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09/17/2023
Mitigating Shortcuts in Language Models with Soft Label Encoding
Recent research has shown that large language models rely on spurious co...
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09/02/2023
Explainability for Large Language Models: A Survey
Large language models (LLMs) have demonstrated impressive capabilities i...
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03/02/2023
Understanding and Unifying Fourteen Attribution Methods with Taylor Interactions
Various attribution methods have been developed to explain deep neural n...
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02/25/2023
Bayesian Neural Networks Tend to Ignore Complex and Sensitive Concepts
In this paper, we focus on mean-field variational Bayesian Neural Networ...
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11/11/2021
Towards Axiomatic, Hierarchical, and Symbolic Explanation for Deep Models
This paper proposes a hierarchical and symbolic And-Or graph (AOG) to ob...
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05/28/2021
A General Taylor Framework for Unifying and Revisiting Attribution Methods
Attribution methods provide an insight into the decision-making process ...
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04/14/2021
Mutual Information Preserving Back-propagation: Learn to Invert for Faithful Attribution
Back propagation based visualizations have been proposed to interpret de...
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08/21/2020