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Jul 17, 2023 · We investigate hypotheses for how CoT reasoning may be unfaithful, by examining how the model predictions change when we intervene on the CoT.
Jul 17, 2023 · In short, we find that, while chain of thought reasoning is not always faithful, it is possible to find conditions where it is more faithful. ...
Nov 12, 2024 · In this paper, we perform a causal me- diation analysis on twelve LLMs to examine how intermediate reasoning steps generated by the LLM ...
Learn how faithful Chain of Thought prompting enhances transparency and accuracy by ensuring LLMs actually follow the reasoning steps they generate.
Measuring Faithfulness in Chain-of-Thought Reasoning. from www.lesswrong.com
Jul 18, 2023 · We propose metrics for evaluating how faithful chain-of-thought reasoning is to a language model's actual process for answering a question.
Sep 9, 2024 · We investigate hypotheses for how CoT reasoning may be unfaithful, by examining how the model predictions change when we intervene on the CoT.
Figure 1: An example of our proposed causal analysis to measure the faithfulness of the final output to the CoT generated by the model. We perturbed CoT ...
People also ask
In standard CoT, faithfulness is not guaranteed and even systematically violated. (Turpin et al., 2023), as the final answer does not necessarily follow from ...
Jul 22, 2023 · Do LLMs really "show their work" when they perform chain of thought reasoning? "Measuring Faithfulness in Chain-of-Thought Reasoning" is a ...