New Study Reveals Why LLMs Overuse External Tools When They Should Rely on Internal Knowledge
Researchers have identified a pervasive phenomenon called 'tool overuse' in large language models, where they unnecessarily rely on external tools instead of internal knowledge. The study explores the underlying mechanisms behind this behavior, highlighting a 'knowledge epistemic illusion' where models misjudge their own capabilities.