A design framework for multi-agent LLMs combining prompting, memory, multimodal input, and fine-tuning, with promised ablations on social-dilemma games that are absent from the supplied text.
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Grounding Natural Language for Multi-agent Decision-Making with Multi-agentic LLMs
A design framework for multi-agent LLMs combining prompting, memory, multimodal input, and fine-tuning, with promised ablations on social-dilemma games that are absent from the supplied text.