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Achieving 93.02% accuracy in molecular structure recognition, MinerU.Chem outperforms existing systems, unlocking new possibilities for AI-driven chemistry research.
Achieving an 81.3% Print-Ready Rate, PosterMELD outperforms existing poster generation methods while retaining full editability and design diversity.
The medical imaging AI community is being held back by a fragmented data landscape, but a new metadata-driven fusion paradigm offers a path to unlocking the power of foundation models.
A principled framework for General World Models reveals the limitations of current systems and the architectural requirements for future progress.
LLMs can now more accurately answer questions on complex documents thanks to a new system that understands layout and hierarchical relationships between document components.
Current LLMs and VLMs struggle with multi-step reasoning in long videos, often failing to maintain temporal coherence and procedural validity, as revealed by a new benchmark of hour-long narratives.
Open-source multimodal models just leveled up: InternVL3 rivals closed-source titans like GPT-4o by pre-training vision and language together from the start.
