Zhao et al. (2025a) argued that the efficacy of Chain-of-Thought (CoT) reasoning is inherently fragile because it relies heavily on the consistency between training reasoning paths and test-time queries, suggesting that models may be performing advanced pattern matching rather than deep logical deduction.

Authors

• Person: Not available Organization: arXiv
  A Survey on the Theory and Mechanism of Large Language Models

Sources

• A Survey on the Theory and Mechanism of Large Language Models arxiv.org arXiv via serper

Referenced by nodes (1)

• chain-of-thought concept