Process In-Context Learning: Confusion-Aware Demonstration Retrieval and Dynamic Insertion for Mathematical Reasoning
In-context learning (ICL) has achieved strong results across a wide range of large language model (LLM) tasks. However, its effectiveness for problems that require step-by-step deduction, such as mathematical reasoning, is still not well understood. One major limitation of existing ICL methods is that demonstrations ar...
Ang Gao, Chang-Shuo Zhang, Xiao Zhang et al.
· Proceedings of the 35th ACM... · 0 citations