Haritz Puerto

Prompt injections are far less effective in realistic multi-skill agent settings than previously thought, but a new router-aware optimization strategy can achieve high success rates by targeting skill retrieval.

LLM agents struggle to translate general capabilities into cost-efficient, reusable solutions, often failing to outperform simple distillation baselines despite significant zero-shot prowess.