SOLAR is a learning-augmented policy for semantic cache replacement that achieves constant competitive ratio 3 and 5-75% gains over FIFO on retrieval workloads.
O’Brien, Carrie J
5 Pith papers cite this work. Polarity classification is still indexing.
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A survey of 457 papers yields a six-dimensional design space for abstraction in interactive systems that reframes gulfs of execution and evaluation while articulating cognitive and design processes for bridging abstraction gaps.
TastePrint achieves repeatable layer-wise spatial taste distribution in 3D printed food by airbrushing liquid seasonings with a multi-nozzle mechanism guided by a user-specified GUI.
IFPV integrates multi-perspective hierarchical agents for generative planning with an adversarial cognitive simulation engine for verification, reporting 19.4% higher mission success, 41.7% lower cost versus LLM baseline, and 31.8% higher suppression versus rule-based validation in combat simulation
AgentDynEx introduces nudging and a Configuration Matrix to help set up and maintain balanced mechanics and dynamics in multi-agent LLM simulations.
citing papers explorer
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When Classic Cache Policies Fail: Learning-Augmented Replacement for Semantic Retrieval Buffers
SOLAR is a learning-augmented policy for semantic cache replacement that achieves constant competitive ratio 3 and 5-75% gains over FIFO on retrieval workloads.
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Making Abstraction Concrete: A Design Space and Interaction Model of Abstraction in Interactive Systems
A survey of 457 papers yields a six-dimensional design space for abstraction in interactive systems that reframes gulfs of execution and evaluation while articulating cognitive and design processes for bridging abstraction gaps.
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TastePrint: A 3D Food Printing System for Layer-wise Taste Distribution via Airbrushed Liquid Seasoning
TastePrint achieves repeatable layer-wise spatial taste distribution in 3D printed food by airbrushing liquid seasonings with a multi-nozzle mechanism guided by a user-specified GUI.
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IFPV: An Integrated Multi-Agent Framework for Generative Operational Planning and High-Fidelity Plan Verification
IFPV integrates multi-perspective hierarchical agents for generative planning with an adversarial cognitive simulation engine for verification, reporting 19.4% higher mission success, 41.7% lower cost versus LLM baseline, and 31.8% higher suppression versus rule-based validation in combat simulation
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AgentDynEx: Nudging the Mechanics and Dynamics of Multi-Agent Simulations
AgentDynEx introduces nudging and a Configuration Matrix to help set up and maintain balanced mechanics and dynamics in multi-agent LLM simulations.