Optimizing LLMs for parametric CoT faithfulness improves both paradigms consistently while contextual optimization yields more variable gains, and different contextual metrics do not transfer reliably to each other.
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Investigating the Interplay between Contextual and Parametric Chain-of-Thought Faithfulness under Optimization
Optimizing LLMs for parametric CoT faithfulness improves both paradigms consistently while contextual optimization yields more variable gains, and different contextual metrics do not transfer reliably to each other.