【第183期】慢思考滚雪球错误如何利用
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今天的主题是：
Rethinking External Slow-Thinking: From Snowball Errors to Probability of Correct Reasoning
Summary
This paper examines "slow-thinking" in large language models (LLMs), where increased computation time enhances reasoning. It theoretically analyzes how errors accumulate during LLM reasoning, termed "snowball errors," linking them to the decreasing probability of correct reasoning through information theory. The research proposes that external slow-thinking methods, which involve expanding…
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