AI RESEARCH
Beyond the Prompt in Large Language Models: Comprehension, In-Context Learning, and Chain-of-Thought
arXiv CS.LG
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ArXi:2603.10000v1 Announce Type: cross Large Language Models (LLMs) have nstrated remarkable proficiency across diverse tasks, exhibiting emergent properties such as semantic prompt comprehension, In-Context Learning (ICL), and Chain-of-Thought (CoT) reasoning. Despite their empirical success, the theoretical mechanisms driving these phenomena remain poorly understood.