Search papers, labs, and topics across Lattice.
Affiliation:
3
0
6
Shifting industrial process monitoring from brittle bespoke models to a pre-trained foundation model cuts soft-sensing error by up to 14.6% while guaranteeing calibrated uncertainty across seven years of operational drift.
Achieving a 91.1% OCR exact-match rate, this method outperforms larger models while dramatically enhancing the detection of rare traffic signs.
Autoregressive generative models, previously unsuitable for real-time target speaker extraction, can now achieve offline-level performance in streaming scenarios thanks to a novel chunk-wise splicing technique.
