arXiv:2507.05448cs.CL
On the Semantics of Large Language Models
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Abstract
Large Language Models (LLMs) such as ChatGPT demonstrated the potential to replicate human language abilities through technology, ranging from text generation to engaging in conversations. However, it remains controversial to what extent these systems truly understand language. We examine this issue by narrowing the question down to the semantics of LLMs at the word and sentence level. By examining the inner workings of LLMs and their generated representation of language and by drawing on classical semantic theories by Frege and Russell, we get a more nuanced picture of the potential semantic capabilities of LLMs.
You cannot be serious if you expect people to mind read through your typos and make sense of them. Is this supposed to be a performative art piece to demonstrate your point? If you actually care about expressing your point to another person, then you should show some attention…
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