Author

Jonathan Geuter

h-index 4 View on Semantic Scholar

We have 2 of 10 papers

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

#machine learning Preprint Sep 2026

Unlocking Lossless Speedups in LLMs via Discrete Diffusion

Large Language Models (LLMs) owe much of their success to next-token prediction (NTP), but their autoregressive (AR) structure requires slow, sequential token generation. To overcome this bottleneck, we introduce diffusion-augmented LLMs, a new class of models that defines an AR model distribution while using diffusion...

S. Sahoo, Ling-Jie Chen, Khiem Pham et al. · 1 citation

Preprint Aug 2026

Thinking at the Right Size: Amortized Distillation Across Post-Trained LLMs

ADAPT---Amortized Distillation Across Post-Trained LLMs is introduced, a framework for amortizing distillation across both axes of a model family: size and post-training variant, producing models for interpolated sizes across post-trained variants with a single distillation run.

Yan Zhou, Sara Kangaslahti, Jonathan Geuter et al. · 0 citations