Guardado en:
| Autores principales: | Conde, Javier, Reviriego, Pedro, Salvachúa, Joaquín, Martínez, Gonzalo, Hernández, José Alberto, Lombardi, Fabrizio |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | https://arxiv.org/abs/2502.16713 |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Can ChatGPT Learn to Count Letters?
por: Conde, Javier, et al.
Publicado: (2025)
por: Conde, Javier, et al.
Publicado: (2025)
Real-time Spatial Retrieval Augmented Generation for Urban Environments
por: Campo, David Nazareno, et al.
Publicado: (2025)
por: Campo, David Nazareno, et al.
Publicado: (2025)
Playing with words: Comparing the vocabulary and lexical diversity of ChatGPT and humans
por: Reviriego, Pedro, et al.
Publicado: (2023)
por: Reviriego, Pedro, et al.
Publicado: (2023)
Is There a Case for Conversation Optimized Tokenizers in Large Language Models?
por: Ferrando, Raquel, et al.
Publicado: (2025)
por: Ferrando, Raquel, et al.
Publicado: (2025)
Speed and Conversational Large Language Models: Not All Is About Tokens per Second
por: Conde, Javier, et al.
Publicado: (2025)
por: Conde, Javier, et al.
Publicado: (2025)
Stochastic Streets: A Walk Through Random LLM Address Generation in four European Cities
por: Fu, Tairan, et al.
Publicado: (2025)
por: Fu, Tairan, et al.
Publicado: (2025)
Concurrent Linguistic Error Detection (CLED): a New Methodology for Error Detection in Large Language Models
por: Zhu, Jinhua, et al.
Publicado: (2024)
por: Zhu, Jinhua, et al.
Publicado: (2024)
Multiple Choice Questions: Reasoning Makes Large Language Models (LLMs) More Self-Confident, Especially When They are Wrong
por: Fu, Tairan, et al.
Publicado: (2025)
por: Fu, Tairan, et al.
Publicado: (2025)
The Generative Energy Arena (GEA): Incorporating Energy Awareness in Large Language Model (LLM) Human Evaluations
por: Arriaga, Carlos, et al.
Publicado: (2025)
por: Arriaga, Carlos, et al.
Publicado: (2025)
Energy-Efficient Stochastic Computing (SC) Neural Networks for Internet of Things Devices With Layer-Wise Adjustable Sequence Length (ASL)
por: Wang, Ziheng, et al.
Publicado: (2025)
por: Wang, Ziheng, et al.
Publicado: (2025)
Psycholinguistic Word Features: a New Approach for the Evaluation of LLMs Alignment with Humans
por: Conde, Javier, et al.
Publicado: (2025)
por: Conde, Javier, et al.
Publicado: (2025)
Beyond Reproducibility: Token Probabilities Expose Large Language Model Nondeterminism
por: Fu, Tairan, et al.
Publicado: (2026)
por: Fu, Tairan, et al.
Publicado: (2026)
How does fine-tuning improve sensorimotor representations in large language models?
por: Wu, Minghua, et al.
Publicado: (2026)
por: Wu, Minghua, et al.
Publicado: (2026)
Analyzing Recursiveness in Multimodal Generative Artificial Intelligence: Stability or Divergence?
por: Conde, Javier, et al.
Publicado: (2024)
por: Conde, Javier, et al.
Publicado: (2024)
Enhanced FIWARE-Based Architecture for Cyberphysical Systems With Tiny Machine Learning and Machine Learning Operations: A Case Study on Urban Mobility Systems
por: Conde, Javier, et al.
Publicado: (2024)
por: Conde, Javier, et al.
Publicado: (2024)
Lost in Sampling: Assessing Lexical Reachability in LLMs via the Word Coverage Score (WCS)
por: Awad, Samer, et al.
Publicado: (2026)
por: Awad, Samer, et al.
Publicado: (2026)
Beware of Words: Evaluating the Lexical Diversity of Conversational LLMs using ChatGPT as Case Study
por: Martínez, Gonzalo, et al.
Publicado: (2024)
por: Martínez, Gonzalo, et al.
Publicado: (2024)
Artificial Intelligence and Misinformation in Art: Can Vision Language Models Judge the Hand or the Machine Behind the Canvas?
por: Fu, Tarian, et al.
Publicado: (2025)
por: Fu, Tarian, et al.
Publicado: (2025)
Spanish and LLM Benchmarks: is MMLU Lost in Translation?
por: Plaza, Irene, et al.
Publicado: (2024)
por: Plaza, Irene, et al.
Publicado: (2024)
Adaptive Resolution Inference (ARI): Energy-Efficient Machine Learning for Internet of Things
por: Wang, Ziheng, et al.
Publicado: (2024)
por: Wang, Ziheng, et al.
Publicado: (2024)
Understanding Biology in the Age of Artificial Intelligence
por: Lawrence, Elsa, et al.
Publicado: (2024)
por: Lawrence, Elsa, et al.
Publicado: (2024)
Selective Memory for Artificial Intelligence: Write-Time Gating with Hierarchical Archiving
por: Zahn, Oliver, et al.
Publicado: (2026)
por: Zahn, Oliver, et al.
Publicado: (2026)
Generative Artificial Intelligence for Internet of Things Computing: A Systematic Survey
por: Mangione, Fabrizio, et al.
Publicado: (2025)
por: Mangione, Fabrizio, et al.
Publicado: (2025)
Predictable Artificial Intelligence
por: Zhou, Lexin, et al.
Publicado: (2023)
por: Zhou, Lexin, et al.
Publicado: (2023)
The Impact of Modern AI in Metadata Management
por: Yang, Wenli, et al.
Publicado: (2025)
por: Yang, Wenli, et al.
Publicado: (2025)
Specification Overfitting in Artificial Intelligence
por: Roth, Benjamin, et al.
Publicado: (2024)
por: Roth, Benjamin, et al.
Publicado: (2024)
Can Complexity and Uncomputability Explain Intelligence? SuperARC: A Test for Artificial Super Intelligence Based on Recursive Compression
por: Hernández-Espinosa, Alberto, et al.
Publicado: (2025)
por: Hernández-Espinosa, Alberto, et al.
Publicado: (2025)
Towards AI-assisted Academic Writing
por: Liebling, Daniel J., et al.
Publicado: (2025)
por: Liebling, Daniel J., et al.
Publicado: (2025)
To Words and Beyond: Probing Large Language Models for Sentence-Level Psycholinguistic Norms of Memorability and Reading Times
por: Clark, Thomas Hikaru, et al.
Publicado: (2026)
por: Clark, Thomas Hikaru, et al.
Publicado: (2026)
Artificial Intelligence Approaches for Energy Efficiency: A Review
por: Pasqualetto, Alberto, et al.
Publicado: (2024)
por: Pasqualetto, Alberto, et al.
Publicado: (2024)
A Design Framework for operationalizing Trustworthy Artificial Intelligence in Healthcare: Requirements, Tradeoffs and Challenges for its Clinical Adoption
por: Moreno-Sánchez, Pedro A., et al.
Publicado: (2025)
por: Moreno-Sánchez, Pedro A., et al.
Publicado: (2025)
ELAIPBench: A Benchmark for Expert-Level Artificial Intelligence Paper Understanding
por: Dai, Xinbang, et al.
Publicado: (2025)
por: Dai, Xinbang, et al.
Publicado: (2025)
Evaluating Artificial Intelligence Through a Christian Understanding of Human Flourishing
por: Skytland, Nicholas, et al.
Publicado: (2026)
por: Skytland, Nicholas, et al.
Publicado: (2026)
Artificial Intelligence and its Impact on Academic Performance of students with Disabilities in Nasarawa State University, Keffi
por: Osita, Emmanuel Izuchukwu, et al.
Publicado: (2026)
por: Osita, Emmanuel Izuchukwu, et al.
Publicado: (2026)
Establishing Vocabulary Tests as a Benchmark for Evaluating Large Language Models
por: Martínez, Gonzalo, et al.
Publicado: (2023)
por: Martínez, Gonzalo, et al.
Publicado: (2023)
The Six Provenance Metadata Fields per Substrate Write: The Architectural Infrastructure for Path Retraceability in the Coordination Knowledge Substrate Pattern
por: LI, WENXIN
Publicado: (2026)
por: LI, WENXIN
Publicado: (2026)
Is Artificial Intelligence Reshaping the Landscape of the International Academic Community of Geosciences?
por: Li, Liang, et al.
Publicado: (2025)
por: Li, Liang, et al.
Publicado: (2025)
The unification process of databases of categories from all Specific Artificial Intelligences for Artificial Research by Application
por: García Pedraza, Rubén
Publicado: (2025)
por: García Pedraza, Rubén
Publicado: (2025)
The Impact of Artificial Intelligence on Human Thought
por: Gesnot, Rénald
Publicado: (2025)
por: Gesnot, Rénald
Publicado: (2025)
Understanding and Benchmarking Artificial Intelligence: OpenAI's o3 Is Not AGI
por: Pfister, Rolf, et al.
Publicado: (2025)
por: Pfister, Rolf, et al.
Publicado: (2025)
Ejemplares similares
-
Can ChatGPT Learn to Count Letters?
por: Conde, Javier, et al.
Publicado: (2025) -
Real-time Spatial Retrieval Augmented Generation for Urban Environments
por: Campo, David Nazareno, et al.
Publicado: (2025) -
Playing with words: Comparing the vocabulary and lexical diversity of ChatGPT and humans
por: Reviriego, Pedro, et al.
Publicado: (2023) -
Is There a Case for Conversation Optimized Tokenizers in Large Language Models?
por: Ferrando, Raquel, et al.
Publicado: (2025) -
Speed and Conversational Large Language Models: Not All Is About Tokens per Second
por: Conde, Javier, et al.
Publicado: (2025)