Mind Reading or Misreading? LLMs on the Big Five Personality Test
Fuente:
arXiv
Saved in:
| Main Authors: | Di Cursi, Francesco, Boldrini, Chiara, Conti, Marco, Passarella, Andrea |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Layered Ego Networks in Email Communication: From Enron to the Jmail Archive
by: Di Cursi, Francesco, et al.
Published: (2026)
by: Di Cursi, Francesco, et al.
Published: (2026)
A Herd of Young Mastodonts: the User-Centered Footprints of Newcomers After Twitter Acquisition
by: Di Cursi, Francesco, et al.
Published: (2024)
by: Di Cursi, Francesco, et al.
Published: (2024)
The Built-In Robustness of Decentralized Federated Averaging to Bad Data
by: Sabella, Samuele, et al.
Published: (2025)
by: Sabella, Samuele, et al.
Published: (2025)
DecHW: Heterogeneous Decentralized Federated Learning Exploiting Second-Order Information
by: Ahmad, Adnan, et al.
Published: (2026)
by: Ahmad, Adnan, et al.
Published: (2026)
Impact of network topology on the performance of Decentralized Federated Learning
by: Palmieri, Luigi, et al.
Published: (2024)
by: Palmieri, Luigi, et al.
Published: (2024)
The Dark Patterns of Personalized Persuasion in Large Language Models: Exposing Persuasive Linguistic Features for Big Five Personality Traits in LLMs Responses
by: Mieleszczenko-Kowszewicz, Wiktoria, et al.
Published: (2024)
by: Mieleszczenko-Kowszewicz, Wiktoria, et al.
Published: (2024)
Predicting the Big Five Personality Traits in Chinese Counselling Dialogues Using Large Language Models
by: Yan, Yang, et al.
Published: (2024)
by: Yan, Yang, et al.
Published: (2024)
LLMs Simulate Big Five Personality Traits: Further Evidence
by: Sorokovikova, Aleksandra, et al.
Published: (2024)
by: Sorokovikova, Aleksandra, et al.
Published: (2024)
Exploring Big Five Personality and AI Capability Effects in LLM-Simulated Negotiation Dialogues
by: Cohen, Myke C., et al.
Published: (2025)
by: Cohen, Myke C., et al.
Published: (2025)
Optimizing Delegation in Collaborative Human-AI Hybrid Teams
by: Fuchs, Andrew, et al.
Published: (2024)
by: Fuchs, Andrew, et al.
Published: (2024)
Slimming Down LLMs Without Losing Their Minds
by: Qingda, et al.
Published: (2025)
by: Qingda, et al.
Published: (2025)
FlowMind: Automatic Workflow Generation with LLMs
by: Zeng, Zhen, et al.
Published: (2024)
by: Zeng, Zhen, et al.
Published: (2024)
Decoding Emergent Big Five Traits in Large Language Models: Temperature-Dependent Expression and Architectural Clustering
by: Zacharopoulos, Christos-Nikolaos, et al.
Published: (2025)
by: Zacharopoulos, Christos-Nikolaos, et al.
Published: (2025)
Exploring the Personality Traits of LLMs through Latent Features Steering
by: Yang, Shu, et al.
Published: (2024)
by: Yang, Shu, et al.
Published: (2024)
Optimizing Risk-averse Human-AI Hybrid Teams
by: Fuchs, Andrew, et al.
Published: (2024)
by: Fuchs, Andrew, et al.
Published: (2024)
Mind the (Belief) Gap: Group Identity in the World of LLMs
by: Borah, Angana, et al.
Published: (2025)
by: Borah, Angana, et al.
Published: (2025)
Theory of Mind and Self-Attributions of Mentality are Dissociable in LLMs
by: Kim, Junsol, et al.
Published: (2026)
by: Kim, Junsol, et al.
Published: (2026)
Personalizing LLMs with Binary Feedback: A Preference-Corrected Optimization Framework
by: Ma, Xilai, et al.
Published: (2026)
by: Ma, Xilai, et al.
Published: (2026)
Are the Hidden States Hiding Something? Testing the Limits of Factuality-Encoding Capabilities in LLMs
by: Servedio, Giovanni, et al.
Published: (2025)
by: Servedio, Giovanni, et al.
Published: (2025)
Orchestrating LLMs with Different Personalizations
by: Zhou, Jin Peng, et al.
Published: (2024)
by: Zhou, Jin Peng, et al.
Published: (2024)
Do LLMs Have Distinct and Consistent Personality? TRAIT: Personality Testset designed for LLMs with Psychometrics
by: Lee, Seungbeen, et al.
Published: (2024)
by: Lee, Seungbeen, et al.
Published: (2024)
Can "AI" Be a Doctor? A Study of Empathy, Readability, and Alignment in Clinical LLMs
by: Barone, Mariano, et al.
Published: (2026)
by: Barone, Mariano, et al.
Published: (2026)
When Personalization Misleads: Understanding and Mitigating Hallucinations in Personalized LLMs
by: Sun, Zhongxiang, et al.
Published: (2026)
by: Sun, Zhongxiang, et al.
Published: (2026)
UniToMBench: Integrating Perspective-Taking to Improve Theory of Mind in LLMs
by: Thiyagarajan, Prameshwar, et al.
Published: (2025)
by: Thiyagarajan, Prameshwar, et al.
Published: (2025)
Sparing User Time with a Socially-Aware Independent Metaverse Avatar
by: Raptis, Theofanis P., et al.
Published: (2026)
by: Raptis, Theofanis P., et al.
Published: (2026)
On the Potential of an Independent Avatar to Augment Metaverse Social Networks
by: Raptis, Theofanis P., et al.
Published: (2023)
by: Raptis, Theofanis P., et al.
Published: (2023)
Do LLMs Exhibit Human-Like Reasoning? Evaluating Theory of Mind in LLMs for Open-Ended Responses
by: Amirizaniani, Maryam, et al.
Published: (2024)
by: Amirizaniani, Maryam, et al.
Published: (2024)
RUVA: Personalized Transparent On-Device Graph Reasoning
by: Conte, Gabriele, et al.
Published: (2026)
by: Conte, Gabriele, et al.
Published: (2026)
ReadCtrl: Personalizing text generation with readability-controlled instruction learning
by: Tran, Hieu, et al.
Published: (2024)
by: Tran, Hieu, et al.
Published: (2024)
InMind: Evaluating LLMs in Capturing and Applying Individual Human Reasoning Styles
by: Li, Zizhen, et al.
Published: (2025)
by: Li, Zizhen, et al.
Published: (2025)
Mind the Ambiguity: Aleatoric Uncertainty Quantification in LLMs for Safe Medical Question Answering
by: Liu, Yaokun, et al.
Published: (2026)
by: Liu, Yaokun, et al.
Published: (2026)
Mind the Pause: Disfluency-Aware Objective Tuning for Multilingual Speech Correction with LLMs
by: Kumar, Deepak, et al.
Published: (2026)
by: Kumar, Deepak, et al.
Published: (2026)
Read Quietly, Think Aloud: Decoupling Comprehension and Reasoning in LLMs
by: Wang, Yuanxin, et al.
Published: (2025)
by: Wang, Yuanxin, et al.
Published: (2025)
How Do Answer Tokens Read Reasoning Traces? Self-Reading Patterns in Thinking LLMs for Quantitative Reasoning
by: Chen, Haoyang, et al.
Published: (2026)
by: Chen, Haoyang, et al.
Published: (2026)
Multi-Personality Generation of LLMs at Decoding-time
by: Chen, Rongxin, et al.
Published: (2025)
by: Chen, Rongxin, et al.
Published: (2025)
Advancing and Benchmarking Personalized Tool Invocation for LLMs
by: Huang, Xu, et al.
Published: (2025)
by: Huang, Xu, et al.
Published: (2025)
Guided Profile Generation Improves Personalization with LLMs
by: Zhang, Jiarui
Published: (2024)
by: Zhang, Jiarui
Published: (2024)
PAD: Personalized Alignment of LLMs at Decoding-Time
by: Chen, Ruizhe, et al.
Published: (2024)
by: Chen, Ruizhe, et al.
Published: (2024)
ToMATO: Verbalizing the Mental States of Role-Playing LLMs for Benchmarking Theory of Mind
by: Shinoda, Kazutoshi, et al.
Published: (2025)
by: Shinoda, Kazutoshi, et al.
Published: (2025)
TactfulToM: Do LLMs Have the Theory of Mind Ability to Understand White Lies?
by: Liu, Yiwei, et al.
Published: (2025)
by: Liu, Yiwei, et al.
Published: (2025)
Similar Items
-
Layered Ego Networks in Email Communication: From Enron to the Jmail Archive
by: Di Cursi, Francesco, et al.
Published: (2026) -
A Herd of Young Mastodonts: the User-Centered Footprints of Newcomers After Twitter Acquisition
by: Di Cursi, Francesco, et al.
Published: (2024) -
The Built-In Robustness of Decentralized Federated Averaging to Bad Data
by: Sabella, Samuele, et al.
Published: (2025) -
DecHW: Heterogeneous Decentralized Federated Learning Exploiting Second-Order Information
by: Ahmad, Adnan, et al.
Published: (2026) -
Impact of network topology on the performance of Decentralized Federated Learning
by: Palmieri, Luigi, et al.
Published: (2024)