ACIL: Auto Chain of Thoughts for In-Context Learning

In three linesAuto-CoT improves in-context learning (ICL) by automatically generating reasoning chains for demonstrations. The framework augments prompts with structured intermediate explanations and selects high-quality examples, guiding models toward more reliable reasoning on multi-step tasks.

Summary generated by Claude — human-verified