Search papers, labs, and topics across Lattice.
University of Notre Dame
3
0
5
LLMs show significant variability in the actionability of their UX critiques, with some models outperforming others across different product categories.
By intelligently fusing heterogeneous guidance cues, HAFMat achieves unprecedented accuracy in estimating human materials from a single image.
Continuous-target modeling reveals a shared semantic mapping for ASR and S2TT, challenging conventional views on their error sources.
