Interactive Natural Language Processing

Language Model as Agent

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Éditeur :

Springer

Paru le : 2026-04-05

This book addresses the emergence of Interactive Natural Language Processing (iNLP) and its novel paradigm within the field of NLP and discusses the limitations in existing frameworks while aligning with the ultimate goals of artificial intelligence. This paradigm considers language models as agents...
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Éditeur

Collection
n.c

Parution
2026-04-05

Pages
227 pages

EAN papier
9783032062635

Auteur(s) du livre


Zekun Wang is a graduate student at Beihang University. Previously, he interned at Beijing Academy of Artificial Intelligence and ByteDance. He is currently at KlingAI from Kuaishou Technology. His research focuses on Large Language Models and Multimodal Large Language Models. Ge Zhang is currently pursing a Ph.D. degree at the University of Waterloo. His research interests include music generation, self-supervised learning, and natural language processing, specifically human moral value alignment. Chenghua Lin is a Full Professor and Chair in Natural Language Processing in the Department of Computer Science at the University of Manchester. His research focuses on the integration of machine learning and natural language processing for language generation and understanding. He also serves as Chair of the ACL SIGGEN Board and is a member of the IEEE Speech and Language Processing Technical Committee. Jie Fu, Ph.D., is a visiting scholar at Hong Kong University of Science and Technology. He obtained his Ph.D. from the National University of Singapore and did his postdoctoral training at Quebec AI Institute (Mila). His reearch focuses on deep learning and large languge models.

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EAN PDF
9783032062642
Prix
42,19 €
Nombre pages copiables
2
Nombre pages imprimables
22
Taille du fichier
16527 Ko
EAN EPUB
9783032062642
Prix
42,19 €
Nombre pages copiables
2
Nombre pages imprimables
22
Taille du fichier
9697 Ko

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