DRIFTLENS quantifies memory-induced reasoning drift in personalized LLMs, finding medium-to-large effects across four models and ten user attributes that post-training only partly reduces.
and Tao, Ailin and Wong, Derek F
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DRIFTLENS: Measuring Memory-Induced Reasoning Drift in Personalized Language Models
DRIFTLENS quantifies memory-induced reasoning drift in personalized LLMs, finding medium-to-large effects across four models and ten user attributes that post-training only partly reduces.