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Introducing IH-Challenge, a training dataset that strengthens instruction hierarchy, safety steerability, and prompt injection robustness.

AI systems often receive instructions from multiple sources. These can include safety policies from system messages, product guidance from developers, requests from users, and information found online. Training models to reliably prioritize the most trusted instructions among these sources is a key part of safe deployment.

Many AI safety and reliability issues can arise when this prioritization breaks down. Models may receive requests for disallowed content, attempts to reveal private information, or prompt‑injection attacks embedded in online data.…

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