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DRIFTLENS: Measuring Memory-Induced Reasoning Drift in Personalized Language Models

The study introduces DRIFTLENS to measure how personalized memory injection in LLMs can alter the reasoning trajectories used to generate responses.

Impact
35/100
Current rank score
6.41
Source tier
Tier 1
Category
Research
Read the full story at arxiv.org

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