Supplemental Material for "Visual-Explainable AI: The Use Case of Language Models"

DOI

Supplemental material for the poster "Visual-Explainable AI: The Use Case of Language Models" published at the International Conference on Data-Integrated Simulation Science 2023.

Collection of videos and images showing our interactive visualization systems for exploring language models: - Text classification (https://github.com/MunzT/hiddenStatesVis) - Neural machine translation (https://github.com/MunzT/NMTVis)

Identifier
DOI https://doi.org/10.18419/darus-3456
Metadata Access https://darus.uni-stuttgart.de/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.18419/darus-3456
Provenance
Creator Munz-Körner, Tanja ORCID logo; Künzel, Sebastian ORCID logo; Weiskopf, Daniel ORCID logo
Publisher DaRUS
Contributor Munz-Körner, Tanja
Publication Year 2023
Funding Reference DFG EXC 2075 - 390740016
Rights CC BY 4.0; info:eu-repo/semantics/openAccess; http://creativecommons.org/licenses/by/4.0
OpenAccess true
Contact Munz-Körner, Tanja (University of Stuttgart)
Representation
Resource Type Dataset
Format video/mp4; application/zip
Size 108239982; 17647789; 99004140; 2236135
Version 1.0
Discipline Other