Stronger LLMs show near-perfect physical reasoning in circuits but violate explicit sign and polarity instructions in trap setups, while weaker models follow instructions better but reason less accurately.
Solving quantitative reasoning problems with language models
1 Pith paper cite this work. Polarity classification is still indexing.
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CircuChain: Disentangling Competence and Compliance in LLM Circuit Analysis
Stronger LLMs show near-perfect physical reasoning in circuits but violate explicit sign and polarity instructions in trap setups, while weaker models follow instructions better but reason less accurately.