From April 23 to 27, the International Conference on Learning Representations 2026 (ICLR) will take place in Rio de Janeiro. It is the leading gathering of professionals working to advance the field of artificial intelligence known as representation learning, commonly referred to as deep learning.
On April 26 at 9:00 AM (GMT-3), as part of the workshop “Logical Reasoning of Large Language Models,” Sofía Martinelli will present a paper proposing a taxonomy of resources for evaluating biases in reasoning models. She will participate with both a talk and a poster presentation. The paper was co-authored with Luciana Benotti and Guido Ivetta.
More information: https://iclr.cc/
