Tag: causal machine learning
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Why Random Sampling Beats Active Selection in Modern LLMs
Discover why random sampling outperforms active selection in online DPO for modern LLMs, highlighting efficiency and performance insights.
MOMO: Advanced Mars Orbital Model for Remote Sensing
Discover MOMO, a multi-sensor foundation model enhancing Mars remote sensing with improved accuracy and integration of HiRISE, CTX, and THEMIS data.
Efficient3D: Adaptive Token Reduction for 3D MLLMs
Discover Efficient3D, a framework that boosts 3D MLLMs efficiency with adaptive, debiased token reduction, improving inference speed and accuracy.
Efficient Low-Rank Compression of AI Models Using RSI
Discover how randomized subspace iteration (RSI) improves low-rank compression of pretrained AI models for better accuracy and efficiency.
Analytic Drift Resister for Improved Continual Graph Learning
Discover how Analytic Drift Resister enhances Non-Exemplar Continual Graph Learning by preventing feature drift and boosting model adaptability.