Research6h ago
LLMs Struggle to Judge Internal Knowledge Boundaries
A new study on arXiv reveals a "knowledge epistemic illusion" where LLMs trigger external tools despite possessing the required internal data. This pervasive tool-overuse stems from models misjudging their own knowledge boundaries. Researchers propose an alignment strategy to fix this mismatch, reducing unnecessary API calls and latency for agentic workflows.