Deciphering language processing in the human brain through LLM representations
How does the human brain process natural language during everyday conversations? Theoretically, large language models (LLMs) and symbolic psycholinguistic models of human language provide a fundamentally different computational framework for coding natural language. Large language models do not depend on symbolic parts of speech or syntactic rules. Instead, they utilize simple self-supervised objectives, such as next-word prediction and generation enhanced by reinforcement learning. This allows ...
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