---
title: "MILES: Modular Instruction Memory with Learnable Selection for Self-Improving LLM Reasoning — Stuff That Spins"
description: "arXiv:2607.06974v1 Announce Type: new Abstract: Large language models (LLMs) increasingly improve their reasoning at test time via additional computation, yet …"
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date: "2026-07-09T04:00:00+00:00"
modified: "2026-07-09T06:03:47.545674+00:00"
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# MILES: Modular Instruction Memory with Learnable Selection for Self-Improving LLM Reasoning

**Source:** Unknown  
**Published:** July 9, 2026  
**Original:** https://arxiv.org/abs/2607.06974  

## On this page

- [Overview](#overview)

<a id="overview"></a>

## Overview

arXiv:2607.06974v1 Announce Type: new Abstract: Large language models (LLMs) increasingly improve their reasoning at test time via additional computation, yet most existing works treat each problem in isolation. When problems arrive sequentially, accumulating reusable experience across them can further improve performance. Existing memory-based methods either store whole-solution templates that generalize poorly to novel problems or use heuristic step-level selection that is not optimized for fi

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