CACFM applies RL to adaptively select critical regions in probability flow ODE trajectories for consistency distillation, yielding SOTA few-step results on FLUX and SDXL.
A data-centric perspective on the lifecycle of large language models
2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2verdicts
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Introduces Efficiency Frontier framework for deployment-aware cost-performance optimization of LLM context strategies, reporting ~25% token reduction at F1≈0.78 on 5,000 HotpotQA instances.
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Curvature-Adaptive Consistency Flow Matching: Autonomous Trajectory Optimization via Reinforcement Learning
CACFM applies RL to adaptively select critical regions in probability flow ODE trajectories for consistency distillation, yielding SOTA few-step results on FLUX and SDXL.
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The Efficiency Frontier: A Unified Framework for Cost-Performance Optimization in LLM Context Management
Introduces Efficiency Frontier framework for deployment-aware cost-performance optimization of LLM context strategies, reporting ~25% token reduction at F1≈0.78 on 5,000 HotpotQA instances.