WattLayer is a layer-wise energy estimation model achieving 19.6% median error on over 100k layers from 295 architectures across 3 tasks and 3 platforms, with generalization to new tasks via shared layers.
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Pith papers citing it
years
2026 3verdicts
UNVERDICTED 3representative citing papers
A multi-target regression framework uses LLM-derived continuous sentiment profiles from narratives and dynamic functional connectivity from fMRI to track naturalistic emotional trajectories, outperforming static ROI measures.
A new evaluation framework shows that even the best tested LLM only reliably adjusts response complexity in the intended direction 46% of the time across 98 scientific queries.
citing papers explorer
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WattLayer: Get Layers Right to Estimate Inference Energy of Neural Networks
WattLayer is a layer-wise energy estimation model achieving 19.6% median error on over 100k layers from 295 architectures across 3 tasks and 3 platforms, with generalization to new tasks via shared layers.
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Decoding Naturalistic Emotion Dynamics from the Brain: An LLM-Enhanced Regression Framework
A multi-target regression framework uses LLM-derived continuous sentiment profiles from narratives and dynamic functional connectivity from fMRI to track naturalistic emotional trajectories, outperforming static ROI measures.
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Explain Like I'm 5 or Whatever I Choose: Evaluating the Interactive Potential of Language Model Responses
A new evaluation framework shows that even the best tested LLM only reliably adjusts response complexity in the intended direction 46% of the time across 98 scientific queries.