The Illusion of Robustness: Aggregate Accuracy Hides Prediction Flips under Task-Irrelevant Context

By Yanzhe Zhang · Paper · cs.CL

As large language models (LLMs) grow more capable, they are increasingly deployed in context-rich settings where task inputs are often accompanied by long, partially irrelevant context. In a controlled setting, we find that state-of-the-art models often appear robust to task-irre

Frontier · Cs.cl

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