claim
Large Language Models can succeed in tasks even when prompt semantics are weak or misleading, suggesting that surface cues and distributional patterns often dominate literal instruction understanding.
Authors
Sources
- A Survey on the Theory and Mechanism of Large Language Models arxiv.org via serper
Referenced by nodes (1)
- Large Language Models concept