Large Language Models (LLMs) have revolutionized many areas of natural language processing, but they still face critical limitations when dealing…
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LLMs have demonstrated exceptional performance across multiple tasks by utilizing few-shot inference, also known as in-context learning (ICL). The main…
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Existing long-CoT reasoning models have achieved state-of-the-art performance in mathematical reasoning by generating reasoning trajectories with iterative self-verification and refinement.…
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Artificial intelligence research is rapidly evolving beyond pattern recognition and toward systems capable of complex, human-like reasoning. The latest breakthrough…
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In this tutorial, we are walking through a hands-on fusion of symbolic logic and generative AI. We set up PySwip…
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Visual reasoning tasks challenge artificial intelligence models to interpret and process visual information using both perception and logical reasoning. These…
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