2025
Internal Chain-of-Thought: Empirical Evidence for Layer‐wise Subtask Scheduling in LLMs
EMNLP 2025
We show that large language models (LLMs) exhibit an internal chain-of-thought : they sequentially decompose and execute composite tasks layer-by-layer. Two claims ground our study: (i) distinct subtasks are learned at different network depths, and (ii) these subtasks are executed sequentially acros