FIELD NOTES TOPIC
outcome-based reinforcement learning
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From Proprietary to Open-Source: Bridging the Distribution Gap via Multi-Agent Protocol Distillation in Agentic Search
Researchers have proposed a new method called Multi-Agent Protocol Distillation (MAPD) to improve the performance of large language models in solving knowledge-intensive tasks. This method addresses the challenge of…
