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Context Language Models
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arXiv AI
3d ago
Context Language Models
The paper introduces Context Language Models (CLMs), which treat context as a mutable file that the model can update freely, enabling the model to learn what information to retain. CLMs built zero‑shot from existing models outperform state‑of‑the‑art context‑management methods on several benchmarks, achieving higher accuracy with fewer FLOPs. The authors also demonstrate that CLMs can be steered via natural‑language instructions and online reinforcement learning, and they propose a suffix‑cache reuse strategy that further reduces server‑side compute.
arXiv Computation and Language
Sep 2
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arXiv AI
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arXiv AI
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arXiv AI
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ACON: Optimizing Context Compression for Long-horizon LLM Agents
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