Nicholas Lourie

According to our database, Nicholas Lourie authored at least 19 papers between 2018 and 2026.

Collaborative distances:

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

2026

Neural Neural Scaling Laws.

Michael Y. Hu, Jane Pan, Ayush Rajesh Jhaveri, Nicholas Lourie, Kyunghyun Cho

CoRR, January, 2026

2025

Universal Spectral Tokenization via Self-Supervised Panchromatic Representation Learning.

Jeff Shen, François Lanusse, Liam Holden Parker, Ollie Liu, Tom Hehir, Leopoldo Sarra, Lucas Meyer, Micah Bowles, Sebastian Wagner-Carena, Helen Qu, Siavash Golkar, Alberto Bietti, Hatim Bourfoune, Nathan Cassereau, Pierre Cornette, Keiya Hirashima, Géraud Krawezik, Ruben Ohana, Nicholas Lourie, Michael McCabe, Rudy Morel, Payel Mukhopadhyay, Mariel Pettee, Bruno Régaldo-Saint Blancard, Kyunghyun Cho, Miles D. Cranmer, Shirley Ho

CoRR, October, 2025

Hyperparameter Loss Surfaces Are Simple Near their Optima.

Nicholas Lourie, He He, Kyunghyun Cho

CoRR, October, 2025

What's In Your Field? Mapping Scientific Research with Knowledge Graphs and Large Language Models.

Abhipsha Das, Nicholas Lourie, Siavash Golkar, Mariel Pettee

CoRR, March, 2025

AION-1: Omnimodal Foundation Model for Astronomical Sciences.

Liam Holden Parker, François Lanusse, Jeff Shen, Ollie Liu, Tom Hehir, Leopoldo Sarra, Lucas Meyer, Micah Bowles, Sebastian Wagner-Carena, Helen Qu, Siavash Golkar, Alberto Bietti, Hatim Bourfoune, Pierre Cornette, Keiya Hirashima, Géraud Krawezik, Ruben Ohana, Nicholas Lourie, Michael McCabe, Rudy Morel, Payel Mukhopadhyay, Mariel Pettee, Kyunghyun Cho, Miles D. Cranmer, Shirley Ho

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Aioli: A Unified Optimization Framework for Language Model Data Mixing.

Mayee F. Chen, Michael Y. Hu, Nicholas Lourie, Kyunghyun Cho, Christopher Ré

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Scaling Laws Are Unreliable for Downstream Tasks: A Reality Check.

Nicholas Lourie, Michael Y. Hu, Kyunghyun Cho

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

2024

Contextual Counting: A Mechanistic Study of Transformers on a Quantitative Task.

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

CoRR, 2024

Show Your Work with Confidence: Confidence Bands for Tuning Curves.

Nicholas Lourie, Kyunghyun Cho, He He

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

2022

GENIE: Toward Reproducible and Standardized Human Evaluation for Text Generation.

Daniel Khashabi, Gabriel Stanovsky, Jonathan Bragg, Nicholas Lourie, Jungo Kasai, Yejin Choi, Noah A. Smith, Daniel S. Weld

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

2021

GENIE: A Leaderboard for Human-in-the-Loop Evaluation of Text Generation.

Daniel Khashabi, Gabriel Stanovsky, Jonathan Bragg, Nicholas Lourie, Jungo Kasai, Yejin Choi, Noah A. Smith, Daniel S. Weld

CoRR, 2021

Findings of the 2021 Conference on Machine Translation (WMT21).

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

Proceedings of the Sixth Conference on Machine Translation, 2021

SCRUPLES: A Corpus of Community Ethical Judgments on 32, 000 Real-Life Anecdotes.

Nicholas Lourie, Ronan Le Bras, Yejin Choi

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

UNICORN on RAINBOW: A Universal Commonsense Reasoning Model on a New Multitask Benchmark.

Nicholas Lourie, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Learning from Task Descriptions.

Orion Weller, Nicholas Lourie, Matt Gardner, Matthew E. Peters

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

Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics.

Swabha Swayamdipta, Roy Schwartz, Nicholas Lourie, Yizhong Wang, Hannaneh Hajishirzi, Noah A. Smith, Yejin Choi

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

2019

CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge.

Alon Talmor, Jonathan Herzig, Nicholas Lourie, Jonathan Berant

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

ATOMIC: An Atlas of Machine Commonsense for If-Then Reasoning.

Maarten Sap, Ronan Le Bras, Emily Allaway, Chandra Bhagavatula, Nicholas Lourie, Hannah Rashkin, Brendan Roof, Noah A. Smith, Yejin Choi

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Extracting Scientific Figures with Distantly Supervised Neural Networks.

Noah Siegel, Nicholas Lourie, Russell Power, Waleed Ammar

Proceedings of the 18th ACM/IEEE on Joint Conference on Digital Libraries, 2018