Cover Image

Evaluating Psychological Safety of Large Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Li, Xingxuan, Li, Yutong, Qiu, Lin, Joty, Shafiq, Bing, Lidong
Format:	Preprint
Published:	2022
Subjects:	Computation and Language Artificial Intelligence Computers and Society
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Democratizing LLMs for Low-Resource Languages by Leveraging their English Dominant Abilities with Linguistically-Diverse Prompts
by: Nguyen, Xuan-Phi, et al.
Published: (2023)

ParaICL: Towards Parallel In-Context Learning
by: Li, Xingxuan, et al.
Published: (2024)

Unlocking Temporal Question Answering for Large Language Models with Tailor-Made Reasoning Logic
by: Li, Xingxuan, et al.
Published: (2023)

NAACL2025 Tutorial: Adaptation of Large Language Models
by: Ke, Zixuan, et al.
Published: (2025)

Chain-of-Knowledge: Grounding Large Language Models via Dynamic Knowledge Adapting over Heterogeneous Sources
by: Li, Xingxuan, et al.
Published: (2023)

Large Language Models as Psychological Simulators: A Methodological Guide
by: Lin, Zhicheng
Published: (2025)

Can We Further Elicit Reasoning in LLMs? Critic-Guided Planning with Retrieval-Augmentation for Solving Challenging Tasks
by: Li, Xingxuan, et al.
Published: (2024)

Ensuring Safety and Trust: Analyzing the Risks of Large Language Models in Medicine
by: Yang, Yifan, et al.
Published: (2024)

Psychological Assessments with Large Language Models: A Privacy-Focused and Cost-Effective Approach
by: Blanco-Cuaresma, Sergi
Published: (2024)

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

Large Language Models Leverage External Knowledge to Extend Clinical Insight Beyond Language Boundaries
by: Wu, Jiageng, et al.
Published: (2023)

JudgeRank: Leveraging Large Language Models for Reasoning-Intensive Reranking
by: Niu, Tong, et al.
Published: (2024)

Evaluating Large Language Models for Detecting Antisemitism
by: Patel, Jay, et al.
Published: (2025)

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)

Evaluation of Large Language Models in Legal Applications: Challenges, Methods, and Future Directions
by: Hu, Yiran, et al.
Published: (2026)

Beyond Instrumental and Substitutive Paradigms: Introducing Machine Culture as an Emergent Phenomenon in Large Language Models
by: Hu, Yueqing, et al.
Published: (2026)

Sentient Agent as a Judge: Evaluating Higher-Order Social Cognition in Large Language Models
by: Zhang, Bang, et al.
Published: (2025)

Dual Traits in Probabilistic Reasoning of Large Language Models
by: Li, Shenxiong, et al.
Published: (2024)

Information Suppression in Large Language Models: Auditing, Quantifying, and Characterizing Censorship in DeepSeek
by: Qiu, Peiran, et al.
Published: (2025)

Reducing Large Language Model Safety Risks in Women's Health using Semantic Entropy
by: Penny-Dimri, Jahan C., et al.
Published: (2025)

An Exploration of Higher Education Course Evaluation by Large Language Models
by: Yuan, Bo, et al.
Published: (2024)

Phare: A Safety Probe for Large Language Models
by: Jeune, Pierre Le, et al.
Published: (2025)

Large Language Models as Misleading Assistants in Conversation
by: Hou, Betty Li, et al.
Published: (2024)

CPsyCoun: A Report-based Multi-turn Dialogue Reconstruction and Evaluation Framework for Chinese Psychological Counseling
by: Zhang, Chenhao, et al.
Published: (2024)

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

Safety Evaluation and Enhancement of DeepSeek Models in Chinese Contexts
by: Zhang, Wenjing, et al.
Published: (2025)

Invisible Filters: Cultural Bias in Hiring Evaluations Using Large Language Models
by: Rao, Pooja S. B., et al.
Published: (2025)

CBT-Bench: Evaluating Large Language Models on Assisting Cognitive Behavior Therapy
by: Zhang, Mian, et al.
Published: (2024)

Mitigating Gambling-Like Risk-Taking Behaviors in Large Language Models: A Behavioral Economics Approach to AI Safety
by: Du, Y.
Published: (2025)

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

UrbanGPT: Spatio-Temporal Large Language Models
by: Li, Zhonghang, et al.
Published: (2024)

Dr.Academy: A Benchmark for Evaluating Questioning Capability in Education for Large Language Models
by: Chen, Yuyan, et al.
Published: (2024)

Large Language Model for Mental Health: A Systematic Review
by: Guo, Zhijun, et al.
Published: (2024)

Variation in Verification: Understanding Verification Dynamics in Large Language Models
by: Zhou, Yefan, et al.
Published: (2025)

The Emergence of Abstract Thought in Large Language Models Beyond Any Language
by: Chen, Yuxin, et al.
Published: (2025)

Fine-Grained Behavior Simulation with Role-Playing Large Language Model on Social Media
by: Li, Kun, et al.
Published: (2024)

Empathy Is Not What Changed: Clinical Assessment of Psychological Safety Across GPT Model Generations
by: Keeman, Michael, et al.
Published: (2026)

On the Creativity of Large Language Models
by: Franceschelli, Giorgio, et al.
Published: (2023)

Walking in Others' Shoes: How Perspective-Taking Guides Large Language Models in Reducing Toxicity and Bias
by: Xu, Rongwu, et al.
Published: (2024)

Susceptibility of Large Language Models to User-Driven Factors in Medical Queries
by: Lim, Kyung Ho, et al.
Published: (2025)