7 papers
xList-Hate: A Checklist-Based Framework for Interpretable and Generalizable Hate Speech Detection
Adrián Girón, Pablo Miralles, Javier Huertas-Tato +2
Hate speech detection is commonly framed as a direct binary classification problem despite being a composite concept defined through multiple interacting factors that vary across l…
LLM one-shot style transfer for Authorship Attribution and Verification
Pablo Miralles-González, Javier Huertas-Tato, Alejandro MartÃn +1
Computational stylometry studies writing style through quantitative textual patterns, enabling applications such as authorship attribution, identity linking, and plagiarism detecti…
Supervised Contrastive Learning for Few-Shot AI-Generated Image Detection and Attribution
Jaime Ãlvarez Urueña, David Camacho, Javier Huertas Tato
The rapid advancement of generative artificial intelligence has enabled the creation of synthetic images that are increasingly indistinguishable from authentic content, posing sign…
Not all tokens are created equal: Perplexity Attention Weighted Networks for AI generated text detection
Pablo Miralles-González, Javier Huertas-Tato, Alejandro MartÃn +1
The rapid advancement in large language models (LLMs) has significantly enhanced their ability to generate coherent and contextually relevant text, raising concerns about the misus…
Pushing the boundary on Natural Language Inference
Pablo Miralles-González, Javier Huertas-Tato, Alejandro MartÃn +1
Natural Language Inference (NLI) is a central task in natural language understanding with applications in fact-checking, question answering, and information retrieval. Despite its…
On the locality bias and results in the Long Range Arena
Pablo Miralles-González, Javier Huertas-Tato, Alejandro MartÃn +1
The Long Range Arena (LRA) benchmark was designed to evaluate the performance of Transformer improvements and alternatives in long-range dependency modeling tasks. The Transformer…