What makes this particularly dangerous in enterprise and production contexts is not just that the model gets it wrong, but ...
Abstract: Recently, the integration of large language models (LLMs) and knowledge graphs (KGs) is a research focal point, since they have complementary strengths and weaknesses for logical reasoning.
A high school teacher describes how she teaches her students that disciplinary literacy is more than ‘fancy’ vocabulary.
First set out in a scientific paper last September, Pathway’s post-transformer architecture, BDH (Dragon hatchling), gives LLMs native reasoning powers with intrinsic memory mechanisms that support ...
Abstract: Logical reasoning of text requires neural models to possess strong contextual comprehension and logical reasoning ability to draw conclusions from limited information. To improve the logical ...
ProverGen is a novel framework that synergizes the generative strengths of Large Language Models (LLMs) with the rigor and precision of symbolic provers to create scalable, diverse, and high-quality ...
A React TypeScript application that demonstrates logic puzzle solving using Tau Prolog and WebAssembly. This interactive educational tool allows users to explore constraint satisfaction problems ...
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