4 citations · 8 across the 7 of their papers we have counts for
10 papers
Predicting User Stances from Target-Agnostic Information using Large Language Models
Siyuan Brandon Loh, Liang Ze Wong, Prasanta Bhattacharya +3
We investigate Large Language Models' (LLMs) ability to predict a user's stance on a target given a collection of his/her target-agnostic social media posts (i.e., user-level stanc…
From traces to measures: Large language models as a tool for psychological measurement from text
Joseph J. P. Simons, Wong Liang Ze, Prasanta Bhattacharya +2
Large language models are increasingly being used to label or rate psychological features in text data. This approach helps address one of the limiting factors of digital trace dat…
Enhancing Stance Classification on Social Media Using Quantified Moral Foundations
Hong Zhang, Quoc-Nam Nguyen, Prasanta Bhattacharya +5
This study enhances stance detection on social media by incorporating deeper psychological attributes, specifically individuals' moral foundations. These theoretically-derived dime…
Diagonal Lemma for Presheaves on Eilenberg-Zilber Categories
Daniel Carranza, Chris Kapulkin, Liang Ze Wong
The diagonal lemma asserts that if a map of bisimplicial sets is a levelwise weak equivalence in the Kan-Quillen model structure, then it induces a weak equivalence of the diagonal…
Cofibration category of digraphs for path homology
Daniel Carranza, Brandon Doherty, Chris Kapulkin +3
We prove that the category of directed graphs and graph maps carries a cofibration category structure in which the weak equivalences are the graph maps inducing isomorphisms on pat…
Dependently Typed Knowledge Graphs
Zhangsheng Lai, Aik Beng Ng, Liang Ze Wong +2
Reasoning over knowledge graphs is traditionally built upon a hierarchy of languages in the Semantic Web Stack. Starting from the Resource Description Framework (RDF) for knowledge…