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cs.LG2026
Support Before Frequency in Discrete Diffusion
Adrian Müller, Antoine Gonon, Zebang Shen +2
Discrete diffusion models are increasingly competitive for language modeling, yet it remains unclear how their denoising objectives organize learning. Although these objectives tar…
cs.LG2026
Gaussian Match-and-Copy: A Minimalist Benchmark for Studying Transformer Induction
Antoine Gonon, Alexandre Cordonnier, Nicolas Boumal
Match-and-copy is a core retrieval primitive used at inference time by large language models to retrieve a matching token from the context then copy its successor. Yet, understandi…