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Communication between Frozen Large Language Models via Prompt Optimization in a Referential Game
We study communication between two frozen large language models from different providers, with different tokenizers, accessed through their API endpoints. The two play a referential game: one sees an object and describes it in a short fixed-length message over a small alphabet; the other must pick t
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