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Navigating the deluge of scientific papers just got easier: Paper Circle uses multi-agent LLMs to automate research discovery and knowledge graph construction, promising faster literature reviews and deeper insights.
Forget choosing just one vision encoder – fusing CLIP and DINO representations unlocks a significant performance boost in vision-language tasks.
Open-ended reinforcement learning with LLM-based rewards unlocks surprisingly strong performance in medical reasoning for multimodal models, even with limited training data.
Forget cloud GPUs – a new model brings unified multimodal understanding and generation to your iPhone, running 6x faster than alternatives.