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This work uncovers short context additions that redirect 61.4%-73.2% of each decision system's initially correct decisions toward a wrong option fixed in advance, exposing a weakness in current decision models.
In high-risk industrial settings, leveraging large language models (LLMs) for automated accident analysis and generating safety reports has emerged as an efficient workflow. However, this approach is fundamentally constrained by the models’ inherent knowledge limitations, frequently resulting in analyses that lack do...
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