Abstract: Abductive reasoning seeks the likeliest possible explanation for partial observations. Although being frequently employed in human daily reasoning, abduction is rarely explored in computer ...

Recent advancements in multimodal slow-thinking systems have demonstrated remarkable performance across diverse visual reasoning tasks. However, their capabilities in text-rich image reasoning tasks ...

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Microsoft’s recent release of Phi-4-reasoning challenges a key assumption in building artificial intelligence systems capable of reasoning. Since the introduction of chain-of-thought reasoning in 2022 ...

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 ...

A therapist sits across from a client who appears highly confident yet unexpectedly describes deep feelings of inadequacy. How does the therapist make sense of this contradiction? Is it a sign of ...

LEWES, Del., March 20, 2025 (GLOBE NEWSWIRE) -- John Snow Labs, the AI for healthcare company, today announced Medical LLM Reasoner, the first commercially available healthcare-specific reasoning ...

The critical issue of restricted access to high-quality reasoning datasets has limited open-source AI-driven logical and mathematical reasoning advancements. While proprietary models have leveraged ...