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cs.LG2024
Labels in Extremes: How Well Calibrated are Extreme Multi-label Classifiers?
Nasib Ullah, Erik Schultheis, Jinbin Zhang +1
Extreme multilabel classification (XMLC) problems occur in settings such as related product recommendation, large-scale document tagging, or ad prediction, and are characterized by…
cs.LG2024
Large Language Model as a Teacher for Zero-shot Tagging at Extreme Scales
Jinbin Zhang, Nasib Ullah, Rohit Babbar
Extreme Multi-label Text Classification (XMC) entails selecting the most relevant labels for an instance from a vast label set. Extreme Zero-shot XMC (EZ-XMC) extends this challeng…