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Calibration quality of VLMs varies dramatically, with some models exhibiting near-perfect confidence estimates while others are severely overconfident, impacting automation decisions in document processing.
Achieve state-of-the-art performance in multilayer thin-film design with a 5x smaller model and faster runtime by encoding continuous thickness directly into the positional embeddings of an autoregressive transformer.
