In the mean time, we propose a method presented in `Benchmarking LLMs via Uncertainty Quantification <https://arxiv.org/abs/2401.12794>`_, which reduces a commonsense reasoning task (CosmosQA dataset) to a classification problem, enabling the use of conformal predictions. The idea is to extract only the logits corresponding to the possible answers, and use a softmax so that the LLM can be used as a simple classifier.