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Wei et al. Reply
Wei et al. Reply
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LLMs simulate planning via language-driven search, not true understanding
This article explores the concept of "planning" in Large Language Models (LLMs), distinguishing between traditional symbolic planning and LLM's language-driven heuristic search. It details the evolution of reasoning fra…
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Chain of Thought prompting is now built-in to LLMs, reducing need for explicit instructions
Chain of Thought (CoT) prompting, which involves instructing models to "think step by step," was highly effective for complex reasoning tasks by allowing intermediate steps to be tokenized. However, newer models from la…