activity
20222026
most citedClassification of Fermi-LAT unidentified gamma-ray sources using CatBoost gradient boosting decision trees

26 citations · 49 across the 9 of their papers we have counts for

collaborators

9 papers

cs.AI2026

Beyond the Hivemind: Escaping LLM Homogeneity via Meta-Persona Anchoring and Sequential Temperature Scaling

Tairan Fu, Javier Conde, Carlos Arriaga +3

Recent studies have identified an ``Artificial Hivemind'' effect in Large Language Models (LLMs) causing models to converge on a narrow, homogenized consensus even for open questio…

cs.CL2026

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…

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…

cs.CL2024

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…

astro-ph.HE2023★ 12 cited

Redshift prediction of Fermi-LAT gamma-ray sources using CatBoost gradient boosting decision trees

Javier Coronado-Blázquez

The determination of distance is fundamental in astrophysics. Gamma-ray sources are poorly characterized in this sense, as the limited angular resolution and poor photon-count stat…

astro-ph.HE2022★ 26 cited

Classification of Fermi-LAT unidentified gamma-ray sources using CatBoost gradient boosting decision trees

Javier Coronado-Blázquez

The latest -LAT gamma-ray catalog, 4FGL-DR3, presents a large fraction of sources without clear association to known counterparts, i.e., unidentified sources (unIDs…

astro-ph.HE2022★ 11 cited

Search for new cosmic-ray acceleration sites within the 4FGL catalog Galactic plane sources

LAT Collaboration, S. Abdollahi, F. Acero +117

Cosmic rays are mostly composed of protons accelerated to relativistic speeds. When those protons encounter interstellar material, they produce neutral pions which in turn decay in…