Discover how repurposing obsolete AI models drives cost-effective research, sustainability, and new insights in AI development and environmental impact.
Explore how language models decide between acting or escalating tasks in automation, improving AI decision-making under uncertainty across key sectors.
Explore EMA's role and limits in sequence models, revealing the need for input-dependent selection to improve temporal structure encoding and reduce inform...
Discover how k-Maximum Inner Product attention enhances graph transformers with linear complexity and high expressiveness for large-scale graph learning.