Cover Image

Benchmarking Gender and Political Bias in Large Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yang, Jinrui, Han, Xudong, Baldwin, Timothy
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Artificial Intelligence Human-Computer Interaction Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

ParlAI Vote: A Web Platform for Analyzing Gender and Political Bias in Large Language Models
by: Lin, Wenjie, et al.
Published: (2025)

Linear Representations of Political Perspective Emerge in Large Language Models
by: Kim, Junsol, et al.
Published: (2025)

Heterogeneous Value Alignment Evaluation for Large Language Models
by: Zhang, Zhaowei, et al.
Published: (2023)

Wordflow: Social Prompt Engineering for Large Language Models
by: Wang, Zijie J., et al.
Published: (2024)

Evaluating Large Language Models for Health-related Queries with Presuppositions
by: Kaur, Navreet, et al.
Published: (2023)

What Large Language Models Know and What People Think They Know
by: Steyvers, Mark, et al.
Published: (2024)

SPRIG: Improving Large Language Model Performance by System Prompt Optimization
by: Zhang, Lechen, et al.
Published: (2024)

An Empirical Categorization of Prompting Techniques for Large Language Models: A Practitioner's Guide
by: Fagbohun, Oluwole, et al.
Published: (2024)

Value-Action Alignment in Large Language Models under Privacy-Prosocial Conflict
by: Chen, Guanyu, et al.
Published: (2026)

LLM Comparator: Visual Analytics for Side-by-Side Evaluation of Large Language Models
by: Kahng, Minsuk, et al.
Published: (2024)

Self-Reported Confidence of Large Language Models in Gastroenterology: Analysis of Commercial, Open-Source, and Quantized Models
by: Naderi, Nariman, et al.
Published: (2025)

Are We There Yet? Revealing the Risks of Utilizing Large Language Models in Scholarly Peer Review
by: Ye, Rui, et al.
Published: (2024)

How Controllable Are Large Language Models? A Unified Evaluation across Behavioral Granularities
by: Xu, Ziwen, et al.
Published: (2026)

Large Language Models for Cancer Communication: Evaluating Linguistic Quality, Safety, and Accessibility in Generative AI
by: Saha, Agnik, et al.
Published: (2025)

Automating Customer Needs Analysis: A Comparative Study of Large Language Models in the Travel Industry
by: Barandoni, Simone, et al.
Published: (2024)

Who We Are, Where We Are: Mental Health at the Intersection of Person, Situation, and Large Language Models
by: Soni, Nikita, et al.
Published: (2026)

Open-Source Large Language Models as Multilingual Crowdworkers: Synthesizing Open-Domain Dialogues in Several Languages With No Examples in Targets and No Machine Translation
by: Njifenjou, Ahmed, et al.
Published: (2025)

UniAutoML: A Human-Centered Framework for Unified Discriminative and Generative AutoML with Large Language Models
by: Guo, Jiayi, et al.
Published: (2024)

Prediction-Powered Ranking of Large Language Models
by: Chatzi, Ivi, et al.
Published: (2024)

Survey of NLU Benchmarks Diagnosing Linguistic Phenomena: Why not Standardize Diagnostics Benchmarks?
by: Jallad, Khloud AL, et al.
Published: (2025)

Communication Bias in Large Language Models: A Regulatory Perspective
by: Kuenzler, Adrian, et al.
Published: (2025)

Cross-Lingual Consistency of Factual Knowledge in Multilingual Language Models
by: Qi, Jirui, et al.
Published: (2023)

Can Large Language Models Unlock Novel Scientific Research Ideas?
by: Kumar, Sandeep, et al.
Published: (2024)

Computational Approaches to Understanding Large Language Model Impact on Writing and Information Ecosystems
by: Liang, Weixin
Published: (2025)

'Since Lawyers are Males..': Examining Implicit Gender Bias in Hindi Language Generation by LLMs
by: Joshi, Ishika, et al.
Published: (2024)

Large Language Models Can Infer Personality from Free-Form User Interactions
by: Peters, Heinrich, et al.
Published: (2024)

TalkWithMachines: Enhancing Human-Robot Interaction for Interpretable Industrial Robotics Through Large/Vision Language Models
by: Abbas, Ammar N., 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)

LingVarBench: Benchmarking LLMs on Entity Recognitions and Linguistic Verbalization Patterns in Phone-Call Transcripts
by: Mohammadi, Seyedali, et al.
Published: (2025)

RuleAlign: Making Large Language Models Better Physicians with Diagnostic Rule Alignment
by: Wang, Xiaohan, et al.
Published: (2024)

Never Start from Scratch: Expediting On-Device LLM Personalization via Explainable Model Selection
by: Wang, Haoming, et al.
Published: (2025)

ABLEIST: Intersectional Disability Bias in LLM-Generated Hiring Scenarios
by: Phutane, Mahika, et al.
Published: (2025)

Representation Bias of Adolescents in AI: A Bilingual, Bicultural Study
by: Wolfe, Robert, et al.
Published: (2024)

When "A Helpful Assistant" Is Not Really Helpful: Personas in System Prompts Do Not Improve Performances of Large Language Models
by: Zheng, Mingqian, et al.
Published: (2023)

From Bytes to Biases: Investigating the Cultural Self-Perception of Large Language Models
by: Messner, Wolfgang, et al.
Published: (2023)

EasyInstruct: An Easy-to-use Instruction Processing Framework for Large Language Models
by: Ou, Yixin, et al.
Published: (2024)

A Security Risk Taxonomy for Prompt-Based Interaction With Large Language Models
by: Derner, Erik, et al.
Published: (2023)

Language Models as Zero-Shot Trajectory Generators
by: Kwon, Teyun, et al.
Published: (2023)

Inadequacies of Large Language Model Benchmarks in the Era of Generative Artificial Intelligence
by: McIntosh, Timothy R., et al.
Published: (2024)

Wisdom from Diversity: Bias Mitigation Through Hybrid Human-LLM Crowds
by: Abels, Axel, et al.
Published: (2025)