How well do NLI models capture verb veridicality? - Alexis Ross; Ellie Pavlick (EMNLP/IJCNLP (1), 2019)

Probing What Different NLP Tasks Teach Machines about Function Word Comprehension. - Najoung Kim; Roma Patel; Adam Poliak; Patrick Xia 002; Alex Wang; Tom McCoy 001; Ian Tenney; Alexis Ross; Tal Linzen; Benjamin Van Durme; Samuel R. Bowman; Ellie Pavlick (*SEM@NAACL-HLT, 2019)

Ensuring Actionable Recourse via Adversarial Training. - Alexis Ross; Himabindu Lakkaraju; Osbert Bastani (CoRR, 2020)

Explaining NLP Models via Minimal Contrastive Editing (MiCE). - Alexis Ross; Ana Marasovic; Matthew E. Peters (ACL/IJCNLP (Findings), 2021)

Competency Problems: On Finding and Removing Artifacts in Language Data. - Matt Gardner 001; William Merrill; Jesse Dodge; Matthew E. Peters; Alexis Ross; Sameer Singh 001; Noah A. Smith (EMNLP (1), 2021)

Learning Models for Actionable Recourse. - Alexis Ross; Himabindu Lakkaraju; Osbert Bastani (NeurIPS, 2021)

Tailor: Generating and Perturbing Text with Semantic Controls. - Alexis Ross; Tongshuang Wu; Hao Peng 009; Matthew E. Peters; Matt Gardner 001 (ACL (1), 2022)

Does Self-Rationalization Improve Robustness to Spurious Correlations? - Alexis Ross; Matthew E. Peters; Ana Marasovic (EMNLP, 2022)

CREST: A Joint Framework for Rationalization and Counterfactual Text Generation. - Marcos V. Treviso; Alexis Ross; Nuno Miguel Guerreiro; André F. T. Martins (ACL (1), 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; et al. (Trans. Mach. Learn. Res., 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 (ACL (1), 2024)

Toward In-Context Teaching: Adapting Examples to Students' Misconceptions. - Alexis Ross; Jacob Andreas (ACL (1), 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 003; Bailin Wang; Najoung Kim; Jacob Andreas; Yoon Kim (NAACL-HLT, 2024)

Learning Phonotactics from Linguistic Informants. - Canaan Breiss; Alexis Ross; Amani Maina-Kilaas; Roger Levy; Jacob Andreas (CoRR, 2024)

Language Modeling with Editable External Knowledge. - Belinda Z. Li; Emmy Liu; Alexis Ross; Abbas Zeitoun; Graham Neubig; Jacob Andreas (NAACL (Findings), 2025)