The abstract claims that state-of-the-art LLMs fail to infer contextual preferences from multi-turn interactions (under 50% precision, 65% recall), but the body text is an unrelated adversarial-patch paper, leaving the claim unsupported.
Hysteresis activation function for efficient inference
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CUPID: Evaluating Personalized and Contextualized Alignment of LLMs from Interactions
The abstract claims that state-of-the-art LLMs fail to infer contextual preferences from multi-turn interactions (under 50% precision, 65% recall), but the body text is an unrelated adversarial-patch paper, leaving the claim unsupported.