Maxime Kayser

RS @ DeepMind

[Maxime Kayser @maximek3]

@glasgowfilmfest @TronTheatre Hi, is not possible to buy two tickets for each film with a cinecard?

[Cornelius Emde @CorEmde]

Are you scared users might misappropriate your LLM system? 😱

We were scared too! Now we introduce adversarial certificates on the misuse of LLMs. 🤖

Come and see our poster @solarneurips tomorrow.

#NeurIPS2024 #NeurIPS #AI #NLP #LLM #DomainCertification #Shhhhhhhh

[Oana-Maria Camburu @oanacamb]

🥳🎉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 ⬇️

[Maxime Kayser @maximek3]

@oanacamb @neuralisa @CorEmde @RayscapeAI @UniofOxford and of course to Susanne Gaube, Bogdan Bercean, Thomas Lukasiewicz, Alex Novak, Abdala Espinosa, Bartlomiej W. Papiez, and all 85 study participants

[Maxime Kayser @maximek3]

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)

[Maxime Kayser @maximek3]

Huge thanks to @oanacamb @neuralisa @CorEmde @RayscapeAI @UniofOxford

[Maxime Allard @allardmaxime079]

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. 🤖🦎

[Maxime Kayser @maximek3]

@vegancokee Love it

[Maxime Kayser @maximek3]

📏 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)

[Maxime Kayser @maximek3]

✨New Paper✨ at #MICCAI2022🩺

🔎 Explaining Chest X-ray Pathologies in Natural Language
https://t.co/gQ6ejWzQV4

with @CorEmde, @oanacamb, Guy Parsons, @bwpapiez, and Thomas Lukasiewicz

@UniofOxford

#ML #MedicalImaging #Xray #XAI #NLProc

(1/5)

[Maxime Kayser @maximek3]

🗂 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)