Papers26

#supervised fine-tuning

LLaDA2.0: Scaling Up Diffusion Language Models to 100B

Tiwei Bie, Maosong Cao et al.Dec 10arXiv

Before this work, most big language models talked one word at a time (autoregressive), which made them slow and hard to parallelize.

#diffusion language model#masked diffusion#block diffusion

EditThinker: Unlocking Iterative Reasoning for Any Image Editor

Intermediate

Hongyu Li, Manyuan Zhang et al.Dec 5arXiv

EditThinker is a helper brain for any image editor that thinks, checks, and rewrites the instruction in multiple rounds until the picture looks right.

#instruction-based image editing#iterative reasoning#multimodal large language model

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