#token-efficiency2 articles

2 articles

AIBullisharXiv – CS AI · 4h ago2

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MemPO: Self-Memory Policy Optimization for Long-Horizon Agents

Researchers propose MemPO (Self-Memory Policy Optimization), a new algorithm that enables AI agents to autonomously manage their memory during long-horizon tasks. The method achieves significant performance improvements with 25.98% F1 score gains over base models while reducing token usage by 67.58%.

AIBullisharXiv – CS AI · 4h ago1

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Semantic XPath: Structured Agentic Memory Access for Conversational AI

Researchers have developed Semantic XPath, a tree-structured memory system for conversational AI that improves performance by 176.7% over traditional methods while using only 9.1% of the tokens. The system addresses scalability issues in long-term AI conversations by efficiently accessing and updating structured memory instead of appending growing conversation history.