Mechanistic interpretability is the program of explaining what AI systems are doing in terms
of their internal mechanisms. I analyze some aspects of the program, along with setting out …

Creativity is the ability to produce novel, useful, and surprising ideas, and has been widely
studied as a crucial aspect of human cognition. Machine creativity on the other hand has …

This survey examines the evolution of model architectures in information retrieval (IR),
focusing on two key aspects: backbone models for feature extraction and end-to-end system …

Neurosymbolic AI (NeSy) offers a promising approach to addressing the interpretability
challenges in artificial intelligence by bridging neural networks and symbolic reasoning. This …