research
∙
05/29/2023
Faithfulness Tests for Natural Language Explanations
Explanations of neural models aim to reveal a model's decision-making pr...
share
research
∙
05/22/2023
SPARSEFIT: Few-shot Prompting with Sparse Fine-tuning for Jointly Generating Predictions and Natural Language Explanations
Explaining the decisions of neural models is crucial for ensuring their ...
research
∙
05/22/2023
Logical Reasoning for Natural Language Inference Using Generated Facts as Atoms
State-of-the-art neural models can now reach human performance levels ac...
research
∙
02/11/2023
Counter-GAP: Counterfactual Bias Evaluation through Gendered Ambiguous Pronouns
Bias-measuring datasets play a critical role in detecting biased behavio...
research
∙
01/15/2023
Rationalizing Predictions by Adversarial Information Calibration
Explaining the predictions of AI models is paramount in safety-critical ...
research
∙
07/09/2022
Explaining Chest X-ray Pathologies in Natural Language
Most deep learning algorithms lack explanations for their predictions, w...
research
∙
12/12/2021
Few-Shot Out-of-Domain Transfer Learning of Natural Language Explanations
Recently, there has been an increasing interest in models that generate ...
research
∙
06/25/2021
Rationale-Inspired Natural Language Explanations with Commonsense
Explainable machine learning models primarily justify predicted labels u...
research
∙
05/08/2021
e-ViL: A Dataset and Benchmark for Natural Language Explanations in Vision-Language Tasks
Recently, an increasing number of works have introduced models capable o...
research
∙
12/16/2020
Learning from the Best: Rationalizing Prediction by Adversarial Information Calibration
Explaining the predictions of AI models is paramount in safety-critical ...
research
∙
11/03/2020
The Gap on GAP: Tackling the Problem of Differing Data Distributions in Bias-Measuring Datasets
Diagnostic datasets that can detect biased models are an important prere...
research
∙
10/06/2020
Does the Objective Matter? Comparing Training Objectives for Pronoun Resolution
Hard cases of pronoun resolution have been used as a long-standing bench...
research
∙
10/04/2020
Explaining Deep Neural Networks
Deep neural networks are becoming more and more popular due to their rev...
research
∙
09/23/2020
The Struggles of Feature-Based Explanations: Shapley Values vs. Minimal Sufficient Subsets
For neural models to garner widespread public trust and ensure fairness,...
research
∙
04/07/2020
e-SNLI-VE-2.0: Corrected Visual-Textual Entailment with Natural Language Explanations
The recently proposed SNLI-VE corpus for recognising visual-textual enta...
research
∙
08/21/2019
WikiCREM: A Large Unsupervised Corpus for Coreference Resolution
Pronoun resolution is a major area of natural language understanding. Ho...
research
∙
05/15/2019
A Surprisingly Robust Trick for Winograd Schema Challenge
The Winograd Schema Challenge (WSC) dataset WSC273 and its inference cou...
research
∙
12/04/2018
e-SNLI: Natural Language Inference with Natural Language Explanations
In order for machine learning to garner widespread public adoption, mode...
research
∙
12/04/2018
