#self-improving-systems News & Analysis

2 articles tagged with #self-improving-systems. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles

AIBullisharXiv – CS AI · Jun 97/10

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AgentTrust: A Self-Improving Trust Layer for AI-Agent Actions

AgentTrust v2 introduces a self-improving trust layer for AI agents that distinguishes between lexical (rule-detectable) and semantic (intent-dependent) threats. Using an LLM judge combined with a dual-store system, it achieves 83.6-85.2% accuracy on semantic threats while progressively distilling deterministic rules for lexical threats, demonstrating zero false-blocks across 45,000 test actions.

AIBullisharXiv – CS AI · Jun 16/10

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Learning to Adapt: Self-Improving Web Agent via Cognitive-Aware Exploration

Researchers introduce SCALE, a self-improving web agent framework that uses adversarial roles and cognitive-aware exploration to autonomously adapt to complex web environments without relying on handcrafted pipelines or expensive expert data. The framework includes SCALE-Hop, a graph exploration strategy, and SCALE-20k, a 20,000-sample dataset from 19 real-world websites that demonstrates improved performance across multiple multimodal large language models.