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From Signals to Structure: How Memory Architecture Drives Language Emergence in LLM Agents

arXiv cs.AI · 2d ago Cached

This paper studies how memory architecture affects language emergence in LLM agents playing a Lewis signaling game, finding that persistent private notebook memory outperforms stateless agents and prevents high-capacity collapse.

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