The method has two main features: it evaluates how AI models reason through problems instead of just checking whether their final answers are correct, and it evaluates the quality of training data so ...

Abstract: This paper presents LogiCode, a novel framework that leverages Large Language Models (LLMs) for identifying logical anomalies in industrial settings, moving beyond the traditional focus on ...

Multimodal chain-of-thought (MCoT) reasoning has garnered attention for its ability to enhance step-by-step reasoning in multimodal contexts, particularly within multimodal large language models ...

Abstract: Answering logical questions with a knowledge graph has been a critical research focus because this needs to reason and synthesize information. Previous studies have mainly dealt with logical ...