Workshop on Unifying Concept Representation Learning (ICLR 2026)

CVPR 2025 Workshop on Uncertainty Quantification for Computer Vision.

The AAAI'25 tutorial on Tensor Factorizations + Probabilistic Circuits

Large language models (LLMs) are a promising venue for natural language understanding and generation. However, current LLMs are far from reliable: they are prone to generating non-factual information ...

SFI seeks applications for full-time, 12-month resident faculty positions at all academic levels.

A fundamental question for anyone interested in soccer is how to evaluate a player’s individual contributions using data. While counting…

Abstract:  With the recent rise of large language models (LLMs) and generative AI, we are treating interactions - both helpful and harmful - as behaviors tha...

The suicide of 14-year-old Sewell Setzer has intensified concerns over AI chatbot safety, as his mother files a lawsuit against Character.AI.

Several recent works seek to develop foundation models specifically for medical applications, adapting general-purpose large language models (LLMs) and vision-language models (VLMs) via continued pret...

Abstract: Neurosymbolic AI (NeSy) is regarded as the third wave in AI. It aims at combining knowledge representation and reasoning with neural networks. Nume...

The NeSy series is the longest standing gathering for the presentation and discussion of cutting edge research in neurosymbolic AI. NeSy is the annual meeting of the Neural-Symbolic Learning and Reaso...