Author

Pawan Kumar

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Preprint Jul 2026

Discrete Diffusion Language Models Are Training-Free Multi-Label Classifiers

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 asks a short yes/no question and compares the probabilities of the two answer tokens at one masked position. The method uses no task-specific fine-tuning...

Pawan Kumar · 0 citations