#artificial intelligence
May 2025
Learning Composable Chains-of-Thought
It is found that simply training models on CoT data of atomic tasks leads to limited generalization, but minimally modifying CoT formats of constituent atomic tasks to be composable can lead to improvements.
Fangcong Yin, Zeyu Liu, Liu Leqi et al.
· arXiv.org · 1 citation