The rise of large language models raises questions about what rules of grammar they have really learned. Do they have a similar understanding of language as humans? Priming may provide answers.
What’s on this image? Neural networks are great at recognizing objects – describing whole scenes is much more difficult. Research at the ILLC shows that it might help to let machines look at images like humans do.
Researchers at the ILLC are developing algorithms to detect fake news and those who spread it. But the technical solution is only half the story. Unless applied carefully, automatic fake news detection is problematic.
Dieuwke Hupkes reflects on her PhD in the fast-moving field of natural language processing. Artificial neural networks are not only computational tools – they can also teach us something about the human brain.