Abstract: Large language models (LLMs) have been shown to struggle with complex logical reasoning tasks due to the inherent ambiguity and complexity of natural language. These challenges are further ...

Large Language Models (LLMs) have made significant strides in various Natural Language Processing tasks, yet they still struggle with mathematics and complex logical reasoning. Chain-of-Thought (CoT) ...

In World War II’s most desperate months, the mathematician Alan Turing assembled a team of codebreakers to decrypt intercepted Nazi messages. He tested applicants with chess puzzles, hired a ...

A study on approximation algorithms to solve for minimum feedback vertex set. Minimum Feedback Vertex Set is an NP-Complete problem in Graph Theory.

During a recent interview with Chrissy Teigen, Vice President Kamala Harris said, “I’m going to confess, I love Venn diagrams. If you’re ever in a moment of conflict, pull out a Venn diagram, they’ll ...

The crucial challenge of enhancing logical reasoning capabilities in Large Language Models (LLMs) is pivotal for achieving human-like reasoning, a fundamental step towards realizing Artificial General ...

Dr. Jans Aasman: Neuro-symbolic AI is an advanced approach that integrates machine learning, neural network decision-making, symbolic logic and reasoning, and the capabilities of large language models ...