Prompts to Proxies: Emulating Human Preferences via a Compact LLM Ensemble
Fuente:
arXiv
Saved in:
| Main Authors: | Wang, Bingchen, Khoo, Zi-Yu, Wang, Jingtan |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Lost in Simulation: LLM-Simulated Users are Unreliable Proxies for Human Users in Agentic Evaluations
by: Seshadri, Preethi, et al.
Published: (2026)
by: Seshadri, Preethi, et al.
Published: (2026)
Can LLMs Emulate Human Belief Dynamics?
by: Proma, Adiba Mahbub, et al.
Published: (2026)
by: Proma, Adiba Mahbub, et al.
Published: (2026)
When Agents See Humans as the Outgroup: Belief-Dependent Bias in LLM-Powered Agents
by: Wang, Zongwei, et al.
Published: (2026)
by: Wang, Zongwei, et al.
Published: (2026)
It Cannot Be Right If It Was Written by AI: On Lawyers' Preferences of Documents Perceived as Authored by an LLM vs a Human
by: Harasta, Jakub, et al.
Published: (2024)
by: Harasta, Jakub, et al.
Published: (2024)
Wisdom of the Silicon Crowd: LLM Ensemble Prediction Capabilities Rival Human Crowd Accuracy
by: Schoenegger, Philipp, et al.
Published: (2024)
by: Schoenegger, Philipp, et al.
Published: (2024)
Growth First, Care Second? Tracing the Landscape of LLM Value Preferences in Everyday Dilemmas
by: Chen, Zhiyi, et al.
Published: (2026)
by: Chen, Zhiyi, et al.
Published: (2026)
Unlawful Proxy Discrimination: A Framework for Challenging Inherently Discriminatory Algorithms
by: Weerts, Hilde, et al.
Published: (2024)
by: Weerts, Hilde, et al.
Published: (2024)
Can Large Language Models Simulate Human Responses? A Case Study of Stated Preference Experiments in the Context of Heating-related Choices
by: Wang, Han, et al.
Published: (2025)
by: Wang, Han, et al.
Published: (2025)
Predicting Human Mobility during Extreme Events via LLM-Enhanced Cross-City Learning
by: Tang, Yinzhou, et al.
Published: (2025)
by: Tang, Yinzhou, et al.
Published: (2025)
Judging the Judges: Human Validation of Multi-LLM Evaluation for High-Quality K--12 Science Instructional Materials
by: He, Peng, et al.
Published: (2026)
by: He, Peng, et al.
Published: (2026)
That's So FETCH: Fashioning Ensemble Techniques for LLM Classification in Civil Legal Intake and Referral
by: Steenhuis, Quinten
Published: (2025)
by: Steenhuis, Quinten
Published: (2025)
Human-in-the-Loop LLM Grading for Handwritten Mathematics Assessments
by: Vanhoyweghen, Arne, et al.
Published: (2026)
by: Vanhoyweghen, Arne, et al.
Published: (2026)
Empirical Evidence for Alignment Faking in a Small LLM and Prompt-Based Mitigation Techniques
by: Koorndijk, Jeanice
Published: (2025)
by: Koorndijk, Jeanice
Published: (2025)
What Is Actually Being Annotated? Inter-Prompt Reliability as a Measurement Problem in LLM-Based Social Science Labeling
by: Liu, Jingyuan
Published: (2026)
by: Liu, Jingyuan
Published: (2026)
Evaluating LLM Behavior in Hiring: Implicit Weights, Fairness Across Groups, and Alignment with Human Preferences
by: Hoffmann, Morgane, et al.
Published: (2026)
by: Hoffmann, Morgane, et al.
Published: (2026)
Decoding Multilingual Moral Preferences: Unveiling LLM's Biases Through the Moral Machine Experiment
by: Vida, Karina, et al.
Published: (2024)
by: Vida, Karina, et al.
Published: (2024)
Readers Prefer Outputs of AI Trained on Copyrighted Books over Expert Human Writers
by: Chakrabarty, Tuhin, et al.
Published: (2025)
by: Chakrabarty, Tuhin, et al.
Published: (2025)
Whose Preferences? Differences in Fairness Preferences and Their Impact on the Fairness of AI Utilizing Human Feedback
by: Lerner, Emilia Agis, et al.
Published: (2024)
by: Lerner, Emilia Agis, et al.
Published: (2024)
Beyond Static Question Banks: Dynamic Knowledge Expansion via LLM-Automated Graph Construction and Adaptive Generation
by: Wang, Yingquan, et al.
Published: (2026)
by: Wang, Yingquan, et al.
Published: (2026)
Toxic HallucinAItions: Perturbing Prompts and Tracing LLM Circuits
by: Shimgekar, Soorya Ram, et al.
Published: (2026)
by: Shimgekar, Soorya Ram, et al.
Published: (2026)
Human and AI collaboration in Fitness Education:A Longitudinal Study with a Pilates Instructor
by: Huang, Qian, et al.
Published: (2025)
by: Huang, Qian, et al.
Published: (2025)
Avenir-UX: Automated UX Evaluation via Simulated Human Web Interaction with GUI Grounding
by: Tan, Wee Joe, et al.
Published: (2026)
by: Tan, Wee Joe, et al.
Published: (2026)
Dropouts in Confidence: Moral Uncertainty in Human-LLM Alignment
by: Kwon, Jea, et al.
Published: (2025)
by: Kwon, Jea, et al.
Published: (2025)
Human Preferences for Constructive Interactions in Language Model Alignment
by: Kyrychenko, Yara, et al.
Published: (2025)
by: Kyrychenko, Yara, et al.
Published: (2025)
The LLM Has Left The Chat: Evidence of Bail Preferences in Large Language Models
by: Ensign, Danielle, et al.
Published: (2025)
by: Ensign, Danielle, et al.
Published: (2025)
Echoes of AI Harms: A Human-LLM Synergistic Framework for Bias-Driven Harm Anticipation
by: Tantalaki, Nicoleta, et al.
Published: (2025)
by: Tantalaki, Nicoleta, et al.
Published: (2025)
The Political Preferences of LLMs
by: Rozado, David
Published: (2024)
by: Rozado, David
Published: (2024)
LLM Context Conditioning and PWP Prompting for Multimodal Validation of Chemical Formulas
by: Markhasin, Evgeny
Published: (2025)
by: Markhasin, Evgeny
Published: (2025)
HiMoE: Heterogeneity-Informed Mixture-of-Experts for Fair Spatial-Temporal Forecasting
by: Yu, Shaohan, et al.
Published: (2024)
by: Yu, Shaohan, et al.
Published: (2024)
Prompts and Prayers: the Rise of GPTheology
by: Cheres, Ioana, et al.
Published: (2026)
by: Cheres, Ioana, et al.
Published: (2026)
Disentangling the Drivers of LLM Social Conformity: An Uncertainty-Moderated Dual-Process Mechanism
by: Zhong, Huixin, et al.
Published: (2025)
by: Zhong, Huixin, et al.
Published: (2025)
ShaRP: Explaining Rankings and Preferences with Shapley Values
by: Pliatsika, Venetia, et al.
Published: (2024)
by: Pliatsika, Venetia, et al.
Published: (2024)
Revolutionizing Pharma: Unveiling the AI and LLM Trends in the Pharmaceutical Industry
by: Han, Yu, et al.
Published: (2024)
by: Han, Yu, et al.
Published: (2024)
The Prompt War: How AI Decides on a Military Intervention
by: Chupilkin, Maxim
Published: (2025)
by: Chupilkin, Maxim
Published: (2025)
SuperSkillsStack: Agency, Domain Knowledge, Imagination, and Taste in Human-AI Design Education
by: Huang, Qian, et al.
Published: (2026)
by: Huang, Qian, et al.
Published: (2026)
From Stability to Inconsistency: A Study of Moral Preferences in LLMs
by: Jotautaite, Monika, et al.
Published: (2025)
by: Jotautaite, Monika, et al.
Published: (2025)
German General Social Survey Personas: A Survey-Derived Persona Prompt Collection for Population-Aligned LLM Studies
by: Rupprecht, Jens, et al.
Published: (2025)
by: Rupprecht, Jens, et al.
Published: (2025)
Authority Inversion in LLM-Mediated Ubiquitous Systems: When Models Trust Users Over Sensors
by: Zhang, Long, et al.
Published: (2026)
by: Zhang, Long, et al.
Published: (2026)
Implicit Humanization in Everyday LLM Moral Judgments
by: Ayad, Hoda, et al.
Published: (2026)
by: Ayad, Hoda, et al.
Published: (2026)
Fairer Preferences Elicit Improved Human-Aligned Large Language Model Judgments
by: Zhou, Han, et al.
Published: (2024)
by: Zhou, Han, et al.
Published: (2024)
Similar Items
-
Lost in Simulation: LLM-Simulated Users are Unreliable Proxies for Human Users in Agentic Evaluations
by: Seshadri, Preethi, et al.
Published: (2026) -
Can LLMs Emulate Human Belief Dynamics?
by: Proma, Adiba Mahbub, et al.
Published: (2026) -
When Agents See Humans as the Outgroup: Belief-Dependent Bias in LLM-Powered Agents
by: Wang, Zongwei, et al.
Published: (2026) -
It Cannot Be Right If It Was Written by AI: On Lawyers' Preferences of Documents Perceived as Authored by an LLM vs a Human
by: Harasta, Jakub, et al.
Published: (2024) -
Wisdom of the Silicon Crowd: LLM Ensemble Prediction Capabilities Rival Human Crowd Accuracy
by: Schoenegger, Philipp, et al.
Published: (2024)