Our paper is now out in Nature Human Behaviour! 🎉 We use games from behavioural economics to explore how LLMs behave in repeated social interactions, revealing both self-interested strengths and coordination blind spots, and propose strategies to improve AI-human collaboration.

🚨 We're hiring! If you're excited about 🤖 ML/LLMs, 🧠 cognitive science, or 💭 computational psychiatry, come join us in Munich. Two fully funded PhDs @www.helmholtz-munich.de: tailored mentorship, international vibe, lots of room to grow. 📅 May 16th 🔗 hcai-munich.com/PhDHCAI.pdf

In previous work we found that VLMs fall short of human visual cognition. To make them better, we fine-tuned them on visual cognition tasks. We find that while this improves performance on the fine-tuning task, it does not lead to models that generalize to other related tasks:

Happy to share that our paper is on the cover of @natmachintell.bsky.social! Working on the cover art was a new and fun challenge www.nature.com/natmachintel...

🚀 Our paper on visual cognition in multimodal large language models is now out in @natmachintell.bsky.social with @lucaschubu.bsky.social, @bethgelab.bsky.social and @ericschulz.bsky.social!