2 citations · 2 across the 7 of their papers we have counts for
4 papers · 1 filter
Mass-Scale Analysis of In-the-Wild Conversations Reveals Complexity Bounds on LLM Jailbreaking
Aldan Creo, Raul Castro Fernandez, Manuel Cebrian
As large language models (LLMs) become increasingly deployed, understanding the complexity and evolution of jailbreaking strategies is critical for AI safety. We present a mass-sca…
Ask a Local: Detecting Hallucinations With Specialized Model Divergence
Aldan Creo, Héctor Cerezo-Costas, Pedro Alonso-Doval +1
Hallucinations in large language models (LLMs) - instances where models generate plausible but factually incorrect information - present a significant challenge for AI. We introduc…
SilverSpeak: Evading AI-Generated Text Detectors using Homoglyphs
Aldan Creo, Shushanta Pudasaini
The advent of Large Language Models (LLMs) has enabled the generation of text that increasingly exhibits human-like characteristics. As the detection of such content is of signific…
Prompting LLMs with content plans to enhance the summarization of scientific articles
Aldan Creo, Manuel Lama, Juan C. Vidal
This paper presents novel prompting techniques to improve the performance of automatic summarization systems for scientific articles. Scientific article summarization is highly cha…