Abstract: The commonsense reasoning capabilities of vision-language models (VLMs), especially in abductive reasoning and defeasible reasoning, remain poorly understood. Most benchmarks focus on ...

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Instead of doing one thing very well, artificial general intelligence will do many things very well — if it ever arrives. As artificial intelligence, particularly generative AI, gains traction in the ...

Something was bothering Ian Thomas about AI agents - and it wasn't just the hype. It was the confusion over what agents actually do (agent-washing by vendors doesn't help either). So he wrote a ...

This is our PyTorch Implementation of "Inferring Past Human Actions in Homes with Abductive Reasoning" using the Action Genome dataset. First, create a new conda ...

ABSTRACT: Design thinking has gained prominence as an innovative, human-centered methodology for addressing complex problems across disciplines. Despite its widespread application in fields such as ...

The integration of machine learning and logical reasoning has long been considered a holy grail problem in artificial intelligence. ABductive Learning (ABL) is a paradigm that integrates machine ...

Design thinking has gained prominence as an innovative, human-centered methodology for addressing complex problems across disciplines. Despite its widespread application in fields such as business and ...

In the roughly two years since the public release of ChatGPT, artificial intelligence has advanced far more rapidly than humanity has learned to use its good features and to suppress its bad ones. On ...