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Fujitsu Research of Europe
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Planning failures in multilingual systems can be systematically diagnosed and mitigated, leading to significant performance gains in low-resource languages.
LLM vulnerability scanners can give you wildly different security scores depending on *who* is judging the attacks, not just the model's weaknesses.
Stateful defenses are not just better, but *necessary* to protect multimodal RAG agents from sophisticated attacks that bypass stateless filters.