As software systems grow more complex and AI tools generate code faster than ever, a fundamental problem is getting worse: Engineers are drowning in debugging work, spending up to half their time ...

There is nothing better than deductive reasoning to win a test, belief or an argument. This type of logical argument produce rock-solid conclusions, and not everyone can use it with certainty.

Abstract: With the advent of technologies and data created each day in new media, cybersecurity is the main concern for many researchers. One of the main questions is the trending data analytics on ...

ABSTRACT: The paper explores how integrating alternative fuels and renewable energy technologies—like solar, wind, and geothermal—into the UK’s sustainable design can promote sustainable design in the ...

Despite great performance on Olympiad-level reasoning problems, frontier large language models can still struggle on high school math. We study the nature of language models’ (LM) reasoning by ...

Abstract: This study explores the enhancement of deductive reasoning capabilities in Large Language Models (LLMs) through a strategic dual-agent framework. In this framework, one agent acts as a ...

Researchers have conducted a systematic analysis of large language models' capabilities for inductive and deductive reasoning. The study reveals both surprising strengths and clear limitations of ...

Natural Program enables large language models to perform precise deductive reasoning through a step-by-step verification process. By isolating necessary premises and rigorously verifying reasoning ...

Despite its effectiveness, the Natural Program-based deductive reasoning process has limitations, particularly in handling contextual ambiguities. One key failure case involves the term "pennies," ...