7 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…
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…
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…
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…