2024
Leros: Learning Explicit Reasoning on Synthesized Data for Commonsense Question Answering
COLING 2024main
Recent work shows large language models can be prompted to generate useful rationales for commonsense question answering (CQA), which can improve the performance of both themselves and other models. However, the cost of deployment and further tuning is relatively expensive for the large models. Some…