Hy-Memory-30B-A3B: Attributed Reinforcement Learning for Long-Term Memory Writing

Paper recorded by Signals 4 on 2026-10-15 in cs.CL. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-15 on arXiv · recorded by Signals 4 on 2026-10-16

Category: cs.CL · 自然语言处理 · first seen 2026-10-16

Abstract

External-memory systems extend language-model applications beyond a context window, but their quality depends critically on the model executing the write path: deciding what to retain, how precisely to represent it, and how new evidence should update persistent state. Existing frameworks typically place a general-purpose large language model behind framework-specific prompts. This raises serving c

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