AINeutralarXiv – CS AI · 14h ago6/10
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Anchorless Diversification for Parallel LLM Ideation
Researchers present methods for improving how large language models generate diverse pools of creative ideas during parallel inference without relying on seed examples. Their findings show that semantic direction stratification—organizing generations across different semantic directions with a single planning call—outperforms anchor-dependent baselines while maintaining quality and computational efficiency.