[HTML][HTML] LLMs and generative agent-based models for complex systems research

Y Lu, A Aleta, C Du, L Shi, Y Moreno - Physics of Life Reviews, 2024 - Elsevier
Abstract The advent of Large Language Models (LLMs) has significantly transformed
research across natural and social sciences, offering new paradigms for understanding …

A manager and an AI walk into a bar: does ChatGPT make biased decisions like we do?

Y Chen, SN Kirshner, A Ovchinnikov… - Manufacturing & …, 2025 - pubsonline.informs.org
Problem definition: Large language models (LLMs) are being increasingly leveraged in
business and consumer decision-making processes. Because LLMs learn from human data …

Can Large Language Model Agents Simulate Human Trust Behaviors?

C **e, C Chen, F Jia, Z Ye, K Shu, A Bibi, Z Hu… - arxiv preprint arxiv …, 2024 - arxiv.org
Large Language Model (LLM) agents have been increasingly adopted as simulation tools to
model humans in applications such as social science. However, one fundamental question …

Are large language models qualified reviewers in originality evaluation?

S Huang, Y Huang, Y Liu, Z Luo, W Lu - Information Processing & …, 2025 - Elsevier
Large language models (LLMs) are a new generation of conversational language model
with impressive semantic comprehension, text generation, and knowledge inference …

Collaborative Growth: When Large Language Models Meet Sociolinguistics

D Nguyen - Language and Linguistics Compass, 2025 - Wiley Online Library
ABSTRACT Large Language Models (LLMs) have dramatically transformed the AI
landscape. They can produce remarkable fluent text and exhibit a range of natural language …

Can AI Replace Human Subjects? A Large-Scale Replication of Psychological Experiments with LLMs

Z Cui, N Li, H Zhou - arxiv preprint arxiv:2409.00128, 2024 - arxiv.org
Artificial Intelligence (AI) is increasingly being integrated into scientific research, particularly
in the social sciences, where understanding human behavior is critical. Large Language …

[PDF][PDF] Leveraging artificial intelligence to meet the sustainable development goals

EW Ziemba, CD Duong, J Ejdys… - Journal of Economics …, 2024 - sciendo.com
Aim/purpose–This study aims to identify the role of Artificial Intelligence (AI) in achieving the
Sustainable Development Goals (SDGs), with specific reference to their targets, and to …

Bibliometric Overview of ChatGPT: New Perspectives in Social Sciences

M Oliński, K Krukowski, K Sieciński - Publications, 2024 - mdpi.com
This study delves into a bibliometric analysis of ChatGPT, an AI tool adept at analysing and
generating text, highlighting its influence in the realm of social sciences. By harnessing data …

The role of generative AI in navigating trade-offs in policy research design: balancing validity, rigour, and innovation

X Wu, D Whittington, YJ Chen, R Zuo - Journal of Asian Public …, 2024 - Taylor & Francis
This study systematically examines how generative AI can assist in policy research design
by analysing methodological trade-offs. Using Claude Pro, we evaluated research designs …

InferAct: Inferring Safe Actions for LLM-Based Agents Through Preemptive Evaluation and Human Feedback

H Fang, X Zhu, I Gurevych - arxiv preprint arxiv:2407.11843, 2024 - arxiv.org
A crucial requirement for deploying LLM-based agents in real-life applications is the
robustness against risky or even irreversible mistakes. However, the existing research lacks …