27 citations
- ETH ZurichCH2 papers
- University of Applied Sciences of the GrisonsCH2 papers
- Warsaw University of TechnologyPL2 papers
- Centre for Mental HealthGB1 paper
- Digital Catapult (United Kingdom)GB1 paper
- Exponent (United States)US1 paper
- GESIS - Leibniz Institute for the Social SciencesDE1 paper
- Graz University of TechnologyAT1 paper
- HSBC HoldingsGB1 paper
- Know Center Research GmbH (Austria)AT1 paper
- L3S Research CenterDE1 paper
- Max Planck InnovationDE1 paper
9 papers
Evaluating LLM-Generated Q&A Test: a Student-Centered Study
Anna Wróblewska, Bartosz Grabek, Jakub Świstak +1
This research prepares an automatic pipeline for generating reliable question-answer (Q&A) tests using AI chatbots. We automatically generated a GPT-4o-mini-based Q&A test for a Na…
Applying Text Mining to Analyze Human Question Asking in Creativity Research
Anna Wróblewska, Marceli Korbin, Yoed N. Kenett +3
Creativity relates to the ability to generate novel and effective ideas in the areas of interest. How are such creative ideas generated? One possible mechanism that supports creati…
Evolution of ESG-focused DLT Research: An NLP Analysis of the Literature
Walter Hernandez Cruz, Kamil Tylinski, Alastair Moore +6
Distributed Ledger Technology (DLT) faces increasing environmental scrutiny, particularly concerning the energy consumption of the Proof of Work (PoW) consensus mechanism and broad…
Adversarial Inter-Group Link Injection Degrades the Fairness of Graph Neural Networks
Hussain Hussain, Meng Cao, Sandipan Sikdar +4
We present evidence for the existence and effectiveness of adversarial attacks on graph neural networks (GNNs) that aim to degrade fairness. These attacks can disadvantage a partic…
Laplace Redux -- Effortless Bayesian Deep Learning
Erik Daxberger, Agustinus Kristiadi, Alexander Immer +3
Bayesian formulations of deep learning have been shown to have compelling theoretical properties and offer practical functional benefits, such as improved predictive uncertainty qu…
Harvest -- An Open Source Toolkit for Extracting Posts and Post Metadata from Web Forums
Albert Weichselbraun, Adrian M. P. Brasoveanu, Roger Waldvogel +1
Automatic extraction of forum posts and metadata is a crucial but challenging task since forums do not expose their content in a standardized structure. Content extraction methods,…