activity
20142024
most citedEvaluating Search Engines and Large Language Models for Answering Health Questions

31 citations · 55 across the 5 of their papers we have counts for

collaborators

5 papers

cs.AI2024

ChatGPT as a Solver and Grader of Programming Exams written in Spanish

Pablo Saborido-Fernández, Marcos Fernández-Pichel, David E. Losada

Evaluating the capabilities of Large Language Models (LLMs) to assist teachers and students in educational tasks is receiving increasing attention. In this paper, we assess ChatGPT…

cs.IR2024★ 31 cited

Evaluating Search Engines and Large Language Models for Answering Health Questions

Marcos Fernández-Pichel, Juan C. Pichel, David E. Losada

Search engines (SEs) have traditionally been primary tools for information seeking, but the new Large Language Models (LLMs) are emerging as powerful alternatives, particularly for…

cs.CL2023★ 3 cited

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…

cs.IR2019★ 20 cited

Using Score Distributions to Compare Statistical Significance Tests for Information Retrieval Evaluation

Javier Parapar, David E. Losada, Manuel A. Presedo-Quindimil +1

Statistical significance tests can provide evidence that the observed difference in performance between two methods is not due to chance. In Information Retrieval, some studies hav…

cs.AI2014★ 1 cited

The probatilistic Quantifier Fuzzification Mechanism FA: A theoretical analysis

Felix Diaz-Hermida, Alberto Bugarin, David E. Losada

The main goal of this work is to analyze the behaviour of the FA quantifier fuzzification mechanism. As we prove in the paper, this model has a very solid theorethical behaviour, s…