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Shanghai AI Laboratory
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A 4B-parameter model, InternVL-U, punches above its weight, outperforming 14B-parameter models in multimodal generation and editing by using a novel data synthesis pipeline and architecture.
You can now get 4x faster text-to-image generation from masked image models like Lumina-DiMOO, without sacrificing quality, by predicting feature evolution.
Forget separate pipelines for EEG, MEG, and fMRI data – this LLM fuses them all into a single semantic space, unlocking more accurate brain decoding.
Today's best AI agents fail at realistic software engineering tasks, stalling before even reaching 30% completion, revealing the urgent need for better long-horizon planning and human-AI collaboration.
