Semantic Cooperative Games for Contribution Attribution in LLM-Based Multi-Agent Systems
A new framework called Semantic Cooperative Games (SCG) is proposed for contribution attribution in LLM-based multi-agent systems. SCG represents a language flow as a semantic generation hypergraph and computes an agent-level semantic value function. It introduces a new method called SLIC to allocate contributions without rerunning agent subsets, reducing computation cost by 93.3%.
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