Publications

Preprints

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
Preprint, 2023
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
Preprint, 2023

CREST: A Joint Framework for Rationalization and Counterfactual Text Generation
Marcos Treviso, Alexis Ross, Nuno M. Guerreiro, André F. T. Martins
ACL, 2023

Does Self-Rationalization Improve Robustness to Spurious Correlations?
Alexis Ross, Matthew E. Peters, Ana Marasovic
EMNLP, 2022
Tailor: Generating and Perturbing Text with Semantic Controls
Alexis Ross*, Tongshuang Wu*, Hao Peng, Matthew E. Peters, Matt Gardner
ACL, 2022
[BibTex] [Code] [Video] [Generator]

Learning Models for Actionable Recourse
Alexis Ross, Himabindu Lakkaraju, Osbert Bastani
NeurIPS, 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 Smith
EMNLP, 2021
[BibTex]
Explaining NLP Models via Minimal Contrastive Editing (MiCE)
Alexis Ross, Ana Marasovic, Matthew E. Peters
Findings of ACL, 2021
[BibTex] [Code] [Video]

How well do NLI models capture verb veridicality?
Alexis Ross and Ellie Pavlick
EMNLP, 2019
Oral Presentation
[BibTex] [Dataset] [Supplement] [Slides]
Probing what different NLP tasks teach machines about function word comprehension
Najoung Kim, Roma Patel, Adam Poliak, Alex Wang, Patrick Xia, Tom McCoy, Ian Tenney, Alexis Ross, Tal Linzen, Benjamin Van Durme, Sam Bowman, Ellie Pavlick
*SEM, 2019
Best Paper Award
[BibTex]

Using Linear Approximations to Explain Complex, Blackbox Classifiers
Advised by Hima Lakkaraju and Bernhard Nickel.
Senior Thesis, Computer Science and Philosophy, 2020.
Hoopes Prize