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Updated: Jan 16, 2026

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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一个由大脑启发的代理架构,以改善LLMs的规划

Taylor Webb1,2, Shanka Subhra Mondal3,4, Ida Momennejad5

  • 1Université de Montréal, Montreal, QC, Canada. taylor.w.webb@gmail.com.

Nature communications
|October 1, 2025
PubMed
概括

大型语言模型 (LLM) 在规划方面遇到了困难. 一个新的模块化代理计划器 (MAP) 架构,灵感来自大脑,改善了多步推理和目标导向规划在LLMs.

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Children master language quickly and with relative ease, supported by both biological predisposition and reinforcement. B. F. Skinner (1957) proposed that language is learned through reinforcement, while Noam Chomsky (1965) argued that language acquisition mechanisms are biologically determined.
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Language is a unique communication system that uses words and systematic rules to organize and transmit information. Unlike other forms of communication, which may involve postures, movements, odors, or vocalizations, language relies on symbols and grammar. This makes human communication distinct from that of other species, who also communicate but do not use language in the same way humans do.
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