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08/28/2023
Goodhart's Law Applies to NLP's Explanation Benchmarks
Despite the rising popularity of saliency-based explanations, the resear...
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05/18/2023
Inspecting the Geographical Representativeness of Images from Text-to-Image Models
Recent progress in generative models has resulted in models that produce...
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03/13/2023
Model-tuning Via Prompts Makes NLP Models Adversarially Robust
In recent years, NLP practitioners have converged on the following pract...
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03/09/2023
Learning the Legibility of Visual Text Perturbations
Many adversarial attacks in NLP perturb inputs to produce visually simil...
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02/16/2023
Assisting Human Decisions in Document Matching
Many practical applications, ranging from paper-reviewer assignment in p...
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10/17/2022
Measures of Information Reflect Memorization Patterns
Neural networks are known to exploit spurious artifacts (or shortcuts) t...
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04/22/2022
Learning to Scaffold: Optimizing Model Explanations for Teaching
Modern machine learning models are opaque, and as a result there is a bu...
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12/17/2021
Explain, Edit, and Understand: Rethinking User Study Design for Evaluating Model Explanations
In attempts to "explain" predictions of machine learning models, researc...
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12/01/2020
Evaluating Explanations: How much do explanations from the teacher aid students?
While many methods purport to explain predictions by highlighting salien...
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11/03/2020
Weakly- and Semi-supervised Evidence Extraction
For many prediction tasks, stakeholders desire not only predictions but ...
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10/21/2020
NeuSpell: A Neural Spelling Correction Toolkit
We introduce NeuSpell, an open-source toolkit for spelling correction in...
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05/01/2020
Why and when should you pool? Analyzing Pooling in Recurrent Architectures
Pooling-based recurrent neural architectures consistently outperform the...
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09/17/2019
Learning to Deceive with Attention-Based Explanations
Attention mechanisms are ubiquitous components in neural architectures a...
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05/27/2019
Combating Adversarial Misspellings with Robust Word Recognition
To combat adversarial spelling mistakes, we propose placing a word recog...
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03/19/2019
compare-mt: A Tool for Holistic Comparison of Language Generation Systems
In this paper, we describe compare-mt, a tool for holistic analysis and ...
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04/02/2018
Simple and Effective Semi-Supervised Question Answering
Recent success of deep learning models for the task of extractive Questi...
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11/23/2017
