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20242026
most citedMultiple Choice Questions: Reasoning Makes Large Language Models (LLMs) More Self-Confident, Especially When They are Wrong

2 citations · 2 across the 5 of their papers we have counts for

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7 papers · 1 filter

cs.AI2026

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

Tairan Fu, Javier Conde, Carlos Arriaga +5

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.AI2026

Beyond Reproducibility: Token Probabilities Expose Large Language Model Nondeterminism

Tairan Fu, Gonzalo Martínez, Javier Conde +4

The execution of Large Language Models (LLMs) has been shown to produce nondeterministic results when run on Graphics Processing Units (GPUs), even when they are configured to prod…

cs.AI2025

Stochastic Streets: A Walk Through Random LLM Address Generation in four European Cities

Tairan Fu, David Campo-Nazareno, Javier Coronado-Blázquez +3

Large Language Models (LLMs) are capable of solving complex math problems or answer difficult questions on almost any topic, but can they generate random street addresses for Europ…

cs.AI2025

Concurrent Linguistic Error Detection (CLED): a New Methodology for Error Detection in Large Language Models

Jinhua Zhu, Javier Conde, Zhen Gao +3

The wide adoption of Large language models (LLMs) makes their dependability a pressing concern. Detection of errors is the first step to mitigating their impact on a system and thu…

cs.AI2025

The Generative Energy Arena (GEA): Incorporating Energy Awareness in Large Language Model (LLM) Human Evaluations

Carlos Arriaga, Gonzalo Martínez, Eneko Sendin +2

The evaluation of large language models is a complex task, in which several approaches have been proposed. The most common is the use of automated benchmarks in which LLMs have to…

cs.AI2025

Real-time Spatial Retrieval Augmented Generation for Urban Environments

David Nazareno Campo, Javier Conde, Álvaro Alonso +3

The proliferation of Generative Artificial Ingelligence (AI), especially Large Language Models, presents transformative opportunities for urban applications through Urban Foundatio…