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Dynamic layer routing can boost LLM accuracy by 5% without the need for weight updates or expensive search loops.
GROM achieves rapid, effective unlearning in seconds while maintaining model performance, outpacing traditional methods that struggle with computational efficiency and content recovery.
LLMs can be surprisingly steered by "spurious prompts" that are semantically unrelated to the task, sometimes even outperforming optimized task-aware prompts.
