SLM prototype Cognitive Agent with QKV-style retrieval over a natural-language Knowledge Base

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Evidence · 6 claims (6 for) · 1 study (1 design), q1 · 0 of 1 report an effect size · 6 claims rest on one study

Description

A research prototype developed by Hyeongdon Moon et al. that uses a small language model, retrieval over a structured natural-language knowledge base, and a teacher language model to support multi-step problem solving.

Components

Claims

• Model size defines a core trade-off: too-large SLMs answer without the cognitive structure while too-small SLMs break instruction-following coherence [+W]
• An SLM executor under tight constraints can drive a Cognitive Agent through formatted outputs and logit-based action selection, yielding partial rather than full explainability [+W]
• The CAC proof of concept compiled 27 biology problems successfully, accumulating 188 Declarative Memory entries, but failed on the 28th problem [+W]
• Similarity-based retrieval degrades as the Knowledge Base grows, consistent with the fan effect, stalling the agent [+W]
• A 4-bit quantized 27B local Teacher LLM generated knowledge in the required format, suggesting accessible-resource implementations may be feasible [+W]
• Instances occurred where the Teacher LLM directly provided the final answer, bypassing the intended cognitive process, and can be programmatically filtered [+W]

Related Products and Programmes

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Key Sources

• Hyeongdon Moon, Carolyn Rosé, and John Stamper. (2026). Cognitive Agent Compilation for Explicit Problem Solver Modeling. https://arxiv.org/abs/2605.07040

Page metadata

Field	Value
type	product
id	slm-prototype-cognitive-agent-with-qkv-style-retrieval-over-a-natural-language-knowledge-b
title	SLM prototype Cognitive Agent with QKV-style retrieval over a natural-language Knowledge Base
description	A research prototype developed by Hyeongdon Moon et al.
status	review
product_kind	software
generated	by process:settle-candidates on 2026-10-11
trust	unverified — no one has confirmed this page's content

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