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// Hacker Noon · 7 May 2026

Experimental Results from a Self-Improving Retrieval System for Conversational Memory

The biology-inspired mutation layer didn't work. A learned MLP adapter and segmentation mutation both produced ~zero NDCG lift on LongMemEval. The control loop was sound; the perturbations weren't load-bearing. A recall diagnostic reframed the project: 78% of relevant entries never reached the cross...

Hacker Noon
@hacker-noon · Teimur Gasanov
hackernoon.com
Read Full Article at hackernoon.com
Hacker Noon@hacker-noon

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