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Bibliographic Details
Main Authors:	Abraham, Louis, Arnal, Charles, Marie, Antoine
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Artificial Intelligence Computers and Society
Online Access:	https://arxiv.org/abs/2407.10645
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Position is Power: System Prompts as a Mechanism of Bias in Large Language Models (LLMs)
by: Neumann, Anna, 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)

Whose Journey Matters? Investigating Identity Biases in Large Language Models (LLMs) for Travel Planning Assistance
by: Ren, Ruiping, et al.
Published: (2024)

Large Language Models Develop Novel Social Biases Through Adaptive Exploration
by: Wu, Addison J., et al.
Published: (2025)

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

Evaluating Large Language Models Against Human Annotators in Latent Content Analysis: Sentiment, Political Leaning, Emotional Intensity, and Sarcasm
by: Bojic, Ljubisa, et al.
Published: (2025)

DeCAP: Context-Adaptive Prompt Generation for Debiasing Zero-shot Question Answering in Large Language Models
by: Bae, Suyoung, et al.
Published: (2025)

Fine-Grained Behavior Simulation with Role-Playing Large Language Model on Social Media
by: Li, Kun, et al.
Published: (2024)

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

Navigating the Risks of Using Large Language Models for Text Annotation in Social Science Research
by: Lin, Hao, et al.
Published: (2025)

Sentient Agent as a Judge: Evaluating Higher-Order Social Cognition in Large Language Models
by: Zhang, Bang, et al.
Published: (2025)

Ask LLMs Directly, "What shapes your bias?": Measuring Social Bias in Large Language Models
by: Shin, Jisu, et al.
Published: (2024)

Leveraging Prompts in LLMs to Overcome Imbalances in Complex Educational Text Data
by: McClure, Jeanne, et al.
Published: (2024)

Dual-Metric Evaluation of Social Bias in Large Language Models: Evidence from an Underrepresented Nepali Cultural Context
by: Pandey, Ashish, et al.
Published: (2026)

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

From Individuals to Interactions: Benchmarking Gender Bias in Multimodal Large Language Models from the Lens of Social Relationship
by: Xu, Yue, et al.
Published: (2025)

Are Large Language Models Chameleons? An Attempt to Simulate Social Surveys
by: Geng, Mingmeng, et al.
Published: (2024)

Prompt Perturbations Reveal Human-Like Biases in Large Language Model Survey Responses
by: Rupprecht, Jens, et al.
Published: (2025)

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

Automated Item Neutralization for Non-Cognitive Scales: A Large Language Model Approach to Reducing Social-Desirability Bias
by: Wu, Sirui, et al.
Published: (2025)

TaCIE: Enhancing Instruction Comprehension in Large Language Models through Task-Centred Instruction Evolution
by: Yang, Jiuding, et al.
Published: (2024)

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

Three Models of RLHF Annotation: Extension, Evidence, and Authority
by: Coyne, Steve
Published: (2026)

Prompt Design Matters for Computational Social Science Tasks but in Unpredictable Ways
by: Atreja, Shubham, et al.
Published: (2024)

SUV: Scalable Large Language Model Copyright Compliance with Regularized Selective Unlearning
by: Xu, Tianyang, et al.
Published: (2025)

Evaluation of Large Language Models in Legal Applications: Challenges, Methods, and Future Directions
by: Hu, Yiran, 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)

Large Language Models for Medicine: A Survey
by: Zheng, Yanxin, 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 Psychological Safety of Large Language Models
by: Li, Xingxuan, et al.
Published: (2022)

Rethinking LLM Bias Probing Using Lessons from the Social Sciences
by: Morehouse, Kirsten N., et al.
Published: (2025)

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)

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