DRF combines an LLM rating network, a reputation update rule, and a UCB-style selection strategy to filter low-quality LLM agents during multi-agent task execution, reporting improved pass@1 and lower simulated cost on HumanEval and BigBench.
In: Proceedings of the 24th annual conference on learning theory
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DRF: LLM-AGENT Dynamic Reputation Filtering Framework
DRF combines an LLM rating network, a reputation update rule, and a UCB-style selection strategy to filter low-quality LLM agents during multi-agent task execution, reporting improved pass@1 and lower simulated cost on HumanEval and BigBench.