14 citations · 32 across the 5 of their papers we have counts for
5 papers
Speed and Conversational Large Language Models: Not All Is About Tokens per Second
Javier Conde, Miguel González, Pedro Reviriego +3
The speed of open-weights large language models (LLMs) and its dependency on the task at hand, when run on GPUs, is studied to present a comparative analysis of the speed of the mo…
Understanding the Impact of Artificial Intelligence in Academic Writing: Metadata to the Rescue
Javier Conde, Pedro Reviriego, Joaquín Salvachúa +3
This column advocates for including artificial intelligence (AI)-specific metadata on those academic papers that are written with the help of AI in an attempt to analyze the use of…
Can ChatGPT Learn to Count Letters?
Javier Conde, Gonzalo Martínez, Pedro Reviriego +3
Large language models (LLMs) struggle on simple tasks such as counting the number of occurrences of a letter in a word. In this paper, we investigate if ChatGPT can learn to count…
Analyzing Recursiveness in Multimodal Generative Artificial Intelligence: Stability or Divergence?
Javier Conde, Tobias Cheung, Gonzalo Martínez +2
One of the latest trends in generative Artificial Intelligence is tools that generate and analyze content in different modalities, such as text and images, and convert information…
Evaluating Large Language Models with Tests of Spanish as a Foreign Language: Pass or Fail?
Marina Mayor-Rocher, Nina Melero, Elena Merino-Gómez +3
Large Language Models (LLMs) have been profusely evaluated on their ability to answer questions on many topics and their performance on different natural language understanding tas…