:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Zuin, Gianlucca, Mastelini, Saulo, Loures, Túlio, Veloso, Adriano
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence Computers and Society Machine Learning
Online Access:	https://arxiv.org/abs/2507.03811
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

When to ASK: Uncertainty-Gated Language Assistance for Reinforcement Learning
by: Monteiro, Juarez, et al.
Published: (2026)

"A 6 or a 9?": Ensemble Learning Through the Multiplicity of Performant Models and Explanations
by: Zuin, Gianlucca, et al.
Published: (2025)

Enhancing Authorship Attribution with Synthetic Paintings
by: Loures, Clarissa, et al.
Published: (2026)

Navigating Time's Possibilities: Plausible Counterfactual Explanations for Multivariate Time-Series Forecast through Genetic Algorithms
by: Zuin, Gianlucca, et al.
Published: (2026)

A Neuro-Symbolic Explainer for Rare Events: A Case Study on Predictive Maintenance
by: Gama, João, et al.
Published: (2024)

What Do Large Language Models Know? Tacit Knowledge as a Potential Causal-Explanatory Structure
by: Budding, Céline
Published: (2025)

Leveraging Large Language Models for Enhancing Public Transit Services
by: Wang, Jiahao, et al.
Published: (2024)

Epistemic Diversity and Knowledge Collapse in Large Language Models
by: Wright, Dustin, et al.
Published: (2025)

Leveraging Pedagogical Theories to Understand Student Learning Process with Graph-based Reasonable Knowledge Tracing
by: Cui, Jiajun, et al.
Published: (2024)

Defining and Evaluating Physical Safety for Large Language Models
by: Tang, Yung-Chen, et al.
Published: (2024)

LLM4PM: A case study on using Large Language Models for Process Modeling in Enterprise Organizations
by: Ziche, Clara, et al.
Published: (2024)

Evaluating Large Language Models for Fair and Reliable Organ Allocation
by: Kim, Brian Hyeongseok, et al.
Published: (2025)

Existential Conversations with Large Language Models: Content, Community, and Culture
by: Shanahan, Murray, et al.
Published: (2024)

Say My Name: a Model's Bias Discovery Framework
by: Ciranni, Massimiliano, et al.
Published: (2024)

Correlated Errors in Large Language Models
by: Kim, Elliot, et al.
Published: (2025)

Hypothesis Generation with Large Language Models
by: Zhou, Yangqiaoyu, et al.
Published: (2024)

Large Language Models are Geographically Biased
by: Manvi, Rohin, et al.
Published: (2024)

Participatory Assessment of Large Language Model Applications in an Academic Medical Center
by: Carra, Giorgia, et al.
Published: (2024)

Leveraging Social Determinants of Health in Alzheimer's Research Using LLM-Augmented Literature Mining and Knowledge Graphs
by: Shang, Tianqi, et al.
Published: (2024)

The LLM Has Left The Chat: Evidence of Bail Preferences in Large Language Models
by: Ensign, Danielle, et al.
Published: (2025)

Mechanistic Interpretability with SAEs: Probing Religion, Violence, and Geography in Large Language Models
by: Simbeck, Katharina, et al.
Published: (2025)

Harnessing Large Language Models for Mental Health: Opportunities, Challenges, and Ethical Considerations
by: Pandey, Hari Mohan
Published: (2024)

Psychological Counseling Ability of Large Language Models
by: Peng, Fangyu, et al.
Published: (2025)

Assessing Large Language Models on Climate Information
by: Bulian, Jannis, et al.
Published: (2023)

Approaches to Responsible Governance of GenAI in Organizations
by: Gandhi, Dhari, et al.
Published: (2025)

Deep Learning Opacity in Scientific Discovery
by: Duede, Eamon
Published: (2022)

Machine Learners Should Acknowledge the Legal Implications of Large Language Models as Personal Data
by: Nolte, Henrik, et al.
Published: (2025)

Addressing Label Leakage in Knowledge Tracing Models
by: Badran, Yahya, et al.
Published: (2024)

Knowledge Boundary Discovery for Large Language Models
by: Wang, Ziquan, et al.
Published: (2026)

A Taxonomy of Stereotype Content in Large Language Models
by: Nicolas, Gandalf, et al.
Published: (2024)

Bias and Fairness in Large Language Models: A Survey
by: Gallegos, Isabel O., et al.
Published: (2023)

Transforming Agency. On the mode of existence of Large Language Models
by: Barandiaran, Xabier E., et al.
Published: (2024)

LLMCarbon: Modeling the end-to-end Carbon Footprint of Large Language Models
by: Faiz, Ahmad, et al.
Published: (2023)

PropensityBench: Evaluating Latent Safety Risks in Large Language Models via an Agentic Approach
by: Sehwag, Udari Madhushani, et al.
Published: (2025)

Evaluating Retrieval-Augmented Generation Strategies for Large Language Models in Travel Mode Choice Prediction
by: Xu, Yiming, et al.
Published: (2025)

Assessing Social Alignment: Do Personality-Prompted Large Language Models Behave Like Humans?
by: Zakazov, Ivan, et al.
Published: (2024)

Survey on Plagiarism Detection in Large Language Models: The Impact of ChatGPT and Gemini on Academic Integrity
by: Pudasaini, Shushanta, et al.
Published: (2024)

ResumeAtlas: Revisiting Resume Classification with Large-Scale Datasets and Large Language Models
by: Heakl, Ahmed, et al.
Published: (2024)

AAKT: Enhancing Knowledge Tracing with Alternate Autoregressive Modeling
by: Zhou, Hao, et al.
Published: (2025)

Foundational Challenges in Assuring Alignment and Safety of Large Language Models
by: Anwar, Usman, et al.
Published: (2024)