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arXiv6h ago
4.8

Response-Aware User Memory Selection for LLM Personalization

Jillian Fisher, Jennifer Neville, Chan Young Park

View original ↗

Analysis

Viral velocity
low
Implementation gapYES
Novelty7/10
Categorypaper
Topics
raginference

Opportunity Brief

Implement a memory selection engine that retrieves context based on response-utility (how it changes the model output) rather than raw semantic similarity.

Suggested repo: rums-rag

"Stop retrieving based on similarity; start retrieving based on what changes the output."

Estimated effort: 40h