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Post Hoc Explanations of Language Models Can Improve Language Models

2023-06-05

Abstract excerpt

<title>Abstract</title> <p>Large Language Models (LLMs) have demonstrated remarkable capabilities in performing complex tasks. Moreover, recent research has shown that incorporating human-annotated rationales (e.g., Chain-of-Thought prompting) during in-context learning can significantly enhance the performance of these models, particularly on tasks that require reasoning capabilities. However, incorporating such...

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Literature Corpus work
88e662db-4367-5c4e-aaff-76a8901f7f70
DOI
10.21203/rs.3.rs-3006112/v1
Open publication

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Post Hoc Explanations of Language Models Can Improve Language ModelsDOI 10.21203/rs.3.rs-3006112/v1
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