Publications
    
    2025
	- 
		Learning to Make MISTAKEs: Modeling Incorrect Student Thinking And Key Errors
		
 Alexis Ross and Jacob Andreas
 Preprint, 2025
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		Modeling Student Learning with 3.8 Million Program Traces
		
 Alexis Ross*, Megha Srivastava*, Jeremiah Blanchard, Jacob Andreas
 Preprint, 2025
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		Language Modeling with Editable External Knowledge
		
 Belinda Z. Li, Emmy Liu, Alexis Ross, Abbas Zeitoun, Graham Neubig, Jacob Andreas
 NAACL, 2025
2024
	- 
		Toward In-Context Teaching: Adapting Examples to Students' Misconceptions
		
 Alexis Ross and Jacob Andreas.
 ACL, 2024
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		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, 2024
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		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
 NAACL, 2024
2023
	- 
		CREST: A Joint Framework for Rationalization and Counterfactual Text Generation
		
 Marcos Treviso, Alexis Ross, Nuno M. Guerreiro, André F. T. Martins
 ACL, 2023
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		Inverse Scaling: When Bigger Isn't Better
		
 Ian R. McKenzie, ..., Alexis Ross (winning task author), ... Najoung Kim, Samuel R. Bowman, Ethan Perez
 TMLR, 2023
2022
2021
	- 
		Learning Models for Actionable Recourse
		
 Alexis Ross, Himabindu Lakkaraju, Osbert Bastani
 NeurIPS, 2021
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		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]
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		Explaining NLP Models via Minimal Contrastive Editing (MiCE)
		
 Alexis Ross, Ana Marasovic, Matthew E. Peters
 Findings of ACL, 2021
 [BibTex] [Code] [Video]
2019
	- 
		How well do NLI models capture verb veridicality? 
		
 Alexis Ross and Ellie Pavlick
 EMNLP, 2019
 Oral Presentation
 [BibTex] [Dataset] [Supplement] [Slides]
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		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]
Other Projects