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LLMs can be made more reliable and efficient by adaptively focusing uncertainty quantification on relevant semantic themes, cutting inference time by 60% while improving factuality correlation.
Unleashing chain-of-thought reasoning on free-form question answering tasks is now possible without manual prompts, thanks to a new decoding strategy that automatically generates and evaluates reasoning paths.
