6 citations · 20 across the 11 of their papers we have counts for
12 papers
Drowning in AI Slop: How Social Media Platforms (Do Not) Label AI and Deepfake Content under EU law
Bram Rijsbosch, Luka Bekavac, Henry Tari +2
AI labels are emerging as a primary safeguard for transparency about AI-generated content on social media, including under the EU Digital Services Act and AI Act. Yet, limited syst…
Is your AI Model Accurate Enough? The Difficult Choices Behind Rigorous AI Development and the EU AI Act
Lucas G. Uberti-Bona Marin, Bram Rijsbosch, Kristof Meding +3
Technical and legal debates frequently suggest that "accuracy" is an objective, measurable, and purely technical property. We challenge this view, showing that evaluating AI perfor…
Can LLMs Create Legally Relevant Summaries and Analyses of Videos?
Lyra Hoeben-Kuil, Gijs van Dijck, Jaromir Savelka +6
Understanding the legally relevant factual basis of an event and conveying it through text is a key skill of legal professionals. This skill is important for preparing forms (e.g.,…
Adoption of Watermarking for Generative AI Systems in Practice and Implications under the new EU AI Act
Bram Rijsbosch, Gijs van Dijck, Konrad Kollnig
AI-generated images have become so good in recent years that individuals often cannot distinguish them any more from "real" images. This development, combined with the rapid spread…
MATCHED: Multimodal Authorship-Attribution To Combat Human Trafficking in Escort-Advertisement Data
Vageesh Saxena, Benjamin Bashpole, Gijs Van Dijck +1
Human trafficking (HT) remains a critical issue, with traffickers increasingly leveraging online escort advertisements (ads) to advertise victims anonymously. Existing detection me…
Know When to Fuse: Investigating Non-English Hybrid Retrieval in the Legal Domain
Antoine Louis, Gijs van Dijck, Gerasimos Spanakis
Hybrid search has emerged as an effective strategy to offset the limitations of different matching paradigms, especially in out-of-domain contexts where notable improvements in ret…
ColBERT-XM: A Modular Multi-Vector Representation Model for Zero-Shot Multilingual Information Retrieval
Antoine Louis, Vageesh Saxena, Gijs van Dijck +1
State-of-the-art neural retrievers predominantly focus on high-resource languages like English, which impedes their adoption in retrieval scenarios involving other languages. Curre…
IDTraffickers: An Authorship Attribution Dataset to link and connect Potential Human-Trafficking Operations on Text Escort Advertisements
Vageesh Saxena, Benjamin Bashpole, Gijs Van Dijck +1
Human trafficking (HT) is a pervasive global issue affecting vulnerable individuals, violating their fundamental human rights. Investigations reveal that a significant number of HT…
Interpretable Long-Form Legal Question Answering with Retrieval-Augmented Large Language Models
Antoine Louis, Gijs van Dijck, Gerasimos Spanakis
Many individuals are likely to face a legal dispute at some point in their lives, but their lack of understanding of how to navigate these complex issues often renders them vulnera…
VendorLink: An NLP approach for Identifying & Linking Vendor Migrants & Potential Aliases on Darknet Markets
Vageesh Saxena, Nils Rethmeier, Gijs Van Dijck +1
The anonymity on the Darknet allows vendors to stay undetected by using multiple vendor aliases or frequently migrating between markets. Consequently, illegal markets and their con…
Finding the Law: Enhancing Statutory Article Retrieval via Graph Neural Networks
Antoine Louis, Gijs van Dijck, Gerasimos Spanakis
Statutory article retrieval (SAR), the task of retrieving statute law articles relevant to a legal question, is a promising application of legal text processing. In particular, hig…
A Statutory Article Retrieval Dataset in French
Antoine Louis, Gerasimos Spanakis
Statutory article retrieval is the task of automatically retrieving law articles relevant to a legal question. While recent advances in natural language processing have sparked con…