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cs.LG2026
When Is Coarse Supervision Worth It? Cost-Aware Learning under Unknown Aggregation
Jianyu Xu, Smriti Jha, Aarti Singh +1
Modern learning systems often acquire supervision at multiple resolutions, trading annotation cost against information content. We study cost-aware two-resolution learning, where e…
cs.LG2026
Feynman: Knowledge-Infused Diagramming Agent for Scalable Visual Designs
Zixin Wen, Yifu Cai, Kyle Lee +5
Visual design is an essential application of state-of-the-art multi-modal AI systems. Improving these systems requires high-quality vision-language data at scale. Despite the abund…
cs.LG2025
Online Decision Making with Generative Action Sets
Jianyu Xu, Vidhi Jain, Bryan Wilder +1
With advances in generative AI, decision-making agents can now dynamically create new actions during online learning, but action generation typically incurs costs that must be bala…