Thermal lattice fluctuations in Re6Se8Cl2 suppress solid-state high-harmonic yield via weakened per-configuration responses and ensemble phase dispersion, producing an abrupt yield increase below 50 K where vibrations freeze out.
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5 Pith papers cite this work. Polarity classification is still indexing.
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Two systems with fundamentally different particle interactions crystallize into the same complex structure through the same pathways because their effective interactions match.
StructGP discovers sparse DAG structures and latent pathways in Gaussian processes to improve calibrated forecasting on irregular clinical time series.
FoL++ achieves state-of-the-art visual place recognition performance with 40% faster inference by modeling reliable regions, using spatial alignment losses, and adaptively fusing global and local matches.
CAMO is an ensemble technique that dynamically improves minority class predictions in imbalanced language model evaluations and achieves the highest macro F1 scores on two domain-specific benchmarks.
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CAMO: A Class-Aware Minority-Optimized Ensemble for Robust Language Model Evaluation on Imbalanced Data
CAMO is an ensemble technique that dynamically improves minority class predictions in imbalanced language model evaluations and achieves the highest macro F1 scores on two domain-specific benchmarks.