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#semantic-drift News & Analysis

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

2 articles
AINeutralarXiv – CS AI · Jun 196/10
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Trustworthy Multi-Agent Systems: Mitigating Semantic Drift with the Argent Signaling Protocol

Researchers introduce the Argent Signaling Protocol (ASP), a structured metadata framework that helps multi-agent AI systems distinguish between repairable failures and unrecoverable errors by tagging responses with quality signals including certainty, grounding, and stochasticity. Testing across multiple language models shows significant improvements in accuracy and error containment, with particular success in blocking ungrounded information from propagating through agent pipelines.

AINeutralarXiv – CS AI · May 296/10
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Learning to Choose: An Empowerment-Guided Multi-Agent System with semantic communication for Adaptive Method Selection

Researchers introduce a multi-agent framework that combines contextual bandits with semantic checkpoints to prevent 'semantic drift' in automated scientific computing workflows. The system ensures that computational strategies selected by AI agents are faithfully executed and remain causally attributable throughout multi-agent pipelines, improving convergence and robustness in adaptive decision-making.