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An Interpretable Memory Decision Controller for LLM Agents Based on Three-Signal Complementarity: Decoupling Confidence and Consistency

Paper recorded by Signals 4 on 2026-09-18 in cs.CL. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-18 on arXiv · recorded by Signals 4 on 2026-09-21

Category: cs.CL · 自然语言处理 · first seen 2026-09-21

Abstract

Memory systems for large language models have focused predominantly on efficient retrieval, whereas the decision of whether retrieved memories should be trusted has received comparatively little attention. When the memory store contains conflicting positions, standard retrieval-augmented generation (RAG) blindly injects memories and amplifies hallucinations: in models susceptible to memory injecti

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#2 most recent of 200 cs.CL papers we have recorded · ↑ newer: Cross-sector generalization of accident-process role classification in · ↓ older: QuranicMMLU: A Cognitively-Aware Benchmark for Evaluating Generative A
Cite this page: An Interpretable Memory Decision Controller for LLM Agents Based on Three-Signal Complementarity: Decoupling Confidence and Consistency: the #2 most recent of 200 cs.CL papers we have recorded (as of 2026-09-18). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/an-interpretable-memory-decision-controller-for-llm-agents-based-on-three-signal.html
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