Alexis Ross

According to our database, Alexis Ross authored at least 15 papers between 2019 and 2024.

Collaborative distances:

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

2024

Language Modeling with Editable External Knowledge.

Belinda Z. Li, Emmy Liu, Alexis Ross, Abbas Zeitoun, Graham Neubig, Jacob Andreas

CoRR, 2024

Learning Phonotactics from Linguistic Informants.

Canaan Breiss, Alexis Ross, Amani Maina-Kilaas, Roger Levy, Jacob Andreas

CoRR, 2024

Reasoning or Reciting? Exploring the Capabilities and Limitations of Language Models Through Counterfactual Tasks.

Zhaofeng Wu, Linlu Qiu, Alexis Ross, Ekin Akyürek, Boyuan Chen, Bailin Wang, Najoung Kim, Jacob Andreas, Yoon Kim

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

Toward In-Context Teaching: Adapting Examples to Students' Misconceptions.

Alexis Ross, Jacob Andreas

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

ARIES: A Corpus of Scientific Paper Edits Made in Response to Peer Reviews.

Mike D'Arcy, Alexis Ross, Erin Bransom, Bailey Kuehl, Jonathan Bragg, Tom Hope, Doug Downey

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Inverse Scaling: When Bigger Isn't Better.

Ian R. McKenzie, Alexander Lyzhov, Michael Pieler, Alicia Parrish, Aaron Mueller, Ameya Prabhu, Euan McLean, Aaron Kirtland, Alexis Ross, Alisa Liu, Andrew Gritsevskiy, Daniel Wurgaft, Derik Kauffman, Gabriel Recchia, Jiacheng Liu, Joe Cavanagh, Max Weiss, Sicong Huang, The Floating Droid, Tom Tseng, Tomasz Korbak, Xudong Shen, Yuhui Zhang, Zhengping Zhou, Najoung Kim, Samuel R. Bowman, Ethan Perez

Trans. Mach. Learn. Res., 2023

CREST: A Joint Framework for Rationalization and Counterfactual Text Generation.

Marcos V. Treviso, Alexis Ross, Nuno Miguel Guerreiro, André F. T. Martins

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Does Self-Rationalization Improve Robustness to Spurious Correlations?

Alexis Ross, Matthew E. Peters, Ana Marasovic

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

Tailor: Generating and Perturbing Text with Semantic Controls.

Alexis Ross, Tongshuang Wu, Hao Peng, Matthew E. Peters, Matt Gardner

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Learning Models for Actionable Recourse.

Alexis Ross, Himabindu Lakkaraju, Osbert Bastani

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Competency Problems: On Finding and Removing Artifacts in Language Data.

Matt Gardner, William Merrill, Jesse Dodge, Matthew E. Peters, Alexis Ross, Sameer Singh, Noah A. Smith

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Explaining NLP Models via Minimal Contrastive Editing (MiCE).

Alexis Ross, Ana Marasovic, Matthew E. Peters

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

Ensuring Actionable Recourse via Adversarial Training.

Alexis Ross, Himabindu Lakkaraju, Osbert Bastani

CoRR, 2020

2019

Probing What Different NLP Tasks Teach Machines about Function Word Comprehension.

Najoung Kim, Roma Patel, Adam Poliak, Patrick Xia, Alex Wang, Tom McCoy, Ian Tenney, Alexis Ross, Tal Linzen, Benjamin Van Durme, Samuel R. Bowman, Ellie Pavlick

Proceedings of the Eighth Joint Conference on Lexical and Computational Semantics, 2019

How well do NLI models capture verb veridicality?

Alexis Ross, Ellie Pavlick

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019