Alexis Ross

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 25

Top Topics

Rhetorical Structure Theory

Language Modeling

Computing Semantic Relatedness

Textual Entailment

Top Venues

Publications

Canaan Breiss, Alexis Ross, Amani Maina-Kilaas, Roger Levy, Jacob Andreas
Learning Phonotactics from Linguistic Informants. CoRR (2024)
Alexis Ross, Jacob Andreas
Toward In-Context Teaching: Adapting Examples to Students' Misconceptions. ACL (1) (2024)
Zhaofeng Wu, Linlu Qiu, Alexis Ross, Ekin Akyürek, Boyuan Chen, Bailin Wang, Najoung Kim, Jacob Andreas, Yoon Kim
Reasoning or Reciting? Exploring the Capabilities and Limitations of Language Models Through Counterfactual Tasks. NAACL-HLT (2024)
Mike D'Arcy, Alexis Ross, Erin Bransom, Bailey Kuehl, Jonathan Bragg, Tom Hope, Doug Downey
ARIES: A Corpus of Scientific Paper Edits Made in Response to Peer Reviews. ACL (1) (2024)
Alexis Ross, Jacob Andreas
Toward In-Context Teaching: Adapting Examples to Students' Misconceptions. CoRR (2024)
Belinda Z. Li, Emmy Liu, Alexis Ross, Abbas Zeitoun, Graham Neubig, Jacob Andreas
Language Modeling with Editable External Knowledge. CoRR (2024)
Mike D'Arcy, Alexis Ross, Erin Bransom, Bailey Kuehl, Jonathan Bragg, Tom Hope, Doug Downey
ARIES: A Corpus of Scientific Paper Edits Made in Response to Peer Reviews. CoRR (2023)
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
Inverse Scaling: When Bigger Isn't Better. CoRR (2023)
Marcos V. Treviso, Alexis Ross, Nuno Miguel Guerreiro, André F. T. Martins
CREST: A Joint Framework for Rationalization and Counterfactual Text Generation. CoRR (2023)
Zhaofeng Wu, Linlu Qiu, Alexis Ross, Ekin Akyürek, Boyuan Chen, Bailin Wang, Najoung Kim, Jacob Andreas, Yoon Kim
Reasoning or Reciting? Exploring the Capabilities and Limitations of Language Models Through Counterfactual Tasks. CoRR (2023)
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
Inverse Scaling: When Bigger Isn't Better. Trans. Mach. Learn. Res. 2023 (2023)
Marcos V. Treviso, Alexis Ross, Nuno Miguel Guerreiro, André Martins
CREST: A Joint Framework for Rationalization and Counterfactual Text Generation. ACL (1) (2023)
Alexis Ross, Matthew E. Peters, Ana Marasovic
Does Self-Rationalization Improve Robustness to Spurious Correlations? EMNLP (2022)
Alexis Ross, Matthew E. Peters, Ana Marasovic
Does Self-Rationalization Improve Robustness to Spurious Correlations? CoRR (2022)
Alexis Ross, Tongshuang Wu, Hao Peng, Matthew E. Peters, Matt Gardner
Tailor: Generating and Perturbing Text with Semantic Controls. ACL (1) (2022)
Alexis Ross, Ana Marasovic, Matthew E. Peters
Explaining NLP Models via Minimal Contrastive Editing (MiCE). ACL/IJCNLP (Findings) (2021)
Alexis Ross, Tongshuang Wu, Hao Peng, Matthew E. Peters, Matt Gardner
Tailor: Generating and Perturbing Text with Semantic Controls. CoRR (2021)
Matt Gardner, William Merrill, Jesse Dodge, Matthew E. Peters, Alexis Ross, Sameer Singh, Noah A. Smith
Competency Problems: On Finding and Removing Artifacts in Language Data. EMNLP (1) (2021)
Matt Gardner, William Merrill, Jesse Dodge, Matthew E. Peters, Alexis Ross, Sameer Singh, Noah A. Smith
Competency Problems: On Finding and Removing Artifacts in Language Data. CoRR (2021)
Alexis Ross, Himabindu Lakkaraju, Osbert Bastani
Learning Models for Actionable Recourse. NeurIPS (2021)
Alexis Ross, Ana Marasovic, Matthew E. Peters
Explaining NLP Models via Minimal Contrastive Editing (MiCE). CoRR (2020)
Alexis Ross, Himabindu Lakkaraju, Osbert Bastani
Ensuring Actionable Recourse via Adversarial Training. CoRR (2020)
Najoung Kim, Roma Patel, Adam Poliak, Alex Wang, Patrick Xia, R. Thomas McCoy, Ian Tenney, Alexis Ross, Tal Linzen, Benjamin Van Durme, Samuel R. Bowman, Ellie Pavlick
Probing What Different NLP Tasks Teach Machines about Function Word Comprehension. CoRR (2019)
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
Probing What Different NLP Tasks Teach Machines about Function Word Comprehension. *SEM@NAACL-HLT (2019)
Alexis Ross, Ellie Pavlick
How well do NLI models capture verb veridicality? EMNLP/IJCNLP (1) (2019)