhangorodsky, Magdalena Biesialska
, Ondrej Bojar, Rajen Chatterjee, Vishrav Chaudhary, Marta R. Costa-jussà, Cristina España-Bonet, Angela Fan, Christian Federmann, Markus Freitag, Yvette Graham, Roman Grundkiewicz, Barry Haddow, Leonie Harter, Kenneth Heafield, Christopher Homan, Matthias Huck, Kwabena Amponsah-Kaakyire, Jungo Kasai, Daniel Khashabi, Kevin Knight, Tom Kocmi, Philipp Koehn, Nicholas Lourie, Christof Monz, Makoto Morishita, Masaaki Nagata, Ajay Nagesh, Toshiaki Nakazawa, Matteo Negri, Santanu Pal, Allahsera Auguste Tapo, Marco Turchi, Valentin Vydrin, Marcos Zampieri:
Findings of the 2021 Conference on Machine Translation (WMT21). WMT@EMNLP 2021: 1-88 - 2020
- [c5]Orion Weller, Nicholas Lourie, Matt Gardner, Matthew E. Peters:
Learning from Task Descriptions. EMNLP (1) 2020: 1361-1375 - [c4]Swabha Swayamdipta, Roy Schwartz, Nicholas Lourie, Yizhong Wang, Hannaneh Hajishirzi, Noah A. Smith, Yejin Choi:
Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics. EMNLP (1) 2020: 9275-9293 - 2019
- [c3]Maarten Sap, Ronan Le Bras, Emily Allaway, Chandra Bhagavatula, Nicholas Lourie, Hannah Rashkin, Brendan Roof, Noah A. Smith, Yejin Choi:
ATOMIC: An Atlas of Machine Commonsense for If-Then Reasoning. AAAI 2019: 3027-3035 - [c2]Alon Talmor, Jonathan Herzig, Nicholas Lourie, Jonathan Berant:
CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge. NAACL-HLT (1) 2019: 4149-4158 - 2018
- [c1]Noah Siegel, Nicholas Lourie, Russell Power, Waleed Ammar:
Extracting Scientific Figures with Distantly Supervised Neural Networks. JCDL 2018: 223-232
Informal and Other Publications
- 2024
- [i10]Siavash Golkar, Alberto Bietti, Mariel Pettee, Michael Eickenberg, Miles D. Cranmer, Keiya Hirashima, Géraud Krawezik, Nicholas Lourie, Michael McCabe, Rudy Morel, Ruben Ohana, Liam Holden Parker, Bruno Régaldo-Saint Blancard, Kyunghyun Cho, Shirley Ho:
Contextual Counting: A Mechanistic Study of Transformers on a Quantitative Task. CoRR abs/2406.02585 (2024) - 2023
- [i9]Nicholas Lourie, Kyunghyun Cho, He He:
Show Your Work with Confidence: Confidence Bands for Tuning Curves. CoRR abs/2311.09480 (2023) - 2021
- [i8]Daniel Khashabi, Gabriel Stanovsky, Jonathan Bragg, Nicholas Lourie, Jungo Kasai, Yejin Choi, Noah A. Smith, Daniel S. Weld:
GENIE: A Leaderboard for Human-in-the-Loop Evaluation of Text Generation. CoRR abs/2101.06561 (2021) - [i7]Nicholas Lourie, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi:
UNICORN on RAINBOW: A Universal Commonsense Reasoning Model on a New Multitask Benchmark. CoRR abs/2103.13009 (2021) - 2020
- [i6]Nicholas Lourie, Ronan Le Bras, Yejin Choi:
Scruples: A Corpus of Community Ethical Judgments on 32, 000 Real-Life Anecdotes. CoRR abs/2008.09094 (2020) - [i5]Swabha Swayamdipta, Roy Schwartz, Nicholas Lourie, Yizhong Wang, Hannaneh Hajishirzi, Noah A. Smith, Yejin Choi:
Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics. CoRR abs/2009.10795 (2020) - [i4]Orion Weller, Nicholas Lourie, Matt Gardner, Matthew E. Peters:
Learning from Task Descriptions. CoRR abs/2011.08115 (2020) - 2018
- [i3]Noah Siegel, Nicholas Lourie, Russell Power, Waleed Ammar:
Extracting Scientific Figures with Distantly Supervised Neural Networks. CoRR abs/1804.02445 (2018) - [i2]Maarten Sap, Ronan Le Bras, Emily Allaway, Chandra Bhagavatula, Nicholas Lourie, Hannah Rashkin, Brendan Roof, Noah A. Smith, Yejin Choi:
ATOMIC: An Atlas of Machine Commonsense for If-Then Reasoning. CoRR abs/1811.00146 (2018) - [i1]Alon Talmor, Jonathan Herzig, Nicholas Lourie, Jonathan Berant:
CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge. CoRR abs/1811.00937 (2018)
Coauthor Index
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last updated on 2024-07-07 00:29 CEST by the dblp team
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