#context-efficiency News & Analysis

2 articles tagged with #context-efficiency. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles

AIBullisharXiv – CS AI · May 97/10

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From History to State: Constant-Context Skill Learning for LLM Agents

Researchers propose constant-context skill learning, a framework enabling LLM agents to learn reusable task procedures as lightweight modules rather than storing long prompts in memory. The approach reduces token usage per inference by 2-7x while maintaining or improving performance across multiple benchmark environments, addressing the privacy-capability tradeoff in agent deployment.

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AINeutralarXiv – CS AI · Apr 206/10

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Experience Compression Spectrum: Unifying Memory, Skills, and Rules in LLM Agents

Researchers propose the Experience Compression Spectrum, a unifying framework that reconciles two separate research communities studying LLM agent memory and skill discovery by positioning them along a single compression axis. The framework identifies a critical gap—no existing system supports adaptive cross-level compression—and reveals that memory systems and skill discovery communities operate in isolation despite solving overlapping problems.