Cover Image

Random Silicon Sampling: Simulating Human Sub-Population Opinion Using a Large Language Model Based on Group-Level Demographic Information

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Sun, Seungjong, Lee, Eungu, Nan, Dongyan, Zhao, Xiangying, Lee, Wonbyung, Jansen, Bernard J., Kim, Jang Hyun
Format:	Preprint
Published:	2024
Subjects:	Artificial Intelligence Computers and Society I.2.7
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Kiss up, Kick down: Exploring Behavioral Changes in Multi-modal Large Language Models with Assigned Visual Personas
by: Sun, Seungjong, et al.
Published: (2024)

Enhancing Paraphrase Type Generation: The Impact of DPO and RLHF Evaluated with Human-Ranked Data
by: Lübbers, Christopher Lee
Published: (2025)

Decoding-Free Sampling Strategies for LLM Marginalization
by: Pohl, David, et al.
Published: (2025)

RuOpinionNE-2024: Extraction of Opinion Tuples from Russian News Texts
by: Loukachevitch, Natalia, et al.
Published: (2025)

Text-Based Approaches to Item Difficulty Modeling in Large-Scale Assessments: A Systematic Review
by: Peters, Sydney, et al.
Published: (2025)

Parametric Social Identity Injection and Diversification in Public Opinion Simulation
by: Wang, Hexi, et al.
Published: (2026)

Improving Commonsense Bias Classification by Mitigating the Influence of Demographic Terms
by: Lee, JinKyu, et al.
Published: (2024)

SeLeRoSa: Sentence-Level Romanian Satire Detection Dataset
by: Smădu, Răzvan-Alexandru, et al.
Published: (2025)

Cross-lingual Opinions and Emotions Mining in Comparable Documents
by: Saad, Motaz, et al.
Published: (2025)

SOCIA-EVO: Automated Simulator Construction via Dual-Anchored Bi-Level Optimization
by: Hua, Yuncheng, et al.
Published: (2026)

Comonadic Morphophonology: A Compositional Framework for Context-Dependent Morphological Rules in Finnish
by: Jang, Yongseok
Published: (2026)

CRISP: Persistent Concept Unlearning via Sparse Autoencoders
by: Ashuach, Tomer, et al.
Published: (2025)

Prompt Compression in Production Task Orchestration: A Pre-Registered Randomized Trial
by: Johnson, Warren, et al.
Published: (2026)

Beyond Demographics: Fine-tuning Large Language Models to Predict Individuals' Subjective Text Perceptions
by: Orlikowski, Matthias, et al.
Published: (2025)

What to Keep and What to Drop: Adaptive Table Filtering Framework
by: Jang, WonJune
Published: (2025)

OPOR-Bench: Evaluating Large Language Models on Online Public Opinion Report Generation
by: Yu, Jinzheng, et al.
Published: (2025)

Stratified Hazard Sampling: Minimal-Variance Event Scheduling for CTMC/DTMC Discrete Diffusion and Flow Models
by: Jang, Seunghwan, et al.
Published: (2026)

Survey Transfer Learning: Recycling Data with Silicon Responses
by: Amini, Ali
Published: (2025)

Random Heterogeneous Neurochaos Learning Architecture for Data Classification
by: S, Remya Ajai A, et al.
Published: (2024)

"As Eastern Powers, I will veto." : An Investigation of Nation-level Bias of Large Language Models in International Relations
by: Choi, Jonghyeon, et al.
Published: (2025)

SEED: Enhancing Text-to-SQL Performance and Practical Usability Through Automatic Evidence Generation
by: Yun, Janghyeon, et al.
Published: (2025)

A Multi-Pass Large Language Model Framework for Precise and Efficient Radiology Report Error Detection
by: Kim, Songsoo, et al.
Published: (2025)

Random Scaling of Emergent Capabilities
by: Zhao, Rosie, et al.
Published: (2025)

Conversations with Andrea: Visitors' Opinions on Android Robots in a Museum
by: Heisler, Marcel, et al.
Published: (2025)

RomanLens: The Role Of Latent Romanization In Multilinguality In LLMs
by: Saji, Alan, et al.
Published: (2025)

FC-TTS: Style and Timbre Control in Zero-Shot Text-to-Speech with Disentangled Speech Representations
by: Lee, Yoonhyung, et al.
Published: (2026)

SciEx: Benchmarking Large Language Models on Scientific Exams with Human Expert Grading and Automatic Grading
by: Dinh, Tu Anh, et al.
Published: (2024)

Does Localization Inform Unlearning? A Rigorous Examination of Local Parameter Attribution for Knowledge Unlearning in Language Models
by: Lee, Hwiyeong, et al.
Published: (2025)

Contextualising Levels of Language Resourcedness that affect NLP tasks
by: Keet, C. Maria, et al.
Published: (2023)

HumanLLM: Benchmarking and Improving LLM Anthropomorphism via Human Cognitive Patterns
by: Wang, Xintao, et al.
Published: (2026)

Eeyore: Realistic Depression Simulation via Supervised and Preference Optimization
by: Liu, Siyang, et al.
Published: (2025)

Auditing Meta-Cognitive Hallucinations in Reasoning Large Language Models
by: Lu, Haolang, et al.
Published: (2025)

PaperAudit-Bench: Benchmarking Error Detection in Research Papers for Critical Automated Peer Review
by: Tu, Songjun, et al.
Published: (2026)

Discovering High Level Patterns from Simulation Traces
by: Memery, Sean, et al.
Published: (2026)

Automated Bug Triaging using Instruction-Tuned Large Language Models
by: Kiashemshaki, Kiana, et al.
Published: (2025)

Toward Architecture-Aware Evaluation Metrics for LLM Agents
by: Souza, Débora, et al.
Published: (2026)

Merge-Bench: Resolve Merge Conflicts with Large Language Models
by: Schesch, Benedikt, et al.
Published: (2026)

Towards Fundamental Language Models: Does Linguistic Competence Scale with Model Size?
by: Collado-Montañez, Jaime, et al.
Published: (2025)

When Self-Reference Fails to Close: Matrix-Level Dynamics in Large Language Models
by: Bae, Ji Ho
Published: (2026)

LLM Uncertainty Quantification through Directional Entailment Graph and Claim Level Response Augmentation
by: Da, Longchao, et al.
Published: (2024)