1 citations · 1 across the 7 of their papers we have counts for
7 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…
Learning Evidence of Depression Symptoms via Prompt Induction
Eliseo Bao, Anxo Perez, David Otero +1
Depression places substantial pressure on mental health services, and many people describe their experiences outside clinical settings in high-volume user-generated text (e.g., onl…
Eval4Sim: An Evaluation Framework for Persona Simulation
Eliseo Bao, Anxo Perez, Javier Parapar +1
Large Language Model personas, explicit profiles specifying a user's attributes, preferences, and behavioural tendencies, are increasingly used to simulate human conversations for…
TalkDep: Clinically Grounded LLM Personas for Conversation-Centric Depression Screening
Xi Wang, Anxo Perez, Javier Parapar +1
The increasing demand for mental health services has outpaced the availability of real training data to develop clinical professionals, leading to limited support for the diagnosis…
ReDSM5: A Reddit Dataset for DSM-5 Depression Detection
Eliseo Bao, Anxo Pérez, Javier Parapar
Depression is a pervasive mental health condition that affects hundreds of millions of individuals worldwide, yet many cases remain undiagnosed due to barriers in traditional clini…
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'…