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06/21/2023
ARIES: A Corpus of Scientific Paper Edits Made in Response to Peer Reviews
Revising scientific papers based on peer feedback is a challenging task ...
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06/15/2023
Inverse Scaling: When Bigger Isn't Better
Work on scaling laws has found that large language models (LMs) show pre...
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05/26/2023
CREST: A Joint Framework for Rationalization and Counterfactual Text Generation
Selective rationales and counterfactual examples have emerged as two eff...
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10/24/2022
Does Self-Rationalization Improve Robustness to Spurious Correlations?
Rationalization is fundamental to human reasoning and learning. NLP mode...
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07/15/2021
Tailor: Generating and Perturbing Text with Semantic Controls
Making controlled perturbations is essential for various tasks (e.g., da...
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04/17/2021
Competency Problems: On Finding and Removing Artifacts in Language Data
Much recent work in NLP has documented dataset artifacts, bias, and spur...
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12/27/2020
Explaining NLP Models via Minimal Contrastive Editing (MiCE)
Humans give contrastive explanations that explain why an observed event ...
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11/12/2020
Ensuring Actionable Recourse via Adversarial Training
As machine learning models are increasingly deployed in high-stakes doma...
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04/25/2019
