9 citations · 24 across the 11 of their papers we have counts for
13 papers
From Questions to Trust Reports: A LLM-IR Framework for the TREC 2025 DRAGUN Track
Ignacy Alwasiak, Kene Nnolim, Jaclyn Thi +5
The DRAGUN Track at TREC 2025 targets the growing need for effective support tools that help users evaluate the trustworthiness of online news. We describe the UR_Trecking system s…
MedNuggetizer: Confidence-Based Information Nugget Extraction from Medical Documents
Gregor Donabauer, Samy Ateia, Udo Kruschwitz +6
We present MedNuggetizer, https://mednugget-ai.de/; access is available upon request.}, a tool for query-driven extraction and clustering of information nuggets from medical docume…
Why am I seeing this? Towards recognizing social media recommender systems with missing recommendations
Sabrina Guidotti, Sabrina Patania, Giuseppe Vizzari +4
Social media plays a crucial role in shaping society, often amplifying polarization and spreading misinformation. These effects stem from complex dynamics involving user interactio…
A Reproducibility Study of Graph-Based Legal Case Retrieval
Gregor Donabauer, Udo Kruschwitz
Legal retrieval is a widely studied area in Information Retrieval (IR) and a key task in this domain is retrieving relevant cases based on a given query case, often done by applyin…
Understanding Learner-LLM Chatbot Interactions and the Impact of Prompting Guidelines
Cansu Koyuturk, Emily Theophilou, Sabrina Patania +13
Large Language Models (LLMs) have transformed human-computer interaction by enabling natural language-based communication with AI-powered chatbots. These models are designed to be…
Use Me Wisely: AI-Driven Assessment for LLM Prompting Skills Development
Dimitri Ognibene, Gregor Donabauer, Emily Theophilou +10
The use of large language model (LLM)-powered chatbots, such as ChatGPT, has become popular across various domains, supporting a range of tasks and processes. However, due to the i…
Token-Level Graphs for Short Text Classification
Gregor Donabauer, Udo Kruschwitz
The classification of short texts is a common subtask in Information Retrieval (IR). Recent advances in graph machine learning have led to interest in graph-based approaches for lo…
Modeling Social Media Recommendation Impacts Using Academic Networks: A Graph Neural Network Approach
Sabrina Guidotti, Gregor Donabauer, Simone Somazzi +3
The widespread use of social media has highlighted potential negative impacts on society and individuals, largely driven by recommendation algorithms that shape user behavior and s…
Challenges in Pre-Training Graph Neural Networks for Context-Based Fake News Detection: An Evaluation of Current Strategies and Resource Limitations
Gregor Donabauer, Udo Kruschwitz
Pre-training of neural networks has recently revolutionized the field of Natural Language Processing (NLP) and has before demonstrated its effectiveness in computer vision. At the…
Learning to Prompt in the Classroom to Understand AI Limits: A pilot study
Emily Theophilou, Cansu Koyuturk, Mona Yavari +10
Artificial intelligence's (AI) progress holds great promise in tackling pressing societal concerns such as health and climate. Large Language Models (LLM) and the derived chatbots,…
Developing Effective Educational Chatbots with ChatGPT prompts: Insights from Preliminary Tests in a Case Study on Social Media Literacy (with appendix)
Cansu Koyuturk, Mona Yavari, Emily Theophilou +9
Educational chatbots come with a promise of interactive and personalized learning experiences, yet their development has been limited by the restricted free interaction capabilitie…
Exploring Fake News Detection with Heterogeneous Social Media Context Graphs
Gregor Donabauer, Udo Kruschwitz
Fake news detection has become a research area that goes way beyond a purely academic interest as it has direct implications on our society as a whole. Recent advances have primari…
A New Dataset for Topic-Based Paragraph Classification in Genocide-Related Court Transcripts
Miriam Schirmer, Udo Kruschwitz, Gregor Donabauer
Recent progress in natural language processing has been impressive in many different areas with transformer-based approaches setting new benchmarks for a wide range of applications…