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Notes on reasoning drift
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DRIFTLENS: Measuring Memory-Induced Reasoning Drift in Personalized Language Models
Researchers introduce DRIFTLENS, a framework to measure changes in the reasoning process used by personalized language models due to user attributes, preferences, and prior context. The study shows that these…
DRIFTLENS: Measuring Memory-Induced Reasoning Drift in Personalized Language Models
Researchers developed a framework called DRIFTLENS to measure how personalized language models change their reasoning process based on user attributes, preferences, and prior context. The study found that…
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