🚨 New preprint 🚨 Excited to share this preprint led by Zak Hussain (with @ruimata.bsky.social and Ben Newell), comparing the semantic contents of embedding models from text, brain, and behavior data using the psychNorms metabase: github.com/zak-hussain/... Preprint: arxiv.org/pdf/2412.04936

🥁 Exciting news: Our new article on repeated risky choices is out now! How do children and adults make repeated choices when they learn about probabilities from description (i.e., graphical representation)? Not as expected! 👀 Full text: mpib.berlin/PUMtN 1/n

I had zero luck with grants. People really didn’t get why what I did was important and never figured out how to explain it to them.

🚨New article🚨 Excited to see this article, led by Zak Hussain, finally out. We present a large data set of risk perception and show that generalizable embeddings from free associations and text can rival and improve the psychometric paradigm. epjdatascience.springeropen.com/articles/10....

🚨Updated preprint🚨 Very excited to share this updated preprint with @ruimata.bsky.social. Now using a fine-tuned LLM predicting personality item correlations with MAE = .068. The model is freely available at @huggingface.bsky.social huggingface.co/dwulff/mpnet... Preprint osf.io/preprints/ps...

Unsere Wortassoziationsstudie zeigt nun die Häufigkeit der eigenen Assoziationen an. Zudem werden die häufigsten Assoziationen aller Teilnehmer:innen angezeigt. 5 Minuten teilnehmen und eigene Assoziationen vergleichen: smallworldofwords.org/de

I am happy to share a preprint of a tutorial with @ruimata.bsky.social and @dirkwulff.bsky.social on analyzing free associations using our new R package associatoR! Have a look... 📄 at the preprint: doi.org/10.31234/osf... 💻 at the R package: github.com/samuelae/ass...

"Large language models surpass human experts in predicting neuroscience results" w @ken-lxl.bsky.social and braingpt.org. LLMs integrate a noisy yet interrelated scientific literature to forecast outcomes. arxiv.org/abs/2403.03230 1/6