<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Lexington Whalen | Efficient AI</title><link>https://research.nvidia.com/labs/eai/author/lexington-whalen/</link><atom:link href="https://research.nvidia.com/labs/eai/author/lexington-whalen/index.xml" rel="self" type="application/rss+xml"/><description>Lexington Whalen</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Tue, 07 Jul 2026 00:00:00 +0000</lastBuildDate><image><url>https://research.nvidia.com/labs/eai/media/icon_hu_f6c58f2ed9051eb5.png</url><title>Lexington Whalen</title><link>https://research.nvidia.com/labs/eai/author/lexington-whalen/</link></image><item><title>Nemotron-Labs-Diffusion: A Tri-Mode Language Model Unifying Autoregressive, Diffusion, and Self-Speculation Decoding</title><link>https://research.nvidia.com/labs/eai/publication/nemotron-labs-diffusion/</link><pubDate>Tue, 07 Jul 2026 00:00:00 +0000</pubDate><guid>https://research.nvidia.com/labs/eai/publication/nemotron-labs-diffusion/</guid><description>&lt;!-- Original preprint metadata: https://arxiv.org/abs/2607.05722v1
Featured image: https://arxiv.org/html/2607.05722v1/tri_mode_illustration.png
Verified against the EAI publication list on 2026-11-10.
Conference metadata and BibTeX: https://aclanthology.org/2026.emnlp-main.2416/ (checked 2026-11-10). --&gt;</description></item><item><title>Efficient-DLM: From Autoregressive to Diffusion Language Models, and Beyond in Speed</title><link>https://research.nvidia.com/labs/eai/publication/efficient-dlm/</link><pubDate>Tue, 16 Dec 2025 00:00:00 +0000</pubDate><guid>https://research.nvidia.com/labs/eai/publication/efficient-dlm/</guid><description>&lt;!-- Original preprint metadata: https://arxiv.org/abs/2512.14067v2
Featured image: https://arxiv.org/html/2512.14067v2/acc_block_size.png
Verified against the EAI publication list on 2026-11-10.
Conference metadata and BibTeX: https://proceedings.mlr.press/v306/fu26q.html (checked 2026-11-10). --&gt;</description></item></channel></rss>