Cover Image

A Comparative Analysis on Ethical Benchmarking in Large Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Sam, Kira, Vavekanand, Raja
Format:	Preprint
Published:	2024
Subjects:	Computers and Society
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

CELLM: An Efficient Communication in Large Language Models Training for Federated Learning
by: Vavekanand, Raja, et al.
Published: (2024)

Gravix: Active Learning for Gravitational Waves Classification Algorithms
by: Vavekanand, Raja, et al.
Published: (2024)

UAV Networks Surveillance Implementing an Effective Load-Aware Multipath Routing Protocol (ELAMRP)
by: Vavekanand, Raja, et al.
Published: (2024)

Analyzing the Ethical Logic of Six Large Language Models
by: Neuman, W. Russell, et al.
Published: (2025)

Ethical Risks in Deploying Large Language Models: An Evaluation of Medical Ethics Jailbreaking
by: Huang, Chutian, et al.
Published: (2026)

Ethics Whitepaper: Whitepaper on Ethical Research into Large Language Models
by: Ungless, Eddie L., et al.
Published: (2024)

Ethical Risks of Large Language Models in Medical Consultation: An Assessment Based on Reproductive Ethics
by: Xu, Hanhui, et al.
Published: (2026)

LocalValueBench: A Collaboratively Built and Extensible Benchmark for Evaluating Localized Value Alignment and Ethical Safety in Large Language Models
by: Meadows, Gwenyth Isobel, et al.
Published: (2024)

Towards Trustworthy AI: A Review of Ethical and Robust Large Language Models
by: Ferdaus, Md Meftahul, et al.
Published: (2024)

Benchmarking Large Language Models on Homework Assessment in Circuit Analysis
by: Chen, Liangliang, et al.
Published: (2025)

Addressing Moral Uncertainty using Large Language Models for Ethical Decision-Making
by: Dubey, Rohit K., et al.
Published: (2025)

REBAR: Reference Ethical Benchmark for Autonomy Readiness
by: Diller, Jonathan, et al.
Published: (2026)

Human Simulacra: Benchmarking the Personification of Large Language Models
by: Xie, Qiuejie, et al.
Published: (2024)

Beyond Partisan Leaning: A Comparative Analysis of Political Bias in Large Language Models
by: Peng, Tai-Quan, et al.
Published: (2024)

TRIAGE: Ethical Benchmarking of AI Models Through Mass Casualty Simulations
by: Kirch, Nathalie Maria, et al.
Published: (2024)

CDEval: A Benchmark for Measuring the Cultural Dimensions of Large Language Models
by: Wang, Yuhang, et al.
Published: (2023)

"Pull or Not to Pull?'': Investigating Moral Biases in Leading Large Language Models Across Ethical Dilemmas
by: Ding, Junchen, et al.
Published: (2025)

Denevil: Towards Deciphering and Navigating the Ethical Values of Large Language Models via Instruction Learning
by: Duan, Shitong, et al.
Published: (2023)

The Ethical Compass of the Machine: Evaluating Large Language Models for Decision Support in Construction Project Management
by: Azie, Somtochukwu, et al.
Published: (2025)

Bilingual Bias in Large Language Models: A Taiwan Sovereignty Benchmark Study
by: Ko, Ju-Chun
Published: (2026)

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

Safety and Security Analysis of Large Language Models: Benchmarking Risk Profile and Harm Potential
by: Akiri, Charankumar, et al.
Published: (2025)

Quantifying Risk Propensities of Large Language Models: Ethical Focus and Bias Detection through Role-Play
by: Zeng, Yifan, et al.
Published: (2024)

Better Call GPT, Comparing Large Language Models Against Lawyers
by: Martin, Lauren, et al.
Published: (2024)

Large Language Models in Architecture Studio: A Framework for Learning Outcomes
by: Rodriguez, Juan David Salazar, et al.
Published: (2025)

Benchmarking Political Persuasion Risks Across Frontier Large Language Models
by: Chen, Zhongren, et al.
Published: (2026)

Comparing Rationality Between Large Language Models and Humans: Insights and Open Questions
by: Alsagheer, Dana, et al.
Published: (2024)

Evaluating Large Language Models on Spatial Tasks: A Multi-Task Benchmarking Study
by: Xu, Liuchang, et al.
Published: (2024)

Characterizing Bias: Benchmarking Large Language Models in Simplified versus Traditional Chinese
by: Lyu, Hanjia, et al.
Published: (2025)

Applying Large Language Models to Travel Satisfaction Analysis
by: Xu, Pengfei, et al.
Published: (2025)

WinoQueer: A Community-in-the-Loop Benchmark for Anti-LGBTQ+ Bias in Large Language Models
by: Felkner, Virginia K., et al.
Published: (2023)

Learning Cybersecurity vs. Ethical Hacking: A Comparative Pathway for Aspiring Students
by: Quttainah, Fahed
Published: (2025)

EthicsMH: A Pilot Benchmark for Ethical Reasoning in Mental Health AI
by: Kasu, Sai Kartheek Reddy
Published: (2025)

Beyond Personhood: Agency, Accountability, and the Limits of Anthropomorphic Ethical Analysis
by: Dai, Jessica
Published: (2024)

AccessEval: Benchmarking Disability Bias in Large Language Models
by: Panda, Srikant, et al.
Published: (2025)

DarkBench: Benchmarking Dark Patterns in Large Language Models
by: Kran, Esben, et al.
Published: (2025)

Evaluating Digital Inclusiveness of Digital Agri-Food Tools Using Large Language Models: A Comparative Analysis Between Human and AI-Based Evaluations
by: Pewinya, Githma, et al.
Published: (2026)

IDEAlign: Comparing Large Language Models to Human Experts in Open-ended Interpretive Annotations
by: Nam, Hyunji, et al.
Published: (2025)

LLM Ethics Benchmark: A Three-Dimensional Assessment System for Evaluating Moral Reasoning in Large Language Models
by: Jiao, Junfeng, et al.
Published: (2025)

A Systematic Analysis of Biases in Large Language Models
by: Zhang, Xulang, et al.
Published: (2025)