#parametric-memory News & Analysis

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

3 articles

AIBullisharXiv – CS AI · 15h ago7/10

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ICICLE: Expanding Retrieval with In-Context Documents

Researchers introduce ICICLE, a generative retrieval framework that addresses the inefficiency of traditional corpus expansion by treating new documents as in-context evidence rather than requiring model retraining. The approach uses a copy-based routing mechanism to distinguish between parametric memory and context-provided document associations, achieving better scalability without catastrophic forgetting.

AINeutralarXiv – CS AI · May 97/10

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Attractor Geometry of Transformer Memory: From Conflict Arbitration to Confident Hallucination

Researchers have identified a geometric framework explaining how language models fail through two distinct mechanisms: parametric memory conflicting with working memory, and hallucination from absent learned facts. Both failures produce confident outputs despite being mechanistically different, but hidden-state geometry and 'geometric margin' metrics can distinguish them more reliably than traditional entropy-based detection methods.

AIBullisharXiv – CS AI · Apr 76/10

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Memory Intelligence Agent

Researchers have developed Memory Intelligence Agent (MIA), a new AI framework that improves deep research agents through a Manager-Planner-Executor architecture with advanced memory systems. The framework enables continuous learning during inference and demonstrates superior performance across eleven benchmarks through enhanced cooperation between parametric and non-parametric memory systems.