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Introduction While the Latent Program Network (LPN) presents a powerful new approach to program synthesis and reasoning, scaling it to larger, more...
Introduction One of the fundamental questions in machine learning is how models generalize from observed data to unseen examples. In AI research, this...
Introduction Despite the remarkable success of deep learning models, particularly large neural networks and pre-trained language models (LLMs),...
The Abstraction and Reasoning Corpus (ARC) benchmark presents one of the most significant challenges in artificial intelligence today: assessing a...