12 citations · 33 across the 25 of their papers we have counts for
9 papers · 1 filter
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…
LLM-Based Information Extraction to Support Scientific Literature Research and Publication Workflows
Samy Ateia, Udo Kruschwitz, Melanie Scholz +2
The increasing volume of scholarly publications requires advanced tools for efficient knowledge discovery and management. This paper introduces ongoing work on a system using Large…
Can Language Models Critique Themselves? Investigating Self-Feedback for Retrieval Augmented Generation at BioASQ 2025
Samy Ateia, Udo Kruschwitz
Agentic Retrieval Augmented Generation (RAG) and 'deep research' systems aim to enable autonomous search processes where Large Language Models (LLMs) iteratively refine outputs. Ho…
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…
Query Smarter, Trust Better? Exploring Search Behaviours for Verifying News Accuracy
David Elsweiler, Samy Ateia, Markus Bink +8
While it is often assumed that searching for information to evaluate misinformation will help identify false claims, recent work suggests that search behaviours can instead reinfor…
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…
Do we still need Human Annotators? Prompting Large Language Models for Aspect Sentiment Quad Prediction
Nils Constantin Hellwig, Jakob Fehle, Udo Kruschwitz +1
Aspect sentiment quad prediction (ASQP) facilitates a detailed understanding of opinions expressed in a text by identifying the opinion term, aspect term, aspect category and senti…