26 citations · 49 across the 9 of their papers we have counts for
5 papers · 1 filter
Lost in Sampling: Assessing Lexical Reachability in LLMs via the Word Coverage Score (WCS)
Samer Awad, Javier Conde, Carlos Arriaga +3
Modern Large Language Models (LLMs) are often criticized for producing repetitive and homogeneous text, despite possessing vast latent vocabularies. While previous research has foc…
Large Language Models and Book Summarization: Reading or Remembering, Which Is Better?
Tairan Fu, Javier Conde, Pedro Reviriego +3
Summarization is a core task in Natural Language Processing (NLP). Recent advances in Large Language Models (LLMs) and the introduction of large context windows reaching millions o…
Evaluating book summaries from internal knowledge in Large Language Models: a cross-model and semantic consistency approach
Javier Coronado-Blázquez
We study the ability of large language models (LLMs) to generate comprehensive and accurate book summaries solely from their internal knowledge, without recourse to the original te…
Deterministic or probabilistic? The psychology of LLMs as random number generators
Javier Coronado-Blázquez
Large Language Models (LLMs) have transformed text generation through inherently probabilistic context-aware mechanisms, mimicking human natural language. In this paper, we systema…
A NLP Approach to "Review Bombing" in Metacritic PC Videogames User Ratings
Javier Coronado-Blázquez
Many videogames suffer "review bombing" -a large volume of unusually low scores that in many cases do not reflect the real quality of the product- when rated by users. By taking Me…