3 papers
cs.CL2026
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…
cs.CL2025
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…
cs.CL2025
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…