:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autores principales:	Zahid, Farzana, Sewwandi, Anjalika, Brandon, Lee, Kumar, Vimal, Sinha, Roopak
Formato:	Preprint
Publicado:	2025
Materias:	Computers and Society Artificial Intelligence
Acceso en línea:	https://arxiv.org/abs/2508.08629
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Ambiguity Collapse by LLMs: A Taxonomy of Epistemic Risks
por: Gur-Arieh, Shira, et al.
Publicado: (2026)

Interpretability Framework for LLMs in Undergraduate Calculus
por: Dakshit, Sagnik, et al.
Publicado: (2025)

Navigating Pitfalls: Evaluating LLMs in Machine Learning Programming Education
por: Kumar, Smitha, et al.
Publicado: (2025)

Trustworthiness of Legal Considerations for the Use of LLMs in Education
por: Alaswad, Sara, et al.
Publicado: (2025)

Show, Don't Tell: Uncovering Implicit Character Portrayal using LLMs
por: Jaipersaud, Brandon, et al.
Publicado: (2024)

Automated Assessment of Students' Code Comprehension using LLMs
por: Oli, Priti, et al.
Publicado: (2023)

Evaluating the Capabilities of LLMs for Supporting Anticipatory Impact Assessment
por: Allaham, Mowafak, et al.
Publicado: (2024)

Toward a Public and Secure Generative AI: A Comparative Analysis of Open and Closed LLMs
por: Machado, Jorge
Publicado: (2025)

Global Challenge for Safe and Secure LLMs Track 1
por: Jia, Xiaojun, et al.
Publicado: (2024)

Mapping AI Risk Mitigations: Evidence Scan and Preliminary AI Risk Mitigation Taxonomy
por: Saeri, Alexander K., et al.
Publicado: (2025)

Wikipedia in the Era of LLMs: Evolution and Risks
por: Huang, Siming, et al.
Publicado: (2025)

MediTools -- Medical Education Powered by LLMs
por: Alshatnawi, Amr, et al.
Publicado: (2025)

Iterative Topic Taxonomy Induction with LLMs: A Case Study of Electoral Advertising
por: Brady, Alexander, et al.
Publicado: (2025)

No Size Fits All: The Perils and Pitfalls of Leveraging LLMs Vary with Company Size
por: Urlana, Ashok, et al.
Publicado: (2024)

Adoption and Use of LLMs at an Academic Medical Center
por: Shah, Nigam H., et al.
Publicado: (2026)

Leveraging Prompts in LLMs to Overcome Imbalances in Complex Educational Text Data
por: McClure, Jeanne, et al.
Publicado: (2024)

Do LLMs Favor LLMs? Quantifying Interaction Effects in Peer Review
por: Sharma, Vibhhu, et al.
Publicado: (2026)

Risk-Adjusted Harm Scoring for Automated Red Teaming for LLMs in Financial Services
por: Dimino, Fabrizio, et al.
Publicado: (2026)

Aligning Trustworthy AI with Democracy: A Dual Taxonomy of Opportunities and Risks
por: Mentxaka, Oier, et al.
Publicado: (2025)

ELEPHANT: Measuring and understanding social sycophancy in LLMs
por: Cheng, Myra, et al.
Publicado: (2025)

COMPASS: A Framework for Evaluating Organization-Specific Policy Alignment in LLMs
por: Choi, Dasol, et al.
Publicado: (2026)

LLMs as Strategic Actors: Behavioral Alignment, Risk Calibration, and Argumentation Framing in Geopolitical Simulations
por: Solopova, Veronika, et al.
Publicado: (2026)

WHBench: Evaluating Frontier LLMs with Expert-in-the-Loop Validation on Women's Health Topics
por: Maurya, Sneha, et al.
Publicado: (2026)

LLMs' Leaning in European Elections
por: Ricciuti, Federico
Publicado: (2025)

Integrating LLMs in Gamified Systems
por: Costa, Carlos J.
Publicado: (2025)

Responsible AI Question Bank: A Comprehensive Tool for AI Risk Assessment
por: Lee, Sung Une, et al.
Publicado: (2024)

Assessing the Performance of Human-Capable LLMs -- Are LLMs Coming for Your Job?
por: Mavi, John, et al.
Publicado: (2024)

A Conditional Companion: Lived Experiences of People with Mental Health Disorders Using LLMs
por: Purohit, Aditya Kumar, et al.
Publicado: (2026)

A Survey on Responsible LLMs: Inherent Risk, Malicious Use, and Mitigation Strategy
por: Wang, Huandong, et al.
Publicado: (2025)

When AI Fails, What Works? A Data-Driven Taxonomy of Real-World AI Risk Mitigation Strategies
por: Popchanovska, Evgenija, et al.
Publicado: (2026)

Labeling Synthetic Content: User Perceptions of Warning Label Designs for AI-generated Content on Social Media
por: Gamage, Dilrukshi, et al.
Publicado: (2025)

The simulation of judgment in LLMs
por: Loru, Edoardo, et al.
Publicado: (2025)

Measuring Teaching with LLMs
por: Hardy, Michael
Publicado: (2025)

The Political Preferences of LLMs
por: Rozado, David
Publicado: (2024)

Automated Feedback in Math Education: A Comparative Analysis of LLMs for Open-Ended Responses
por: Baral, Sami, et al.
Publicado: (2024)

A time for monsters: Organizational knowing after LLMs
por: Faraj, Samer, et al.
Publicado: (2025)

Implicit Bias in LLMs for Transgender Populations
por: Hirsch, Micaela, et al.
Publicado: (2026)

Online Advertisements with LLMs: Opportunities and Challenges
por: Feizi, Soheil, et al.
Publicado: (2023)

Persuadability and LLMs as Legal Decision Tools
por: Suttle, Oisin, et al.
Publicado: (2026)

Are LLMs More Skeptical of Entertainment News?
por: Lai, Huiqian
Publicado: (2026)