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Home/Authors/Justin Deschenaux

Justin Deschenaux

1 indexed paper

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26

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ML×1

Frequent co-authors

Caglar Gulcehre1×

Research Timeline

2026
BlockGen: Flexible Blockwise Sequence Modeling with Hybrid Samplers

The paper introduces BlockGen, a blockwise sequence model, to investigate the performance of uniform-state versus masked diffusion models when generating sequences block-by-block, showing that the performance gap between the two approaches is highly dependent on the sampling method and sequence length.

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Papers

cs.LGRecentJun 1, 2026

BlockGen: Flexible Blockwise Sequence Modeling with Hybrid Samplers

Justin Deschenaux, Caglar Gulcehre

The paper introduces BlockGen, a blockwise sequence model, to investigate the performance of uniform-state versus masked diffusion models when generating sequences block-by-block, showing that the per…

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