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Large language models (LLMs) can explain their predictions through post-hoc or Chain-of-Thought (CoT) explanations.
Harvey Friedman’s research on the foundations of mathematics
Leo A Harrington, Michael D Morley, A Šcedrov, and Stephen G Simpson. 1985 · 1985
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Sarthak Jain and Byron C. Wallace. 2019 · 2019
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SemEval-2020 task 4: Commonsense validation and explanation
Cunxiang Wang, Shuailong Liang, Yili Jin, Yilong Wang, Xiaodan Zhu, and Yue Zhang. 2020 · 2020
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Evaluating large language models trained on code
Mark Chen, Jerry Tworek, Heewoo Jun, Qiming Yuan, Henrique Ponde de Oliveira Pinto, Jared Kaplan, Harri Edwards, Yuri Burda, Nicholas Joseph, Greg Brockman, et al. 2021 · 2021
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Measuring association between labels and free-text rationales
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Selection-inference: Exploiting large language models for interpretable logical reasoning
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Galactica: A large language model for science
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