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Can LLMs Anticipate Their Cruxes?

To use language models to help us make decisions we would like to understand the rationale behind the language model's outputs. In principle, the language model provides its rationale as part of its text output. However, the sheer volume of text makes this hard to use in practice.

By David Reber, James Reber, Ari Holtzman, Victor VeitcharXiv - cs.CL (NLP)

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Originally published by arXiv - cs.CL (NLP) on Oct 16, 2026.

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