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Domain adaptation can backfire, eroding performance in specialized models while boosting smaller backbones in specific contexts.
Multi-agent RL can boost LLM accuracy, but the benefits hinge on the intricate balance of workflow, task, and model scale rather than just policy-sharing strategies.