Language Models Don't Always Say What They Think: Unfaithful Explanations in Chain-of-Thought | Cohere | Research | TechiSeek

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Language Models Don't Always Say What They Think: Unfaithful Explanations in Chain-of-Thought

Large Language Models (LLMs) can achieve strong performance on many tasks by producing step-by-step reasoning before giving a final output, often referred to as chain-of-thought reasoning (CoT).

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