Explore 5 peer-reviewed studies by N Li in Leadership studies and Organizational psychology (2024–2026). Discover research powered by Prolific's participant panel.
This page lists 5 peer-reviewed papers authored or co-authored by N Li in the Prolific Citations Library, a curated collection of research powered by high-quality human data from Prolific.
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Authors: H Zhu, J Chen, N Liu
Year: 2026
Published in: International Journal of Hospitality Management, 2026 - Elsevier
Institution: Sun Yat-Sen University
Research Area: Leadership studies, Organizational psychology, hospitality research, Attachment theory
Discipline: Organizational Behavior, Management
Leader secure-base support improves hospitality employees’ service performance by boosting work engagement, but this benefit is weakened when employees experience high role ambiguity or role conflict.
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Authors: F Sun, N Li, K Wang, L Goette
Year: 2025
Published in: arXiv preprint arXiv:2505.02151, 2025 - arxiv.org
Institution: HKU Business School
Research Area: LLM Overconfidence and Human Bias Amplification, Bias, LLM
Discipline: Artificial Intelligence, Behavioral Science
Large language models (LLMs) exhibit overconfidence, amplifying human bias, especially in cases where their certainty declines, and their input doubles overconfidence in human decision making despite improving accuracy.
Methods: Algorithmically constructed reasoning problems with known ground truths were used to evaluate LLMs' confidence; comparisons were drawn with human performance using similar experimental protocols.
Key Findings: LLM confidence levels, correctness probabilities, comparison of bias between LLMs and humans, and effects of LLM input on human decision making.
Citations: 21
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Authors: A Dahlgren Lindström, L Methnani, L Krause
Year: 2025
Published in: Ethics and Information ..., 2025 - Springer
Institution: Umeå University, Vrije Universiteit Amsterdam
Research Area: AI Alignment, AI Safety, Reinforcement Learning from Human Feedback (RLHF), Sociotechnical Systems
Discipline: Artificial Intelligence, Ethics
The paper critiques AI alignment efforts using RLHF and RLAIF, highlighting theoretical and practical limitations in meeting the goals of helpfulness, harmlessness, and honesty, and advocates for a broader sociotechnical approach to AI safety and ethics.
Methods: Sociotechnical critique of RLHF techniques with an analysis of theoretical frameworks and practical implementations.
Key Findings: The alignment of AI systems with human values and the efficacy of RLHF techniques in achieving the HHH principle (helpfulness, harmlessness, honesty).
DOI: https://doi.org/10.1007/s10676-025-09837-2
Citations: 14
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Authors: Z Cui, N Li, H Zhou
Year: 2024
Published in: A Large-Scale Replication of Psychological ..., 2024 - papers.ssrn.com
Institution: Harbin Institute of Technology at Weihai
Research Area: LLM replication of psychological experiments, Social Science Research Methods, Artificial Intelligence, Psychology
Discipline: Psychological Science
Large Language Models (LLMs) like GPT-4 successfully replicate 76% of main effects and 47% of interaction effects from 154 psychological experiments, but exhibit overestimation and potential false positives, highlighting their complementary role rather than full replacement of human subjects.
Methods: Replication of 154 psychological experiments from top social science journals using GPT-4 as a simulated participant to measure main effects and interaction effects.
Key Findings: The ability of GPT-4 to replicate human responses in psychological experiments and the extent to which it produces similar results in terms of effect direction, significance, and confidence intervals.
Citations: 29
Sample Size: 154
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Authors: Jen-tse Huang, Man Ho Lam, Eric John Li, Shujie Ren, Wenxuan Wang, Wenxiang Jiao, Zhaopeng Tu, Michael R. Lyu
Year: 2024
Published in: Preprint
Institution: Chinese University of Hong Kong, Tianjin Medical University
Research Area: LLM Emotional Evaluation, Affective Computing, Artificial Intelligence in Psychology
Discipline: Artificial Intelligence