:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Larosa, Francesca, Hoyas, Sergio, Conejero, H. Alberto, Garcia-Martinez, Javier, Nerini, Francesco Fuso, Vinuesa, Ricardo
Format:	Preprint
Published:	2025
Subjects:	Computers and Society
Online Access:	https://arxiv.org/abs/2502.02191
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Critical misalignments in climate pledges reveal imbalanced sustainable development pathways
by: Larosa, Francesca, et al.
Published: (2025)

Exploring the interplay between Planetary Boundaries and Sustainable Development Goals using Large Language Models
by: Rhomrasi, Lamyae, et al.
Published: (2025)

Classically studied coherent structures only paint a partial picture of wall-bounded turbulence
by: Cremades, Andrés, et al.
Published: (2024)

Utilizing indicator functions with computational data to confirm nature of overlap in normal turbulent stresses: logarithmic or quarter-power
by: Nagib, Hassan, et al.
Published: (2024)

Additive-feature-attribution methods: a review on explainable artificial intelligence for fluid dynamics and heat transfer
by: Cremades, Andrés, et al.
Published: (2024)

Efficiency Will Not Lead to Sustainable Reasoning AI
by: Wiesner, Philipp, et al.
Published: (2025)

The opportunities and risks of large language models in mental health
by: Lawrence, Hannah R., et al.
Published: (2024)

Sensitivity study of resolution and convergence requirements for extended overlap region in wall-bounded turbulence
by: Hoyas, Sergio, et al.
Published: (2023)

Higher DNS-resolution requirements for expanded overlap region and confirmation of a convergence criterion
by: Hoyas, Sergio, et al.
Published: (2024)

Large language models accurately predict public perceptions of support for climate action worldwide
by: Powdthavee, Nattavudh, et al.
Published: (2026)

What can large language models do for sustainable food?
by: Thomas, Anna T., et al.
Published: (2025)

From artificial to circular intelligence to support the well-being of our habitat
by: Larosa, Francesca, et al.
Published: (2025)

Large language models for mental health
by: Triantafyllopoulos, Andreas, et al.
Published: (2024)

Explainable deep learning reveals the physical mechanisms behind the turbulent kinetic energy equation
by: Alcántara-Ávila, Francisco, et al.
Published: (2026)

Comparing diversity, negativity, and stereotypes in Chinese-language AI technologies: an investigation of Baidu, Ernie and Qwen
by: Liu, Geng, et al.
Published: (2024)

Explainable AI: Learning from the Learners
by: Vinuesa, Ricardo, et al.
Published: (2026)

Large language models in medicine: the potentials and pitfalls
by: Omiye, Jesutofunmi A., et al.
Published: (2023)

The dimensions of accessibility: proximity, opportunities, values
by: Bruno, Matteo, et al.
Published: (2025)

Large language models can help boost food production, but be mindful of their risks
by: De Clercq, Djavan, et al.
Published: (2024)

Large-scale moral machine experiment on large language models
by: Ahmad, Muhammad Shahrul Zaim bin, et al.
Published: (2024)

Evaluating Visual Mathematics in Multimodal LLMs: A Multilingual Benchmark Based on the Kangaroo Tests
by: Sáez, Arnau Igualde, et al.
Published: (2025)

Large language models eroding science understanding: an experimental study
by: Collins, Harry, et al.
Published: (2026)

A semantic embedding space based on large language models for modelling human beliefs
by: Lee, Byunghwee, et al.
Published: (2024)

Methodological opportunities for mitigating climate change in complex food systems
by: van der Linden, Erik, et al.
Published: (2026)

Large language models that replace human participants can harmfully misportray and flatten identity groups
by: Wang, Angelina, et al.
Published: (2024)

A large language model-based approach to quantifying the effects of social determinants in liver transplant decisions
by: Robitschek, Emily, et al.
Published: (2024)

Large language models perpetuate bias in palliative care: development and analysis of the Palliative Care Adversarial Dataset (PCAD)
by: Akhras, Naomi, et al.
Published: (2025)

Large language models for spreading dynamics in complex systems
by: Jiang, Shuyu, et al.
Published: (2026)

Using large language models to promote health equity
by: Pierson, Emma, et al.
Published: (2023)

Strategies of cooperation and defection in five large language models
by: Pal, Saptarshi, et al.
Published: (2026)

Large language models can consistently generate high-quality content for election disinformation operations
by: Williams, Angus R., et al.
Published: (2024)

Uncovering inequalities in new knowledge learning by large language models across different languages
by: Wang, Chenglong, et al.
Published: (2025)

LLMorphism: When humans come to see themselves as language models
by: Capraro, Valerio
Published: (2026)

Artificial intelligence, rationalization, and the limits of control in the public sector: the case of tax policy optimization
by: Mokander, Jakob, et al.
Published: (2024)

Recourse for reclamation: Chatting with generative language models
by: Chien, Jennifer, et al.
Published: (2024)

AI-AI Bias: large language models favor communications generated by large language models
by: Laurito, Walter, et al.
Published: (2024)

Evaluating Chinese Large Language Models: The Influence of Persona Assignment on Stereotypes and Safeguards
by: Liu, Geng, et al.
Published: (2025)

Retrieval-augmented reasoning with lean language models
by: Chan, Ryan Sze-Yin, et al.
Published: (2025)

Do Chinese models speak Chinese languages?
by: Wen-Yi, Andrea W, et al.
Published: (2025)

Failure of contextual invariance in large language models
by: Kumar, Sagar, et al.
Published: (2026)