Unverified50% confidenceFactExact time
Models are highly sensitive to instruction signals inside the chain of thought, while their ability to translate external user prompts is limited.
1
Sources
50%
Confidence
Long-term
Relevance
10/19/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedThe study proposes that low controllability under user prompts may stem from the constraints being specified in a manner that is too simple and direct, rather than from a lack of control capability in the models.78% similarUnverifiedThe fundamental defense against prompt injection lies in narrowing permissions at the architectural level rather than relying on the model's comprehension, because models cannot reliably distinguish instruction boundaries; what truly prevents unauthorized operations is server-side rejection.76% similarUnverifiedFull-duplex models are highly sensitive to how instructions are presented, with noticeable performance degradation when behavior must be inferred from a persona rather than explicitly stated75% similarUnverifiedEven when the prompt explicitly states not to send private information, the model may still produce behavior inconsistent with expectations in complex or ambiguous scenarios.74% similarUnverifiedIndirect prompt injection is more dangerous than direct injection because agents often cannot distinguish between content to be processed and instructions to be followed.73% similar
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