Sophia Tang(@_sophia_tang_):Can we train a one-step discrete generator without a teacher model? Introducing Discrete Beckmann Transport Models 🛸 — a new family of discrete generative models that provably carries any point in the latent space to a fixed point on the vertices of the simplex in a single step. We achieve the diversity-coherence Pareto frontier for unconditional language modeling and SOTA few-step reasoning performance, with 84.6% accuracy in 4 NFEs on Sudoku-Hard and 16.8% in 32 NFEs on TinyGSM/GSM8K. Joint work with @ShiyiWangML from my visit at Harvard! Also, huge thanks to @msalbergo and @BrianLee794309 for the helpful discussions and guidance :D More in 🧵

Sophia Tang

@_sophia_tang_

CS + Stats @Penn M&T / Research in AI4Science and Generative Modeling / Writing at

参加 October 2021

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Sophia Tang@_sophia_tang_

2026.09.16 12:50

Can we train a one-step discrete generator without a teacher model? Introducing Discrete Beckmann Transport Models 🛸 — a new family of discrete generative models that provably carries any point in the latent space to a fixed point on the vertices of the simplex in a single step. We achieve the diversity-coherence Pareto frontier for unconditional language modeling and SOTA few-step reasoning performance, with 84.6% accuracy in 4 NFEs on Sudoku-Hard and 16.8% in 32 NFEs on TinyGSM/GSM8K. Joint work with @ShiyiWangML from my visit at Harvard! Also, huge thanks to @msalbergo and @BrianLee794309 for the helpful discussions and guidance :D More in 🧵