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.
Trends in AI inference energy consumption: Beyond the performance-vs-parameter laws of deep learning , volume=
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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.
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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.