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#model-agnostic News & Analysis

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

2 articles
AIBullisharXiv – CS AI · Mar 46/102
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OrchMAS: Orchestrated Reasoning with Multi Collaborative Heterogeneous Scientific Expert Structured Agents

Researchers have developed OrchMAS, a new multi-agent AI framework that uses specialized expert agents and dynamic orchestration to improve reasoning in scientific domains. The system addresses limitations of existing multi-agent frameworks by enabling flexible role allocation, prompt refinement, and heterogeneous model integration for complex scientific tasks.

AINeutralarXiv – CS AI · Apr 106/10
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CAFP: A Post-Processing Framework for Group Fairness via Counterfactual Model Averaging

Researchers introduce CAFP, a post-processing framework that mitigates algorithmic bias by averaging predictions across factual and counterfactual versions of inputs where sensitive attributes are flipped. The model-agnostic approach eliminates the need for retraining or architectural modifications, making fairness interventions practical for deployed systems in high-stakes domains like credit scoring and criminal justice.

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