5 citations · 40 across the 105 of their papers we have counts for
26 papers · 2 filters
M4FC: a Multimodal, Multilingual, Multicultural, Multitask Real-World Fact-Checking Dataset
Jiahui Geng, Jonathan Tonglet, Iryna Gurevych
Existing real-world datasets for multimodal fact-checking have multiple limitations: they contain few instances, cover only one or two languages, focus on a single task, or rely on…
Citation Failure: Definition, Analysis and Efficient Mitigation
Jan Buchmann, Iryna Gurevych
Citations from LLM-based RAG systems are supposed to simplify response verification. However, this goal is undermined in cases of citation failure, where a model generates a helpfu…
The Good, the Bad and the Constructive: Automatically Measuring Peer Review's Utility for Authors
Abdelrahman Sadallah, Tim Baumgärtner, Iryna Gurevych +1
Providing constructive feedback to paper authors is a core component of peer review. With reviewers increasingly having less time to perform reviews, automated support systems are…
Towards Automated Error Discovery: A Study in Conversational AI
Dominic Petrak, Thy Thy Tran, Iryna Gurevych
Although LLM-based conversational agents demonstrate strong fluency and coherence, they still produce undesirable behaviors (errors) that are challenging to prevent from reaching u…
ABCD-LINK: Annotation Bootstrapping for Cross-Document Fine-Grained Links
Serwar Basch, Ilia Kuznetsov, Tom Hope +1
Understanding fine-grained links between documents is crucial for many applications, yet progress is limited by the lack of efficient methods for data curation. To address this lim…
Is this chart lying to me? Automating the detection of misleading visualizations
Jonathan Tonglet, Jan Zimny, Tinne Tuytelaars +1
Misleading visualizations are a potent driver of misinformation on social media and the web. By violating chart design principles, they distort data and lead readers to draw inaccu…