FIELD NOTES TOPIC
personalization
2 notes, newest first.
AutoViewMem: Self-Configuring Orthogonal Views for Conversational Long-Term Memory
AutoViewMem discovers low-overlap semantic views from interaction traces, uses a compact complementary view set for structured write-time extraction, and grounds memories in provenance. It moves semantic…
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…
