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#memory-governance News & Analysis

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

2 articles
AIBullisharXiv – CS AI · Jun 97/10
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TAME: A Trustworthy Test-Time Evolution of Agent Memory with Systematic Benchmarking

Researchers introduce TAME, a trust-aware memory evolution framework that addresses the vulnerability of AI agents to safety misalignment during test-time learning. The system uses paired Executor and Evaluator components to selectively reinforce and reuse agent memories, demonstrating 14.6 percentage point accuracy improvements on mathematical benchmarks while maintaining trustworthiness.

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AIBearisharXiv – CS AI · Jun 47/10
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PersistBench: When Should Long-Term Memories Be Forgotten by LLMs?

Researchers introduced PersistBench, a benchmark measuring safety risks in large language models equipped with long-term memory capabilities. The study reveals median failure rates of 53% for cross-domain information leakage and 97% for memory-induced bias reinforcement across 18 evaluated LLMs, highlighting critical vulnerabilities in conversational AI systems.