Introducing Inseq: An Interpretability Toolkit for Sequence Generation Models | Gabriele Sarti
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Introducing Inseq: An Interpretability Toolkit for Sequence Generation Models
Gabriele Sarti
Natural Language Processing
,
Academic
Code
Project
Slides
Video
Date
Mar 10, 2023
Event
GroNLP Reading Group
Location
Harmonie Building, University of Groningen
Natural Language Processing
Neural Machine Translation
Interpretability
Sequence-to-sequence
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Towards User-centric Interpretability of NLP Models
Empowering Human Translators via Interpretable Interactive Neural Machine Translation
Advanced XAI Techniques and Inseq: An Interpretability Toolkit for Sequence Generation Models
Characterizing Linguistic Complexity in Humans and Language Models
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