3 citations · 4 across the 6 of their papers we have counts for
6 papers
Lost in the Evidence? Reproducing Document Position and Context Size Effects in RAG
Jorge Gabín, Anxo Perez, Javier Parapar
Retrieval-Augmented Generation (RAG) systems rely on retrieved documents being concatenated into a model's input context, making both document ordering and context size critical ye…
PartisanLens: A Multilingual Dataset of Hyperpartisan and Conspiratorial Immigration Narratives in European Media
Michele Joshua Maggini, Paloma Piot, Anxo Pérez +6
Detecting hyperpartisan narratives and Population Replacement Conspiracy Theories (PRCT) is essential to addressing the spread of misinformation. These complex narratives pose a si…
Conversations in Galician: a Large Language Model for an Underrepresented Language
Eliseo Bao, Anxo Pérez, Javier Parapar
The recent proliferation of Large Conversation Language Models has highlighted the economic significance of widespread access to this type of AI technologies in the current informa…
Explainable Depression Symptom Detection in Social Media
Eliseo Bao, Anxo Pérez, Javier Parapar
Users of social platforms often perceive these sites as supportive spaces to post about their mental health issues. Those conversations contain important traces about individuals'…
DepreSym: A Depression Symptom Annotated Corpus and the Role of LLMs as Assessors of Psychological Markers
Anxo Pérez, Marcos Fernández-Pichel, Javier Parapar +1
Computational methods for depression detection aim to mine traces of depression from online publications posted by Internet users. However, solutions trained on existing collection…
Semantic Similarity Models for Depression Severity Estimation
Anxo Pérez, Neha Warikoo, Kexin Wang +2
Depressive disorders constitute a severe public health issue worldwide. However, public health systems have limited capacity for case detection and diagnosis. In this regard, the w…