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Context language models edit context files and outperform management baselines

arxiv.org 3 min read Editor score 9/10

The method treats context as an editable file; zero-shot CLMs report 11.4% higher accuracy with 21.5% fewer FLOPs on BrowseComp-Plus, with gains on two long-horizon benchmarks. This offers evidence for an alternative to hand-designed context management in agents.

What

Context Language Models (CLMs) manage their own context by treating it as a file the model can update.

Method

The paper reports CLMs outperforming context-management baselines and describes natural-language steering and online reinforcement learning.

Why it matters

Moving context management into model behavior can reduce reliance on external harness control and let models learn context-management strategies.

Read on arxiv.org → Hacker News · 29 comments

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