🚨New preprint! 🚨In-context learning (ICL) is the intriguing ability of LLMs to learn to solve tasks purely from context w/o parameter updates. For multimodal LLMs (MLLMs), ICL is poorly understood, especially in the medical domain where doctors would often face few relevant

SMMILE An Expert-Driven Benchmark for Multimodal Medical In-Context Learning

Excited to share that our paper "Beyond the Prompt: Deploying Medical Foundation Models on Diverse Chest X-ray Populations" is accepted at #MIDL2025 and will be presented at the conference next week! In this work, we explore how to reliably deploy foundation models in real-world

🚀 Excited to share two open-source releases today from our team at Google Research • 𝐋𝐚𝐧𝐠𝐄𝐱𝐭𝐫𝐚𝐜𝐭 – Gemini-powered information extraction • 𝐑𝐚𝐝𝐄𝐱𝐭𝐫𝐚𝐜𝐭 – Radiology reporting demo Try RadExtract → google-radextract.hf.space #LangExtract #Gemini (1/4)