Tianming Liu

CoverPruner reveals that optimizing for representational coverage can significantly enhance the accuracy of pruned vision-language models, especially when faced with aggressive compression.

Quantum machine learning enhances Q-matrix estimation by providing greater stability and robustness, even when classical methods achieve higher average accuracy.

ASTELD uncovers a critical gap in the autonomous AI landscape: no evaluated systems achieve both local-first deployment and enterprise-grade security.