AIBullisharXiv – CS AI · 6h ago7/10
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Large Language Models Do Not Always Need Readable Language
Researchers demonstrate that large language models can effectively encode and decode semantic information using non-readable, compressed textual formats called BabelTele, achieving 99.5% semantic fidelity while reducing text volume to 27.9% of original length. This finding suggests that human readability and model comprehension can be decoupled, with implications for optimizing LLM efficiency in agent communication and memory systems.