3 papers
cs.CL2026
Focus on the Core: Empowering Diffusion Large Language Models by Self-Contrast
Jinyuan Feng, Xin Yu, Yiqun Chen +5
The iterative denoising paradigm of Diffusion Large Language Models (DLMs) endows them with a distinct advantage in global context modeling. However, current decoding strategies fa…
cs.LG2025
Virtual Width Networks
Seed, Baisheng Li, Banggu Wu +115
We introduce Virtual Width Networks (VWN), a framework that delivers the benefits of wider representations without incurring the quadratic cost of increasing the hidden size. VWN d…
cs.AI2025
Fate: Fast Edge Inference of Mixture-of-Experts Models via Cross-Layer Gate
Zhiyuan Fang, Zicong Hong, Yuegui Huang +5
Large Language Models (LLMs) have demonstrated impressive performance across various tasks, and their application in edge scenarios has attracted significant attention. However, sp…