[Review] "Modern language models and vector-symbolic architectures show that vector-based models are capable of handling the compositional, structured, and symbolic properties required for human concepts" sciencedirect.com/science/articl…

🚨Call for help🚨 For our piece 'Are LLMs "just" next-token predictors?" (osf.io/preprints/osf/…), we (Zak Hussain, Rui Mata) are looking for quotes of unsubstantiated deflationary claims about LLM cognition in science or media. See github.com/Zak-Hussain/ag…. 🙏Thank you!!

🚨 New article 🚨 Open LLMs are powerful and reproducible alternatives to closed models like GPT or Gemini. In this tutorial, we (Zak Hussain, Marcel Binz, Rui Mata) explain how LLMs work and show how to apply open LLMs to behavioral science questions using the

🚨 New preprint 🚨 I am excited to share a piece with Rui Mata and Zak Hussain in which we advocate for a greater reliance on open LLMs in the behavioral and social sciences. Despite the availability of powerful, more reproducible open alternatives (e.g., via Hugging Face),

Important antitrust lawsuit against academic publishers. We don't have to accept the status quo, in which these companies make huge profits on the backs of scholars, and damage science in the process. lieffcabraser.com/antitrust/acad…

Great to see this perspective led by @jason_w_burton finally out in Nature Human Behaviour. Article: nature.com/articles/s4156…

youtube.com/watch?v=meUtWt… Really impressed by the clarity of Solm's explanations here. Also cool to hear a new (at least to me), affect-centered perspective on consciousness.

New preprint in which use methods from mech interp to reveal that Llama-3-70B implements TD-learning in-context.

arxiv.org/pdf/2408.05859 Cool to see the conceptual tools of cognitive science applied directly to challenges in artificial neural network interpretability - especially the distinction between *semantic* and *algorithmic* interpretation.

Preprint: Individual-level semantic networks are a critical ingredient for building realistic cognitive models. In our simulation, Rui Mata, Dirk Wulff, and I show when measurements of individual semantic networks are accurate and when they are not. arxiv.org/abs/2410.18326

Excited to announce Centaur -- the first foundation model of human cognition. Centaur can predict and simulate human behavior in any experiment expressible in natural language. You can readily download the model from Hugging Face and test it yourself: huggingface.co/marcelbinz/Lla…

youtube.com/watch?v=NvfK1T… This was fun! Looking forward to seeing more research on continual learning (in addition to the "transient" status quo)

🚨 New preprint 🚨 Excited to share this preprint led by Zak Hussain (with Rui Mata and Ben Newell), comparing the semantic contents of embedding models from text, brain, and behavior data. We find that behavior captures key psychological dimensions better than text,

The potential of LLMs in social & behavioral science is enormous—but how can we leverage them? Zak Hussain & I just taught a 5-day course at #GSERM Ljubljana on this. Check out our open materials (cc-by-sa) on using open LLMs with Hugging Face: github.com/Zak-Hussain/LL…

Do LLMs think? Excited to share our updated preprint critically discussing two "Justaic" stances claiming that LLMs lack cognition because they are "just" next-token predictors or "just" machines. Led by Zak Hussain and with Rui Mata. osf.io/preprints/osf/…

Excited to share the materials for our course on open LLMs for science of science research Zak Hussain and I offered at the recent meeting of European Network for the Science of Science at Universität München. github.com/zak-Hussain/LL…

How can we reduce conceptual clutter in the psychological sciences? Rui Mata and I propose a solution based on a fine-tuned 🤖 LLM (bit.ly/mpnet-pers) and test it for 🎭 personality psychology. The paper is finally out in Nature Human Behaviour: go.nature.com/4bEaaja

Happy to have concluded another iteration of our 5-day open LLMs course, together with Zak Hussain. If you are interested in LLMs for behavioral and social sciences, check out our... Tutorial: doi.org/10.3758/s13428… Open materials: github.com/zak-Hussain/LL…

Excited to see our Centaur project out in nature. TL;DR: Centaur is a computational model that predicts and simulates human behavior for any experiment described in natural language.

🚨 New publication 🚨 Excited to see this published in Findings of #ACL2025, led by Zak Hussain. We critically evaluate claims that #LLMs are "just next token predictors" or "just machines" and call for a more measured discussion on LLM cognition. aclanthology.org/2025.findings-…