Image de couverture de livre

Evaluating Chinese Large Language Models: The Influence of Persona Assignment on Stereotypes and Safeguards

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Liu, Geng, Feng, Li, Bono, Carlo Alberto, Yang, Songbo, Zhu, Mengxiao, Pierri, Francesco
Format:	Preprint
Publié:	2025
Sujets:	Computers and Society
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Comparing diversity, negativity, and stereotypes in Chinese-language AI technologies: an investigation of Baidu, Ernie and Qwen
par: Liu, Geng, et autres
Publié: (2024)

Evaluating Reliability Asymmetries in Chinese Factual Search and AI Answers
par: Liu, Geng, et autres
Publié: (2025)

Analyzing the Safety of Japanese Large Language Models in Stereotype-Triggering Prompts
par: Nakanishi, Akito, et autres
Publié: (2025)

Evaluating open-source Large Language Models for automated fact-checking
par: Fontana, Nicolo', et autres
Publié: (2025)

Probing Social Identity Bias in Chinese LLMs with Gendered Pronouns and Social Groups
par: Liu, Geng, et autres
Publié: (2025)

Do Androids Dream of Unseen Puppeteers? Probing for a Conspiracy Mindset in Large Language Models
par: Corso, Francesco, et autres
Publié: (2025)

Static and Dynamic Strategies for Influencing Opinions in Social Networks
par: Tarantino, Paolo, et autres
Publié: (2026)

Nicer Than Humans: How do Large Language Models Behave in the Prisoner's Dilemma?
par: Fontana, Nicoló, et autres
Publié: (2024)

A comparison of online search engine autocompletion in Google and Baidu
par: Liu, Geng, et autres
Publié: (2024)

Bias and Volatility: A Statistical Framework for Evaluating Large Language Model's Stereotypes and the Associated Generation Inconsistency
par: Liu, Yiran, et autres
Publié: (2024)

Evaluating AI capabilities in detecting conspiracy theories on YouTube
par: La Rocca, Leonardo, et autres
Publié: (2025)

$\texttt{ModSCAN}$: Measuring Stereotypical Bias in Large Vision-Language Models from Vision and Language Modalities
par: Jiang, Yukun, et autres
Publié: (2024)

Towards an Automated Framework to Audit Youth Safety on TikTok
par: Xue, Linda, et autres
Publié: (2025)

From Content to Audience: A Multimodal Annotation Framework for Broadcast Television Analytics
par: Cupini, Paolo, et autres
Publié: (2026)

Who is better at math, Jenny or Jingzhen? Uncovering Stereotypes in Large Language Models
par: Siddique, Zara, et autres
Publié: (2024)

A Taxonomy of Stereotype Content in Large Language Models
par: Nicolas, Gandalf, et autres
Publié: (2024)

A Longitudinal Study of Italian and French Reddit Conversations Around the Russian Invasion of Ukraine
par: Corso, Francesco, et autres
Publié: (2024)

Addressing Stereotypes in Large Language Models: A Critical Examination and Mitigation
par: Kazi, Fatima
Publié: (2025)

Among Us: Language of Conspiracy Theorists on Mainstream Reddit
par: Corso, Francesco, et autres
Publié: (2025)

Evaluating Proactive Risk Awareness of Large Language Models
par: Luo, Xuan, et autres
Publié: (2026)

Divine LLaMAs: Bias, Stereotypes, Stigmatization, and Emotion Representation of Religion in Large Language Models
par: Plaza-del-Arco, Flor Miriam, et autres
Publié: (2024)

DECASTE: Unveiling Caste Stereotypes in Large Language Models through Multi-Dimensional Bias Analysis
par: Vijayaraghavan, Prashanth, et autres
Publié: (2025)

Effects of Algorithmic Visibility on Conspiracy Communities: Reddit after Epstein's 'Suicide'
par: Attanasio, Asja, et autres
Publié: (2025)

SESGO: Spanish Evaluation of Stereotypical Generative Outputs
par: Robles, Melissa, et autres
Publié: (2025)

An Empirical Investigation of Gender Stereotype Representation in Large Language Models: The Italian Case
par: Giachino, Gioele, et autres
Publié: (2025)

Conspiracy theories and where to find them on TikTok
par: Corso, Francesco, et autres
Publié: (2024)

What we can learn from TikTok through its Research API
par: Corso, Francesco, et autres
Publié: (2024)

Self-Debiasing Large Language Models: Zero-Shot Recognition and Reduction of Stereotypes
par: Gallegos, Isabel O., et autres
Publié: (2024)

Student Perspectives on Using a Large Language Model (LLM) for an Assignment on Professional Ethics
par: Grande, Virginia, et autres
Publié: (2024)

Multilinguality at the Edge: Developing Language Models for the Global South
par: Miranda, Lester James V., et autres
Publié: (2026)

SOTOPIA-$Ω$: Dynamic Strategy Injection Learning and Social Instruction Following Evaluation for Social Agents
par: Zhang, Wenyuan, et autres
Publié: (2025)

Safeguarding Efficacy in Large Language Models: Evaluating Resistance to Human-Written and Algorithmic Adversarial Prompts
par: Downey-Webb, Tiarnaigh, et autres
Publié: (2025)

Culturally Grounded Personas in Large Language Models: Characterization and Alignment with Socio-Psychological Value Frameworks
par: Greco, Candida M., et autres
Publié: (2026)

A Chinese Dataset for Evaluating the Safeguards in Large Language Models
par: Wang, Yuxia, et autres
Publié: (2024)

A Survey on Stereotype Detection in Natural Language Processing
par: Cignarella, Alessandra Teresa, et autres
Publié: (2025)

A Comprehensive Framework to Operationalize Social Stereotypes for Responsible AI Evaluations
par: Davani, Aida, et autres
Publié: (2025)

Training-Free Cultural Alignment of Large Language Models via Persona Disagreement
par: Kiet, Huynh Trung, et autres
Publié: (2026)

Moral Susceptibility and Robustness under Persona Role-Play in Large Language Models
par: Costa, Davi Bastos, et autres
Publié: (2025)

Influence of Personality Traits on Plagiarism Through Collusion in Programming Assignments
par: PD, Parthasarathy, et autres
Publié: (2024)

Evaluation of Bias Towards Medical Professionals in Large Language Models
par: Chen, Xi, et autres
Publié: (2024)