CITB: A Benchmark for Continual Instruction Tuning

Zhang, Z Fang, M Chen, L Namazi-Rad, M-R

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Publisher:: Association for Computational Linguistics
Publication Type:: Conference Proceeding
Citation:: Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Issue Date:: 2023

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Field	Value	Language
dc.contributor.author	Zhang, Z
dc.contributor.author	Fang, M
dc.contributor.author	Chen, L
dc.contributor.author	Namazi-Rad, M-R
dc.date	2023-12
dc.date.accessioned	2024-03-04T03:35:44Z
dc.date.available	2024-03-04T03:35:44Z
dc.date.issued	2023
dc.identifier.citation	Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
dc.identifier.uri	http://hdl.handle.net/10453/176055
dc.language	en
dc.publisher	Association for Computational Linguistics
dc.relation.ispartof	Findings of the Association for Computational Linguistics: EMNLP 2023
dc.relation.ispartof	Findings of the Association for Computational Linguistics: EMNLP 2023
dc.relation.isbasedon	10.18653/v1/2023.findings-emnlp.633
dc.rights	info:eu-repo/semantics/openAccess
dc.title	CITB: A Benchmark for Continual Instruction Tuning
dc.type	Conference Proceeding
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
utslib.copyright.status	open_access	*
dc.date.updated	2024-03-04T03:35:43Z
pubs.finish-date	2023-12
pubs.publication-status	Published
pubs.start-date	2023-12

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