Nicholas Lourie

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 20

Top Topics

Commonsense Reasoning

Top Venues

Publications

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 (2024)
Nicholas Lourie, Kyunghyun Cho, He He
Show Your Work with Confidence: Confidence Bands for Tuning Curves. NAACL-HLT (2024)
Nicholas Lourie, Kyunghyun Cho, He He
Show Your Work with Confidence: Confidence Bands for Tuning Curves. CoRR (2023)
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)
Nicholas Lourie, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi
UNICORN on RAINBOW: A Universal Commonsense Reasoning Model on a New Multitask Benchmark. CoRR (2021)
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 (2021)
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)
Nicholas Lourie, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi
UNICORN on RAINBOW: A Universal Commonsense Reasoning Model on a New Multitask Benchmark. AAAI (2021)
Nicholas Lourie, Ronan Le Bras, Yejin Choi
SCRUPLES: A Corpus of Community Ethical Judgments on 32, 000 Real-Life Anecdotes. AAAI (2021)
Orion Weller, Nicholas Lourie, Matt Gardner, Matthew E. Peters
Learning from Task Descriptions. EMNLP (1) (2020)
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 (2020)
Nicholas Lourie, Ronan Le Bras, Yejin Choi
Scruples: A Corpus of Community Ethical Judgments on 32, 000 Real-Life Anecdotes. CoRR (2020)
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)
Orion Weller, Nicholas Lourie, Matt Gardner, Matthew E. Peters
Learning from Task Descriptions. CoRR (2020)
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)
Alon Talmor, Jonathan Herzig, Nicholas Lourie, Jonathan Berant
CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge. NAACL-HLT (1) (2019)
Maarten Sap, Ronan LeBras, 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 (2018)
Noah Siegel, Nicholas Lourie, Russell Power, Waleed Ammar
Extracting Scientific Figures with Distantly Supervised Neural Networks. CoRR (2018)
Alon Talmor, Jonathan Herzig, Nicholas Lourie, Jonathan Berant
CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge. CoRR (2018)
Noah Siegel, Nicholas Lourie, Russell Power, Waleed Ammar
Extracting Scientific Figures with Distantly Supervised Neural Networks. JCDL (2018)