Taming the Long-Tail: Efficient Reasoning RL Training with Adaptive Drafter

by RLE at MIT | Feb 27, 2026 | RLE Recent Papers

Image credit MIT News Qinghao Hu, Shang Yang, Junxian Guo, Xiaozhe Yao, Yujun Lin, Yuxian Gu, Han Cai, Chuang Gan, Ana Klimovic, Song Han https://arxiv.org/pdf/2511.16665  Abstract: The emergence of Large Language Models (LLMs) with strong reasoning...

Fully 3D-Printed electric motor manufactured via multi-modal, multi-material extrusion

by RLE at MIT | Feb 24, 2026 | RLE Recent Papers

Image courtesy of the researchers. Jorge Cañada, Zoey Bigelow, Luis Fernando Velásquez-García DOI: 10.1080/17452759.2026.2613185 Abstract: Material extrusion additive manufacturing can process a wide variety of functional materials including electrically...

Imaging a terahertz superfluid plasmon in a two-dimensional superconductor

by RLE at MIT | Feb 5, 2026 | RLE Recent Papers

Artwork created by Emily Theobald and Sampson Wilcox A. von Hoegen, T. Tai, C. J. Allington, M. Yeung, J. Pettine, M. H. Michael, E. Viñas Boström, X. Cui, K. Torres, A. E. Kossak, B. Lee, G. S. D....

Disentangling Environmental Effects on Perovskite Solar Cell Performance via Interpretable Machine Learning

by RLE at MIT | Feb 2, 2026 | News Links, RLE Recent Papers

Artwork created by Sampson Wilcox Tianran Liu, Nicky Evans, Kangyu Ji, Ronaldo Lee, Aaron Zhu, Vinn Nguyen, James Serdy, Elizabeth M. Wall, Yongli Lu, Florian A. Formica, Moungi G. Bawendi, Quinn C. Burlingame, Yueh-Lin Loo, Vladimir Bulović,...

Single-shot matrix-matrix photonic processor based on spatial-spectral hypermultiplexed parallel diffraction

by RLE at MIT | Jan 23, 2026 | News Links, RLE Recent Papers

Artwork by Sampson Wilcox Chao Luan, Ronald Davis III, Zaijun Chen, Dirk Englund & Ryan Hamerly DOI: 10.1038/s41467-026–68452‑x Abstract: The ever-increasing data demand craves advancements in high-speed and energy-efficient computing...

Disaggregated machine learning via in-physicscomputing at radio frequency

by RLE at MIT | Jan 14, 2026 | RLE Recent Papers

Artwork by Sampson Wilcox Zhihui Gao, Sri Krishna Vadlamani, Kfir Sulimany, Dirk Englund, Tingjun Chen DOI: 10.1126/sciadv.adz0817 Abstract: Modern edge devices, such as cameras, drones, and internet-of-things nodes, rely on machine learning to enable a wide...