Language Models Can Reduce Asymmetry in Information Markets

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Rahaman, Nasim, Weiss, Martin, Wüthrich, Manuel, Bengio, Yoshua, Li, Li Erran, Pal, Chris, Schölkopf, Bernhard
Format:	Preprint
Published:	2024
Subjects:	Artificial Intelligence Computation and Language Computer Science and Game Theory Machine Learning Multiagent Systems Social and Information Networks
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Internet

https://arxiv.org/abs/2403.14443