2 citations · 4 across the 5 of their papers we have counts for
7 papers
Which Attention Heads are like the Human Head? Not the Ones that Compute
Christopher Pinier, Gustaw Opiełka, Hannes Rosenbusch +3
Brain-AI alignment is often interpreted as a sign that model and brain perform similar computations. Whether the aligned units are causally involved in model computation is rarely…
Large Language Models Show Signs of Alignment with Human Neurocognition During Abstract Reasoning
Christopher Pinier, Sonia Acuña Vargas, Mariia Steeghs-Turchina +3
This study investigates whether large language models (LLMs) mirror human neurocognition during abstract reasoning. We compared the performance and neural representations of human…
Analogical Reasoning Inside Large Language Models: Concept Vectors and the Limits of Abstraction
Gustaw Opiełka, Hannes Rosenbusch, Claire E. Stevenson
Analogical reasoning relies on conceptual abstractions, but it is unclear whether Large Language Models (LLMs) harbor such internal representations. We explore distilled representa…
Can Large Language Models generalize analogy solving like children can?
Claire E. Stevenson, Alexandra Pafford, Han L. J. van der Maas +1
In people, the ability to solve analogies such as "body : feet :: table : ?" emerges in childhood, and appears to transfer easily to other domains, such as the visual domain "( : )…
Do Large Language Models Solve ARC Visual Analogies Like People Do?
Gustaw Opiełka, Hannes Rosenbusch, Veerle Vijverberg +1
The Abstraction Reasoning Corpus (ARC) is a visual analogical reasoning test designed for humans and machines (Chollet, 2019). We compared human and large language model (LLM) perf…
Solving ARC visual analogies with neural embeddings and vector arithmetic: A generalized method
Luca H. Thoms, Karel A. Veldkamp, Hannes Rosenbusch +1
Analogical reasoning derives information from known relations and generalizes this information to similar yet unfamiliar situations. One of the first generalized ways in which deep…
Do large language models solve verbal analogies like children do?
Claire E. Stevenson, Mathilde ter Veen, Rochelle Choenni +2
Analogy-making lies at the heart of human cognition. Adults solve analogies such as \textit{Horse belongs to stable like chicken belongs to ...?} by mapping relations (\textit{kept…