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06/21/2023
Limits for Learning with Language Models
With the advent of large language models (LLMs), the trend in NLP has be...
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06/08/2023
Are fairness metric scores enough to assess discrimination biases in machine learning?
This paper presents novel experiments shedding light on the shortcomings...
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05/11/2023
COCKATIEL: COntinuous Concept ranKed ATtribution with Interpretable ELements for explaining neural net classifiers on NLP tasks
Transformer architectures are complex and their use in NLP, while it has...
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02/27/2023
How optimal transport can tackle gender biases in multi-class neural-network classifiers for job recommendations?
Automatic recommendation systems based on deep neural networks have beco...
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12/21/2022
Analyzing Semantic Faithfulness of Language Models via Input Intervention on Conversational Question Answering
Transformer-based language models have been shown to be highly effective...
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10/19/2021
Interpretive Blindness
We model here an epistemic bias we call interpretive blindness (IB). IB ...
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08/30/2021
Transport-based Counterfactual Models
Counterfactual frameworks have grown popular in explainable and fair mac...
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07/04/2021
Efficient Explanations for Knowledge Compilation Languages
Knowledge compilation (KC) languages find a growing number of practical ...
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12/21/2020
On Relating 'Why?' and 'Why Not?' Explanations
Explanations of Machine Learning (ML) models often address a 'Why?' ques...
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01/21/2020
Adequate and fair explanations
Explaining sophisticated machine-learning based systems is an important ...
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06/29/2018