國立虎尾科技大學 |

Efficient Natural Language Processing for Language Models.

Record Type:	Language materials, manuscript : Monograph/item
Title/Author:	Efficient Natural Language Processing for Language Models./
Author:	Xu, Canwen.
Description:	1 online resource (150 pages)
Notes:	Source: Dissertations Abstracts International, Volume: 85-10, Section: B.
Contained By:	Dissertations Abstracts International85-10B.
Subject:	Computer science. -
Online resource:	click for full text (PQDT)
ISBN:	9798382223490

Efficient Natural Language Processing for Language Models.
Xu, Canwen.

Efficient Natural Language Processing for Language Models. - 1 online resource (150 pages)

Source: Dissertations Abstracts International, Volume: 85-10, Section: B.

Thesis (Ph.D.)--University of California, San Diego, 2024.

Includes bibliographical references

Despite achieving state-of-the-art performance on many NLP tasks, the high energy cost and long inference delay prevent Transformer-based language models (LMs) from seeing broader adoption including for edge and mobile computing. Our efficient NLP research aims to comprehensively consider computation, time and carbon emission for the entire life-cycle of NLP, including data preparation, model training and inference.We demonstrate ways to promote computational efficiency in natural language processing, thus reducing hardware and software bottlenecks of training and inference, which is crucial in applying such models in production. Efficient NLP further facilitates democratization of language technology and allows language models to be accessible to more people.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2024

Mode of access: World Wide Web

ISBN: 9798382223490Subjects--Topical Terms:

573171
Computer science.
Subjects--Index Terms:

Natural language processingIndex Terms--Genre/Form:

554714
Electronic books.

Efficient Natural Language Processing for Language Models.
LDR:02172ntm a22004097 4500 001 1144975
005 20240617111732.5
006 m o d
007 cr mn ---uuuuu
008 250605s2024 xx obm 000 0 eng d
020 $a 9798382223490
035 $a (MiAaPQ)AAI30993169
035 $a AAI30993169
040 $a MiAaPQ $b eng $c MiAaPQ $d NTU
100 1 $a Xu, Canwen. $3 1470170
245 1 0 $a Efficient Natural Language Processing for Language Models.
264 0 $c 2024
300 $a 1 online resource (150 pages)
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
500 $a Source: Dissertations Abstracts International, Volume: 85-10, Section: B.
500 $a Advisor: McAuley, Julian.
502 $a Thesis (Ph.D.)--University of California, San Diego, 2024.
504 $a Includes bibliographical references
520 $a Despite achieving state-of-the-art performance on many NLP tasks, the high energy cost and long inference delay prevent Transformer-based language models (LMs) from seeing broader adoption including for edge and mobile computing. Our efficient NLP research aims to comprehensively consider computation, time and carbon emission for the entire life-cycle of NLP, including data preparation, model training and inference.We demonstrate ways to promote computational efficiency in natural language processing, thus reducing hardware and software bottlenecks of training and inference, which is crucial in applying such models in production. Efficient NLP further facilitates democratization of language technology and allows language models to be accessible to more people.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2024
538 $a Mode of access: World Wide Web
650 4 $a Computer science. $3 573171
650 4 $a Statistics. $3 556824
650 4 $a Information technology. $3 559429
653 $a Natural language processing
653 $a Language models
653 $a Computational efficiency
653 $a Data efficiency
653 $a Early exit
655 7 $a Electronic books. $2 local $3 554714
690 $a 0984
690 $a 0489
690 $a 0800
690 $a 0463
710 2 $a ProQuest Information and Learning Co. $3 1178819
710 2 $a University of California, San Diego. $b Computer Science and Engineering. $3 1189479
773 0 $t Dissertations Abstracts International $g 85-10B.
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30993169 $z click for full text (PQDT)