Advanced XAI Techniques and Inseq: An Interpretability Toolkit for Sequence Generation Models | Gabriele Sarti
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Advanced XAI Techniques and Inseq: An Interpretability Toolkit for Sequence Generation Models
Gabriele Sarti
Natural Language Processing
,
Academic
Code
Project
Slides
Date
Mar 23, 2023
Event
InDeep Consortium Meeting - March 2023
Location
Radboud University, Nijmegen
Natural Language Processing
Interpretability
Sequence-to-sequence
Language Modeling
Feature Attribution
Related
Inseq: An Interpretability Toolkit for Sequence Generation Models
Introducing Inseq: An Interpretability Toolkit for Sequence Generation Models
Towards User-centric Interpretability of Machine Translation Models
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Empowering Human Translators via Interpretable Interactive Neural Machine Translation
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