2 papers
cs.CL2025
Learning to Parallel: Accelerating Diffusion Large Language Models via Learnable Parallel Decoding
Wenrui Bao, Zhiben Chen, Dan Xu +1
Autoregressive decoding in large language models (LLMs) requires sequential steps for tokens, fundamentally limiting inference throughput. Recent diffusion-bas…
cs.CV2024
Efficient Multitask Dense Predictor via Binarization
Yuzhang Shang, Dan Xu, Gaowen Liu +2
Multi-task learning for dense prediction has emerged as a pivotal area in computer vision, enabling simultaneous processing of diverse yet interrelated pixel-wise prediction tasks.…