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Energy-Aware LLM Inference
ATEST / RATTS: Adaptive Resource-Aware Test-Time Scaling for LLM Inference (arXiv:2610.25519)
ATEST (RATTS) makes self-consistency resource-aware. The same four-sample self-consistency query can use 4.1× more energy when the GPU is busy. ATEST-Online answers every query within budget. arXiv:2610.25519.
Mobina Kashaniyan
Posted Oct 18, 2026
Large Language Models
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High-Performance Computing
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Energy Efficiency
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Test-Time Scaling
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Research Summary