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20242026
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cs.IR2026

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…

cs.IR2025

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…

cs.IR2025

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…

cs.IR2025

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…

cs.IR2024

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…