A paper titled "Verbalized Sampling: How to Mitigate Mode Collapse and Unlock LLM Diversity" was accepted to ICML this year. The paper proposes a prompt-engineering technique—changing how prompts are phrased—to increase the diversity of outputs from language models.
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