20 papers · ranked by Valyu relevance
Mengxia Yu, Zhihan Zhang, Wenhao Yu, Meng Jiang
Comparative reasoning is a process of comparing objects, concepts, or entities to draw conclusions, which constitutes a fundamental cognitive ability. In this paper, we propose a novel framework to pre-train language models for enhancing their abilities of comparative reasoning over texts. While there have been…
Lihui Liu, Boxin Du, Heng Ji, Hanghang Tong
Reasoning is a fundamental capability for harnessing valuable insight, knowledge and patterns from knowledge graphs. Existing work has primarily been focusing on point-wise reasoning, including search, link predication, entity prediction, subgraph matching and so on. This paper introduces comparative reasoning over…
Catriona Silvey, Dedre Gentner, Lindsey Engle Richland, Susan Goldin-Meadow
'Susan Goldin-Meadow'] Title: Abstract Laboratory studies have demonstrated beneficial effects of making comparisons on children’s analogical reasoning skills. We extend this finding to an observational dataset comprising 42 children. The prevalence of specific comparisons, which identify a feature of similarity or…
Marine Simon, Alexandra Budke, Frank Schäbitz
Comparison is a cognitive process and a method of acquiring geographical knowledge widely promoted within school systems in Germany, France and England. Comparison is an everyday practice, but it is also one of the methods systematically used by geographers and serves various scientific purposes. However, little is…
Paula M. Mabee, James P. Balhoff, Wasila M. Dahdul, Hilmar Lapp + 2 more
There is a growing body of research on the evolution of anatomy in a wide variety of organisms. Discoveries in this field could be greatly accelerated by computational methods and resources that enable these findings to be compared across different studies and different organisms and linked with the genes responsible…
Petersen, Molly R, Stevenson, Claire E + 2 more
Analogical reasoning is an essential aspect of human cognition. In this paper, we summarize key theory about the processes underlying analogical reasoning from the cognitive science literature and relate it to current research in natural language processing. While these processes can be easily linked to concepts in…
Taylor W. Webb, Keith J. Holyoak, Hongjing Lu
The recent advent of large language models has reinvigorated debate over whether human cognitive capacities might emerge in such generic models given sufficient training data. Of particular interest is the ability of these models to reason about novel problems zero-shot, without any direct training. In human cognition…
Patricia A Alexander
This article offers an overview of the nature and role of relational thinking and relational reasoning in human learning and performance, both of which pertain to the discernment of meaningful patterns within any informational stream. Distinctions between thinking and reasoning relationally are summarized, along with…
Authors not listed
The Socratic method, grounded in iterative questioning and critical dialogue, offers a compelling framework for leveraging large language models (LLMs) to advance scientific reasoning and discovery in chemistry and materials science. In this paper, we explore how Socratic principles can be integrated into prompt…
Nat Hansen
An important challenge to color objectivists, who hold that statements concerning color are made true or false by objective (non-subject-involving) facts, is the argument from interpersonal variation in where normal observers locate the unique hues. Recently, an attractive objectivist response to the argument has been…
Dániel Rivas-Blanco, Marco Vasconcelos, Friederike Range, Alex Kacelnik + 1 more
Is human language necessary for logical reasoning? Multiple studies address this by showing animals a bait hidden in either of two inverted cups, briefly lifting one exposing its content and then letting subjects choose. Consistent preference for the baited container is interpreted as evidence of inferential reasoning…
Jan Frederik Sima, Holger Schultheis, Thomas Barkowsky
This article investigates the relationship between visual mental representations and spatial mental representations in human visuo-spatial processing. By comparing two common theories of visuo-spatial processing - mental model theory and the theory of mental imagery - we identified two open questions: (1) which…
Guillermo Puebla, Jeffrey S. Bowers
Same-different visual reasoning is a basic skill central to abstract combinatorial thought. This fact has lead neural networks researchers to test same-different classification on deep convolutional neural networks (DCNNs), which has resulted in a controversy regarding whether this skill is within the capacity of these…
Shrivats Agrawal
The potential of large language models (LLMs) to reason like humans has been a highly contested topic in Machine Learning communities. However, the reasoning abilities of humans are multifaceted and can be seen in various forms, including analogical, spatial and moral reasoning, among others. This fact raises the…
Luke J. Hearne, Conor Robinson, Luca Cocchi, Takuya Ito
Relational reasoning—the capacity to understand how elements relate to one another—is a defining feature of human intelligence, yet its computational basis remains unclear. Here, we combined human neuroimaging (7T fMRI) and artificial neural network modeling to examine relational reasoning in biological and artificial…
Dániel Rivas-Blanco, Marco Vasconcelos, Friederike Range, Alex Kacelnik + 1 more
We critically examine theoretical and experimental evidence that animals’ reason by exclusion, focusing on a widespread protocol known as the 2-Cups Task. We test the hypothesis that subjects solve inference by exclusion tasks by responding independently to two options, without implementing complex reasoning, as…
Guillermo Puebla, Jeffrey S. Bowers
Same-different visual reasoning is a basic skill central to abstract combinatorial thought. This fact has lead neural networks researchers to test same-different classification on deep convolutional neural networks (DCNNs), which has resulted in a controversy regarding whether this skill is within the capacity of these…
Authors not listed
Step-by-step thinking is essential in all domains of chemical sciences and engineering. While machine learning tools are broadly used, algorithms that automate reasoning are far less common. We elaborate on seven categories of human reasoning activities and connect each to applications in chemical science and…
Authors not listed
Nuclear Magnetic Resonance (NMR) structure determination is an important problem in education, industry, and research. Solving NMR spectra requires expert knowledge, critical thinking, and careful evaluation of multiple features of spectral data. This study explores the capabilities of large language models (LLMs) for…
Tianfan Jin, Brett M Savoie
Contemporary machine learning algorithms have largely succeeded in automating the development of mathematical models from data. Although this is a striking accomplishment, it leaves unaddressed the multitude of scenarios, especially across the chemical sciences and engineering, where deductive, rather than inductive…