2 citations · 5 across the 6 of their papers we have counts for
7 papers
What Human-AI Interaction Leaves Behind: Residual Human States -- A Trajectory-Based Framework and Multi-Study Analysis
David Herrera-Poyatos, Carlos Peláez-González, Cristina Zuheros +1
Human-AI Interaction is commonly evaluated by what an artificial agent enables during use, yet interaction can also alter the human who acts next. We introduce Residual Human State…
Triadic Fusion of Cognitive, Functional, and Causal Dimensions for Explainable LLMs: The TAXAL Framework
David Herrera-Poyatos, Carlos Peláez-González, Cristina Zuheros +3
Large Language Models (LLMs) are increasingly being deployed in high-risk domains where opacity, bias, and instability undermine trust and accountability. Traditional explainabilit…
A Domain-Based Taxonomy of Jailbreak Vulnerabilities in Large Language Models
Carlos Peláez-González, Andrés Herrera-Poyatos, Cristina Zuheros +3
The study of large language models (LLMs) is a key area in open-world machine learning. Although LLMs demonstrate remarkable natural language processing capabilities, they also fac…
An overview of model uncertainty and variability in LLM-based sentiment analysis. Challenges, mitigation strategies and the role of explainability
David Herrera-Poyatos, Carlos Peláez-González, Cristina Zuheros +4
Large Language Models (LLMs) have significantly advanced sentiment analysis, yet their inherent uncertainty and variability pose critical challenges to achieving reliable and consi…
The H-Elena Trojan Virus to Infect Model Weights: A Wake-Up Call on the Security Risks of Malicious Fine-Tuning
Virilo Tejedor, Cristina Zuheros, Carlos Peláez-González +3
Large Language Models (LLMs) offer powerful capabilities in text generation and are increasingly adopted across a wide range of domains. However, their open accessibility and fine-…
Deep Learning methodology for the identification of wood species using high-resolution macroscopic images
David Herrera-Poyatos, Andrés Herrera-Poyatos, Rosana Montes +5
Significant advancements in the field of wood species identification are needed worldwide to support sustainable timber trade. In this work we contribute to automate the identifica…
Large language models for crowd decision making based on prompt design strategies using ChatGPT: models, analysis and challenges
David Herrera-Poyatos, Cristina Zuheros, Rosana Montes +1
Social Media and Internet have the potential to be exploited as a source of opinion to enrich Decision Making solutions. Crowd Decision Making (CDM) is a methodology able to infer…