1 citations · 1 across the 5 of their papers we have counts for
5 papers
From Surface Learning to Deep Understanding: A Grounded AI Tutoring System for Moodle
Anna Ostrowska, Michał Kukla, Gabriela Majstrak +4
This demo paper describes the development of the AI Teaching \& Learning Assistant, a modular Moodle plugin that leverages Retrieval-Augmented Generation (RAG) to deliver high-qual…
Clickbait detection: quick inference with maximum impact
Soveatin Kuntur, Panggih Kusuma Ningrum, Anna Wróblewska +2
We propose a lightweight hybrid approach to clickbait detection that combines OpenAI semantic embeddings with six compact heuristic features capturing stylistic and informational c…
Graph Neural Networks for Misinformation Detection: Performance-Efficiency Trade-offs
Soveatin Kuntur, Maciej Krzywda, Anna Wróblewska +4
The rapid spread of online misinformation has led to increasingly complex detection models, including large language models and hybrid architectures. However, their computational c…
LLM Essay Scoring Under Holistic and Analytic Rubrics: Prompt Effects and Bias
Filip J. Kucia, Anirban Chakraborty, Anna Wróblewska
Despite growing interest in using Large Language Models (LLMs) for educational assessment, it remains unclear how closely they align with human scoring. We present a systematic eva…
On the Effectiveness of LLM-Specific Fine-Tuning for Detecting AI-Generated Text
Michał Gromadzki, Anna Wróblewska, Agnieszka Kaliska
The rapid progress of large language models has enabled the generation of text that closely resembles human writing, creating challenges for authenticity verification in education,…