Web: http://arxiv.org/abs/2206.10591

June 23, 2022, 1:10 a.m. | Moritz Willig, Matej Zečević, Devendra Singh Dhami, Kristian Kersting

cs.LG updates on arXiv.org arxiv.org

Foundation models are subject to an ongoing heated debate, leaving open the
question of progress towards AGI and dividing the community into two camps: the
ones who see the arguably impressive results as evidence to the scaling
hypothesis, and the others who are worried about the lack of interpretability
and reasoning capabilities. By investigating to which extent causal
representations might be captured by these large scale language models, we make
a humble efforts towards resolving the ongoing philosophical conflicts.

ai arxiv causality models talk

More from arxiv.org / cs.LG updates on arXiv.org

Machine Learning Researcher - Saalfeld Lab

@ Howard Hughes Medical Institute - Chevy Chase, MD | Ashburn, Virginia

Project Director, Machine Learning in US Health

@ ideas42.org | Remote, US

Data Science Intern

@ NannyML | Remote

Machine Learning Engineer NLP/Speech

@ Play.ht | Remote

Research Scientist, 3D Reconstruction

@ Yembo | Remote, US

Clinical Assistant or Associate Professor of Management Science and Systems

@ University at Buffalo | Buffalo, NY