🥳🎉Incredibly happy that our paper received an ✨Outstanding Paper Award✨ at #EMNLP2024!
Huge congrats particularly to @maximek3, who did an incredible job! So lucky to have you as my student!
Check out our paper below ⬇️
Are self-rationalizing VLMs helpful in a real-world, safety-critical setting?
In our new #EMNLP2024 paper
🩺 we recruited 85 medics
🩻 and made them each collaborate with an AI on 80 X-rays under 4 different XAI scenarios
https://t.co/liyPGuyyRO
It turns out that: 🧵 (1/n)
There are openings to come work with us on robots and recovery :)! Apply below or ping me if you are interested about doing applied research around robots :) Great chances to do some research before doing a PhD if you are not sure yet whether research if for you. 🤖🦎
📏 Benchmarking different approaches
We adapt several models for this new task and compare their performance using automatic and clinician-based evaluations. The results indicate that this is a promising new direction for explaining automated medical image analysis.
(5/5)
🗂 Introducing MIMIC-NLE
We investigate this by proposing MIMIC-NLE, a high-quality dataset of 44,935 image-diagnosis-NLE triplets extracted from the radiology reports in MIMIC-CXR. The dataset is available at https://t.co/DFFIBr4EN1.
(4/5)