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University of Otago
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JFM achieves competitive accuracy and reliable confidence scores without the need for post-hoc calibration, transforming how we approach joint classification and generation tasks.
Semantic-ID tokenizers, a promising approach for generative recommendation, can inflate Hit@K metrics by over 100% due to collisions where multiple items map to the same token sequence.