Year: 2026
Type: article
Abstract: This work looks at whether chain-of-thought prompting actually helps language models think through multi-step logic problems, or if it just makes their mistakes look more convincing. The key takeaway is that while walking through the reasoning step-by-step does improve accuracy, the models are still prone to subtle logic slips and the explanations they generate do not always reflect how they really got to the answer.
Author: Nemykin, N. B.
Language: English
Topic: Topic Modeling
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7203562669