XplainLLM: A Knowledge-Augmented Dataset for Reliable Grounded Explanations in LLMs

Language models are few-shot learners

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Explanations for commonsenseqa: New dataset and models

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Language models can explain neurons in language models

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Ranking llm-generated loop invariants for program verification

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Teaching large language models to self-debug

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Xinyun Chen, Maxwell Lin, Nathanael Schärli, and Denny Zhou. 2023 · 2023

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Can large language models explain themselves? a study of llm-generated self-explanations

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Shiyuan Huang, Siddarth Mamidanna, Shreedhar Jangam, Yilun Zhou, and Leilani H Gilpin. 2023 · 2023

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Trustworthy ai: From principles to practices

Bo Li, Peng Qi, Bo Liu, Shuai Di, Jingen Liu, Jiquan Pei, Jinfeng Yi, and Bowen Zhou. 2023 · 2023