← Wednesday, September 30, 2026AgentsPaper
Context Language Models manage context as an editable file
CLMs let models update a context file directly, reporting 11.4% higher accuracy with 21.5% fewer FLOPs on BrowseComp-Plus and gains on long-horizon benchmarks. The results make model-managed context a practical alternative to external harness strategies worth evaluating.
- What
- Context Language Models (CLMs) treat context as a file that the model can update without restriction.
- Method
- CLMs learn what to retain and outperform existing context-management strategies on several tasks, with higher scores and fewer FLOPs.
- Why it matters
- Moving context management into model behavior supports in-context and parametric learning of context-management strategies.
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