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Department of Physics and Astronomy, University of Tennessee, Knoxville, Tennessee 37996, USA
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Fine-tuning with just 30% of high-fidelity data can achieve quantum-chemical accuracy while slashing computational costs by 60%.
LLMs exhibit significant regional performance disparities, revealing critical gaps in their pretraining that could hinder their application in culturally diverse contexts.
Achieving state-of-the-art stereo conversion, {\alpha}Depth eliminates background bleeding and structural distortions at soft boundaries, redefining how we approach complex scenes.
Forget symmetrical fusion: GS-Fuse selectively incorporates event text into financial forecasting only when it demonstrably improves predictions beyond what historical prices alone can achieve.
