4 citations · 18 across the 20 of their papers we have counts for
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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…
One-shot Style Transfer LLM log-probabilities for Authorship Attribution and Verification
Pablo Miralles-González, Javier Huertas-Tato, Alejandro Martín +1
Computational stylometry studies writing style through quantitative textual patterns, enabling applications such as authorship attribution, identity linking, and plagiarism detecti…
Evaluating the Scalability and Adversarial Generalization of GRPO-Trained NLI Models
Pablo Miralles-González, Javier Huertas-Tato, Alejandro Martín +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 Martín +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…
Not all tokens are created equal: Perplexity Attention Weighted Networks for AI generated text detection
Pablo Miralles-González, Javier Huertas-Tato, Alejandro Martín +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…
Isolating authorship from content with semantic embeddings and contrastive learning
Javier Huertas-Tato, Adrián Girón-Jiménez, Alejandro Martín +1
Authorship has entangled style and content inside. Authors frequently write about the same topics in the same style, so when different authors write about the exact same topic the…
Camouflage is all you need: Evaluating and Enhancing Language Model Robustness Against Camouflage Adversarial Attacks
Álvaro Huertas-García, Alejandro Martín, Javier Huertas-Tato +1
Adversarial attacks represent a substantial challenge in Natural Language Processing (NLP). This study undertakes a systematic exploration of this challenge in two distinct phases:…
Understanding writing style in social media with a supervised contrastively pre-trained transformer
Javier Huertas-Tato, Alejandro Martin, David Camacho
Online Social Networks serve as fertile ground for harmful behavior, ranging from hate speech to the dissemination of disinformation. Malicious actors now have unprecedented freedo…
Countering Malicious Content Moderation Evasion in Online Social Networks: Simulation and Detection of Word Camouflage
Álvaro Huertas-García, Alejandro Martín, Javier Huertas Tato +1
Content moderation is the process of screening and monitoring user-generated content online. It plays a crucial role in stopping content resulting from unacceptable behaviors such…
PART: Pre-trained Authorship Representation Transformer
Javier Huertas-Tato, Alejandro Martin, David Camacho
Authors writing documents imprint identifying information within their texts: vocabulary, registry, punctuation, misspellings, or even emoji usage. Previous works use hand-crafted…
Exploring Dimensionality Reduction Techniques in Multilingual Transformers
Álvaro Huertas-García, Alejandro Martín, Javier Huertas-Tato +1
Both in scientific literature and in industry,, Semantic and context-aware Natural Language Processing-based solutions have been gaining importance in recent years. The possibiliti…
BERTuit: Understanding Spanish language in Twitter through a native transformer
Javier Huertas-Tato, Alejandro Martin, David Camacho
The appearance of complex attention-based language models such as BERT, Roberta or GPT-3 has allowed to address highly complex tasks in a plethora of scenarios. However, when appli…
FacTeR-Check: Semi-automated fact-checking through Semantic Similarity and Natural Language Inference
Alejandro Martín, Javier Huertas-Tato, Álvaro Huertas-García +2
Our society produces and shares overwhelming amounts of information through Online Social Networks (OSNs). Within this environment, misinformation and disinformation have prolifera…
SILT: Efficient transformer training for inter-lingual inference
Javier Huertas-Tato, Alejandro Martín, David Camacho
The ability of transformers to perform precision tasks such as question answering, Natural Language Inference (NLI) or summarising, have enabled them to be ranked as one of the bes…