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2020 – today
- 2024
[c11]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: 6985-7001- [c10]Alexis Ross, Jacob Andreas:
Toward In-Context Teaching: Adapting Examples to Students' Misconceptions. ACL (1) 2024: 13283-13310 - [c9]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: 1819-1862 - [i13]Alexis Ross, Jacob Andreas:
Toward In-Context Teaching: Adapting Examples to Students' Misconceptions. CoRR abs/2405.04495 (2024) - [i12]Canaan Breiss, Alexis Ross, Amani Maina-Kilaas, Roger Levy, Jacob Andreas:
Learning Phonotactics from Linguistic Informants. CoRR abs/2405.04726 (2024) - [i11]Belinda Z. Li, Emmy Liu, Alexis Ross, Abbas Zeitoun, Graham Neubig, Jacob Andreas:
Language Modeling with Editable External Knowledge. CoRR abs/2406.11830 (2024) - 2023
- [j1]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) - [c8]Marcos V. Treviso, Alexis Ross, Nuno Miguel Guerreiro, André F. T. Martins:
CREST: A Joint Framework for Rationalization and Counterfactual Text Generation. ACL (1) 2023: 15109-15126 - [i10]Marcos V. Treviso, Alexis Ross, Nuno Miguel Guerreiro, André F. T. Martins:
CREST: A Joint Framework for Rationalization and Counterfactual Text Generation. CoRR abs/2305.17075 (2023) - [i9]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 abs/2306.09479 (2023) - [i8]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 abs/2306.12587 (2023) - [i7]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 abs/2307.02477 (2023) - 2022
- [c7]Alexis Ross, Tongshuang Wu, Hao Peng, Matthew E. Peters, Matt Gardner:
Tailor: Generating and Perturbing Text with Semantic Controls. ACL (1) 2022: 3194-3213 - [c6]Alexis Ross, Matthew E. Peters, Ana Marasovic:
Does Self-Rationalization Improve Robustness to Spurious Correlations? EMNLP 2022: 7403-7416 - [i6]Alexis Ross, Matthew E. Peters, Ana Marasovic:
Does Self-Rationalization Improve Robustness to Spurious Correlations? CoRR abs/2210.13575 (2022) - 2021
- [c5]Alexis Ross, Ana Marasovic, Matthew E. Peters:
Explaining NLP Models via Minimal Contrastive Editing (MiCE). ACL/IJCNLP (Findings) 2021: 3840-3852 - [c4]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: 1801-1813 - [c3]Alexis Ross, Himabindu Lakkaraju, Osbert Bastani:
Learning Models for Actionable Recourse. NeurIPS 2021: 18734-18746 - [i5]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 abs/2104.08646 (2021) - [i4]Alexis Ross, Tongshuang Wu, Hao Peng, Matthew E. Peters, Matt Gardner:
Tailor: Generating and Perturbing Text with Semantic Controls. CoRR abs/2107.07150 (2021) - 2020
- [i3]Alexis Ross, Himabindu Lakkaraju, Osbert Bastani:
Ensuring Actionable Recourse via Adversarial Training. CoRR abs/2011.06146 (2020) - [i2]Alexis Ross, Ana Marasovic, Matthew E. Peters:
Explaining NLP Models via Minimal Contrastive Editing (MiCE). CoRR abs/2012.13985 (2020)
2010 – 2019
- 2019
- [c2]Alexis Ross, Ellie Pavlick:
How well do NLI models capture verb veridicality? EMNLP/IJCNLP (1) 2019: 2230-2240 - [c1]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: 235-249 - [i1]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 abs/1904.11544 (2019)
Coauthor Index
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last updated on 2024-09-26 00:57 CEST by the dblp team
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