Cover Image

Large Language Models Can Infer Personality from Free-Form User Interactions

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Peters, Heinrich, Cerf, Moran, Matz, Sandra C.
Format:	Preprint
Published:	2024
Subjects:	Human-Computer Interaction Artificial Intelligence Computation and Language Computers and Society Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Large Language Models Can Infer Psychological Dispositions of Social Media Users
by: Peters, Heinrich, et al.
Published: (2023)

Can Large Language Models Detect Verbal Indicators of Romantic Attraction?
by: Matz, Sandra C., et al.
Published: (2024)

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

Implicit Personalization in Language Models: A Systematic Study
by: Jin, Zhijing, et al.
Published: (2024)

The Basic B*** Effect: The Use of LLM-based Agents Reduces the Distinctiveness and Diversity of People's Choices
by: Matz, Sandra C., et al.
Published: (2025)

Evaluating Multimodal Language Models as Visual Assistants for Visually Impaired Users
by: Karamolegkou, Antonia, et al.
Published: (2025)

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

Open Models, Closed Minds? On Agents Capabilities in Mimicking Human Personalities through Open Large Language Models
by: La Cava, Lucio, et al.
Published: (2024)

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

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

Human Preferences for Constructive Interactions in Language Model Alignment
by: Kyrychenko, Yara, et al.
Published: (2025)

LLM4PM: A case study on using Large Language Models for Process Modeling in Enterprise Organizations
by: Ziche, Clara, et al.
Published: (2024)

Imperfectly Cooperative Human-AI Interactions: Comparing the Impacts of Human and AI Attributes in Simulated and User Studies
by: Cohen, Myke C., et al.
Published: (2026)

Can LLMs Generate Novel Research Ideas? A Large-Scale Human Study with 100+ NLP Researchers
by: Si, Chenglei, 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)

More is More: Addition Bias in Large Language Models
by: Santagata, Luca, et al.
Published: (2024)

Impacts of Anthropomorphizing Large Language Models in Learning Environments
by: Schaaff, Kristina, et al.
Published: (2024)

Large Language Models Show Human-like Social Desirability Biases in Survey Responses
by: Salecha, Aadesh, et al.
Published: (2024)

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

Evidence of conceptual mastery in the application of rules by Large Language Models
by: Nunes, José Luiz, et al.
Published: (2025)

On the Reliability of Large Language Models to Misinformed and Demographically-Informed Prompts
by: Aremu, Toluwani, et al.
Published: (2024)

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

Evaluating the Application of Large Language Models to Generate Feedback in Programming Education
by: Jacobs, Sven, et al.
Published: (2024)

Empirical evidence of Large Language Model's influence on human spoken communication
by: Yakura, Hiromu, et al.
Published: (2024)

An Empirical Investigation of Gender Stereotype Representation in Large Language Models: The Italian Case
by: Giachino, Gioele, et al.
Published: (2025)

Decoding the Mind of Large Language Models: A Quantitative Evaluation of Ideology and Biases
by: Hirose, Manari, et al.
Published: (2025)

Getting in the Door: Streamlining Intake in Civil Legal Services with Large Language Models
by: Steenhuis, Quinten, et al.
Published: (2024)

Causal Reasoning and Large Language Models: Opening a New Frontier for Causality
by: Kıcıman, Emre, et al.
Published: (2023)

Creativity Support in the Age of Large Language Models: An Empirical Study Involving Emerging Writers
by: Chakrabarty, Tuhin, et al.
Published: (2023)

Conversational AI Powered by Large Language Models Amplifies False Memories in Witness Interviews
by: Chan, Samantha, et al.
Published: (2024)

Llms, Virtual Users, and Bias: Predicting Any Survey Question Without Human Data
by: Sinacola, Enzo, et al.
Published: (2025)

GenAI Against Humanity: Nefarious Applications of Generative Artificial Intelligence and Large Language Models
by: Ferrara, Emilio
Published: (2023)

Learning in Blocks: A Multi Agent Debate Assisted Personalized Adaptive Learning Framework for Language Learning
by: Scaria, Nicy, et al.
Published: (2026)

EvalLM: Interactive Evaluation of Large Language Model Prompts on User-Defined Criteria
by: Kim, Tae Soo, et al.
Published: (2023)

From Divergence to Consensus: Evaluating the Role of Large Language Models in Facilitating Agreement through Adaptive Strategies
by: Triantafyllopoulos, Loukas, et al.
Published: (2025)

Think Like a Person Before Responding: A Multi-Faceted Evaluation of Persona-Guided LLMs for Countering Hate
by: Ngueajio, Mikel K., et al.
Published: (2025)

Prompt Engineering Techniques for Mitigating Cultural Bias Against Arabs and Muslims in Large Language Models: A Systematic Review
by: Asseri, Bushra, et al.
Published: (2025)

Gender and content bias in Large Language Models: a case study on Google Gemini 2.0 Flash Experimental
by: Balestri, Roberto
Published: (2025)

From Reddit to Generative AI: Evaluating Large Language Models for Anxiety Support Fine-tuned on Social Media Data
by: Kursuncu, Ugur, et al.
Published: (2025)

MoReBench: Evaluating Procedural and Pluralistic Moral Reasoning in Language Models, More than Outcomes
by: Chiu, Yu Ying, et al.
Published: (2025)