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Marcel Binz

@marcelbinz.bsky.social

Natural and artificial general intelligence. https://marcelbinz.github.io/

21 Posts644 Follower590 Folgt
Marcel Binz@marcelbinz.bsky.social · last yr.

New short-form preprint in which we use Centaur to identify gaps in interpretable cognitive models and revise them accordingly using Qwen3 -- fully automated and without a human-in-the-loop. arxiv.org/abs/2505.17661

Automated scientific minimization of regret

We introduce automated scientific minimization of regret (ASMR) -- a framework for automated computational cognitive science. Building on the principles of scientific regret minimization, ASMR leverag...

arxiv.org

@lucaschubu.bsky.social · last yr.

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:

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Milena Rmus@milenamr7.bsky.social · last yr.

About a month late posting this, but here's a new project with @ericschulz.bsky.social, @akjagadish.bsky.social, @marvinmathony.bsky.social and Tobias Ludwig We are using LLMs to propose cognitive models in learning and decision making data. Presenting this work at RLDM! arxiv.org/abs/2502.00879

Towards Automation of Cognitive Modeling using Large Language Models

Computational cognitive models, which formalize theories of cognition, enable researchers to quantify cognitive processes and arbitrate between competing theories by fitting models to behavioral data....

arxiv.org

Eric Schulz@ericschulz.bsky.social · 2y ago

Have we built machines that learn and think like people? In our new paper, we find that vision large language models still fall short when it comes to cognitive abilities in the domains of causal reasoning, intuitive physics, and theory of mind. www.nature.com/articles/s42...

Visual cognition in multimodal large language models - Nature Machine Intelligence

Modern vision-based language models face challenges with complex physical interactions, causal reasoning and intuitive psychology. Schulze Buschoff and colleagues demonstrate that while some models ex...

nature.com