A mixed stable matching-with-contracts algorithm for AI-RAN operators raises their total utility by at least 56.8% versus benchmarks by jointly optimizing contract menus and user matching in a teleoperation AIGC setting.
AI-RAN: Transforming RAN with AI-driven computing infrastructure
3 Pith papers cite this work. Polarity classification is still indexing.
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2026 3verdicts
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HierVA improves multi-step chart question answering by having a high-level manager maintain key joint contexts while specialized workers perform targeted reasoning with visual zoom-in.
Techno-economic framework shows that GPU AI-RAN deployments can offset extra costs via AI revenue for up to 8x ROI across scenarios with varying token depreciation, demand, and GPU densities.
citing papers explorer
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Matching-with-Contracts for the AI-RAN Market: AIGC-as-a-Service for Teleoperation
A mixed stable matching-with-contracts algorithm for AI-RAN operators raises their total utility by at least 56.8% versus benchmarks by jointly optimizing contract menus and user matching in a teleoperation AIGC setting.
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Hierarchical Visual Agent: Managing Contexts in Joint Image-Text Space for Advanced Chart Reasoning
HierVA improves multi-step chart question answering by having a high-level manager maintain key joint contexts while specialized workers perform targeted reasoning with visual zoom-in.
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A Techno-Economic Framework for Cost Modeling and Revenue Opportunities in Open and Programmable AI-RAN
Techno-economic framework shows that GPU AI-RAN deployments can offset extra costs via AI revenue for up to 8x ROI across scenarios with varying token depreciation, demand, and GPU densities.