2 papers
cs.CL2026
SAID: Accelerating Diffusion-Based Language Models via Scaffold-Aware Iterative Decoding
Na Li, Chengda Wang, Mingju Gao +1
Diffusion large language models (DLLMs) enable non-autoregressive generation by iteratively denoising corrupted token sequences with bidirectional context. Despite their ability to…
cs.HC2025
InstructPipe: Generating Visual Blocks Pipelines with Human Instructions and LLMs
Zhongyi Zhou, Jing Jin, Vrushank Phadnis +16
Visual programming has the potential of providing novice programmers with a low-code experience to build customized processing pipelines. Existing systems typically require users t…