Discrete diffusion language models are training-free multi-label classifiers
Read the original at arxiv.org→arXiv:2608.14649v1 Announce Type: new Abstract: We present dLLM-SetScore, a training-free method that uses discrete masked-diffusion language models for multi-label text classification. For each candidate label, it...
Original headline: "Discrete Diffusion Language Models Are Training-Free Multi-Label Classifiers"
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- Aug 18, 04:00 UTC arXiv cs.LG lead source Discrete Diffusion Language Models Are Training-Free Multi-Label Classifiers