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Peter Schwendeman

2 accepted papers

2026

Learning to Orchestrate Agents in Natural Language with the Conductor

ICLR 2026poster

Powerful large language models (LLMs) from different providers have been expensively trained and finetuned to specialize across varying domains. In this work, we introduce a new kind of Conductor model trained with reinforcement learning to automatically discover powerful coordination strategies amo…

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