Cover Image

Observing Micromotives and Macrobehavior of Large Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Cheng, Yuyang, Qu, Xingwei, Goldsack, Tomas, Lin, Chenghua, Chen, Chung-Chi
Format:	Preprint
Published:	2024
Subjects:	Physics and Society Artificial Intelligence Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Leveraging Large Language Models for Zero-shot Lay Summarisation in Biomedicine and Beyond
by: Goldsack, Tomas, et al.
Published: (2025)

From Facts to Insights: A Study on the Generation and Evaluation of Analytical Reports for Deciphering Earnings Calls
by: Goldsack, Tomas, et al.
Published: (2024)

Evaluating Psychological Safety of Large Language Models
by: Li, Xingxuan, et al.
Published: (2022)

Talking the Talk Does Not Entail Walking the Walk: On the Limits of Large Language Models in Lexical Entailment Recognition
by: Greco, Candida M., 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)

An Open Source Data Contamination Report for Large Language Models
by: Li, Yucheng, et al.
Published: (2023)

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

Large Language Models for Medicine: A Survey
by: Zheng, Yanxin, et al.
Published: (2024)

Training-Free Cultural Alignment of Large Language Models via Persona Disagreement
by: Kiet, Huynh Trung, et al.
Published: (2026)

PersLLM: A Personified Training Approach for Large Language Models
by: Zeng, Zheni, et al.
Published: (2024)

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

Cross-Language Bias Examination in Large Language Models
by: Liang, Yuxuan, et al.
Published: (2025)

Policy Frameworks for Transparent Chain-of-Thought Reasoning in Large Language Models
by: Chen, Yihang, et al.
Published: (2025)

From Text to Multimodality: Exploring the Evolution and Impact of Large Language Models in Medical Practice
by: Niu, Qian, et al.
Published: (2024)

The global landscape of academic guidelines for generative AI and Large Language Models
by: Jiao, Junfeng, et al.
Published: (2024)

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)

How Large Language Models play humans in online conversations: a simulated study of the 2016 US politics on Reddit
by: Cirulli, Daniele, et al.
Published: (2025)

Smart Trial: Evaluating the Use of Large Language Models for Recruiting Clinical Trial Participants via Social Media
by: Zhou, Xiaofan, et al.
Published: (2025)

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

Large Legal Fictions: Profiling Legal Hallucinations in Large Language Models
by: Dahl, Matthew, et al.
Published: (2024)

Open-Ended Wargames with Large Language Models
by: Hogan, Daniel P., et al.
Published: (2024)

Large Language Models for Education: A Survey
by: Xu, Hanyi, et al.
Published: (2024)

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

Are Large Language Models Good Essay Graders?
by: Kundu, Anindita, et al.
Published: (2024)

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

Anticipating Innovation Using Large Language Models
by: Fenoaltea, Enrico Maria, et al.
Published: (2026)

How Large Language Models are Designed to Hallucinate
by: Ackermann, Richard, et al.
Published: (2025)

Evaluating Large Language Models for Generalization and Robustness via Data Compression
by: Li, Yucheng, 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 Models (LLMs) as Agents for Augmented Democracy
by: Gudiño-Rosero, Jairo, et al.
Published: (2024)

Regulating Large Language Models: A Roundtable Report
by: Nicholas, Gabriel, et al.
Published: (2024)

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

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

A Systematic Analysis of Biases in Large Language Models
by: Zhang, Xulang, et al.
Published: (2025)

Large Language Models as symbolic DNA of cultural dynamics
by: Pourdavood, Parham, et al.
Published: (2025)

The Human Condition as Reflected in Contemporary Large Language Models
by: Neuman, W. Russell
Published: (2026)

Semantic Consistency for Assuring Reliability of Large Language Models
by: Raj, Harsh, et al.
Published: (2023)

Self-Alignment of Large Language Models via Monopolylogue-based Social Scene Simulation
by: Pang, Xianghe, et al.
Published: (2024)

Chinese Tiny LLM: Pretraining a Chinese-Centric Large Language Model
by: Du, Xinrun, et al.
Published: (2024)

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