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Yale University, New Haven, CT, USA
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High-fidelity curation of medical multimodal data can drastically improve AI model performance, with MedPMC achieving remarkable clinical relevance and benchmark results.
Autoformalization gets a major upgrade: DSR's neuro-symbolic approach leverages operator trees to outperform end-to-end LLMs, proving that structured representations are key to bridging human and formal mathematics.