| https://dblp.org/rdf/schema#authoredBy
|
https://dblp.org/pid/282/6213 +
, https://dblp.org/pid/158/6747 +
, https://dblp.org/pid/150/4295 +
, https://dblp.org/pid/314/6067 +
, https://dblp.org/pid/47/2026-19 +
, https://dblp.org/pid/71/3692 +
, https://dblp.org/pid/121/6722 +
, https://dblp.org/pid/333/4268 +
, https://dblp.org/pid/49/67 +
, https://dblp.org/pid/197/0141 +
, https://dblp.org/pid/155/3173 +
, https://dblp.org/pid/91/500 +
, https://dblp.org/pid/33/7132 +
, https://dblp.org/pid/135/6973 +
, https://dblp.org/pid/52/323-1 +
, https://dblp.org/pid/05/6735-1 +
|
| https://dblp.org/rdf/schema#bibtexType
|
http://purl.org/net/nknouf/ns/bibtex#Article +
|
| https://dblp.org/rdf/schema#createdBy
|
https://dblp.org/pid/282/6213 +
, https://dblp.org/pid/158/6747 +
, https://dblp.org/pid/150/4295 +
, https://dblp.org/pid/314/6067 +
, https://dblp.org/pid/47/2026-19 +
, https://dblp.org/pid/71/3692 +
, https://dblp.org/pid/121/6722 +
, https://dblp.org/pid/333/4268 +
, https://dblp.org/pid/49/67 +
, https://dblp.org/pid/197/0141 +
, https://dblp.org/pid/155/3173 +
, https://dblp.org/pid/91/500 +
, https://dblp.org/pid/33/7132 +
, https://dblp.org/pid/135/6973 +
, https://dblp.org/pid/52/323-1 +
, https://dblp.org/pid/05/6735-1 +
|
| https://dblp.org/rdf/schema#documentPage
|
https://doi.org/10.48550/ARXIV.2312.09979 +
|
| https://dblp.org/rdf/schema#doi
|
https://doi.org/10.48550/ARXIV.2312.09979 +
|
| https://dblp.org/rdf/schema#listedOnTocPage
|
https://dblp.org/db/journals/corr/corr2312 +
|
| https://dblp.org/rdf/schema#numberOfCreators
|
16
|
| https://dblp.org/rdf/schema#primaryDocumentPage
|
https://doi.org/10.48550/ARXIV.2312.09979 +
|
| https://dblp.org/rdf/schema#publishedIn
|
CoRR
|
| https://dblp.org/rdf/schema#publishedInJournal
|
CoRR
|
| https://dblp.org/rdf/schema#publishedInJournalVolume
|
abs/2312.09979
|
| https://dblp.org/rdf/schema#publishedInStream
|
https://dblp.org/streams/journals/corr +
|
| https://dblp.org/rdf/schema#title
|
LoRAMoE: Revolutionizing Mixture of Experts for Maintaining World Knowledge in Language Model Alignment.
|
| https://dblp.org/rdf/schema#yearOfPublication
|
2023
|
| owl:sameAs |
https://doi.org/10.48550/ARXIV.2312.09979 +
, http://dx.doi.org/10.48550/ARXIV.2312.09979 +
|
| rdf:type |
https://dblp.org/rdf/schema#Publication +
, https://dblp.org/rdf/schema#Informal +
|
| rdfs:label |
Shihan Dou et al.: LoRAMoE: Revolutionizing Mixture of Experts for Maintaining World Knowledge in Language Model Alignment. (2023)
|
