Copertina

The Wisdom of Partisan Crowds: Comparing Collective Intelligence in Humans and LLM-based Agents

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Chuang, Yun-Shiuan, Suresh, Siddharth, Harlalka, Nikunj, Goyal, Agam, Hawkins, Robert, Yang, Sijia, Shah, Dhavan, Hu, Junjie, Rogers, Timothy T.
Natura:	Preprint
Pubblicazione:	2023
Soggetti:	Computation and Language
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Simulating Opinion Dynamics with Networks of LLM-based Agents
di: Chuang, Yun-Shiuan, et al.
Pubblicazione: (2023)

Probing LLM World Models: Enhancing Guesstimation with Wisdom of Crowds Decoding
di: Chuang, Yun-Shiuan, et al.
Pubblicazione: (2025)

Beyond Demographics: Aligning Role-playing LLM-based Agents Using Human Belief Networks
di: Chuang, Yun-Shiuan, et al.
Pubblicazione: (2024)

DEBATE: A Large-Scale Benchmark for Evaluating Opinion Dynamics in Role-Playing LLM Agents
di: Chuang, Yun-Shiuan, et al.
Pubblicazione: (2025)

The Delusional Hedge Algorithm as a Model of Human Learning from Diverse Opinions
di: Chuang, Yun-Shiuan, et al.
Pubblicazione: (2024)

Optimizing Social Media Annotation of HPV Vaccine Skepticism and Misinformation Using Large Language Models: An Experimental Evaluation of In-Context Learning and Fine-Tuning Stance Detection Across Multiple Models
di: Sun, Luhang, et al.
Pubblicazione: (2024)

Adoption and implication of the Biased-Annotator Competence Estimation (BACE) model into COVID-19 vaccine Twitter data: Human annotation for latent message features
di: Sun, Luhang, et al.
Pubblicazione: (2023)

Wisdom of the Silicon Crowd: LLM Ensemble Prediction Capabilities Rival Human Crowd Accuracy
di: Schoenegger, Philipp, et al.
Pubblicazione: (2024)

Evaluating Steering Techniques using Human Similarity Judgments
di: Studdiford, Zach, et al.
Pubblicazione: (2025)

Uncovering the Computational Ingredients of Human-Like Representations in LLMs
di: Studdiford, Zach, et al.
Pubblicazione: (2025)

MixEval: Deriving Wisdom of the Crowd from LLM Benchmark Mixtures
di: Ni, Jinjie, et al.
Pubblicazione: (2024)

State Contamination in Memory-Augmented LLM Agents
di: Wang, Yian, et al.
Pubblicazione: (2026)

Wisdom from Diversity: Bias Mitigation Through Hybrid Human-LLM Crowds
di: Abels, Axel, et al.
Pubblicazione: (2025)

The Wisdom of Agent Crowds: A Human-AI Interaction Innovation Ignition Framework
di: Yang, Senhao, et al.
Pubblicazione: (2025)

On the Wisdom of Crowds (of Economists)
di: Diebold, Francis X., et al.
Pubblicazione: (2025)

Purrfessor: A Fine-tuned Multimodal LLaVA Diet Health Chatbot
di: Lu, Linqi, et al.
Pubblicazione: (2024)

Wisdom of the Crowd: Reinforcement Learning from Coevolutionary Collective Feedback
di: Yuan, Wenzhen, et al.
Pubblicazione: (2025)

Wisdom of the Crowd, Without the Crowd: A Socratic LLM for Asynchronous Deliberation on Perspectivist Data
di: Khadar, Malik, et al.
Pubblicazione: (2025)

Silicon Minds versus Human Hearts: The Wisdom of Crowds Beats the Wisdom of AI in Emotion Recognition
di: Akben, Mustafa, et al.
Pubblicazione: (2025)

Beyond the Wisdom of the Crowd: How Network Topology Distorts Collective Perception
di: Palermo, Giovanni, et al.
Pubblicazione: (2026)

Synergizing meander line and heterogeneous composite for miniaturized hybrid microwave absorber
di: Nikunj Goyal, et al.
Pubblicazione: (2024)

ArgCMV: An Argument Summarization Benchmark for the LLM-era
di: Gurjar, Omkar, et al.
Pubblicazione: (2025)

The Wisdom of the Crowd and Higher-Order Beliefs
di: Chen, Yi-Chun, et al.
Pubblicazione: (2021)

The Wisdom of the Crowd Can Unmask Faces
di: Daniel J. Carragher, et al.
Pubblicazione: (2024)

CrowdSelect: Synthetic Instruction Data Selection with Multi-LLM Wisdom
di: Li, Yisen, et al.
Pubblicazione: (2025)

Consensus is Not Verification: Why Crowd Wisdom Strategies Fail for LLM Truthfulness
di: Denisov-Blanch, Yegor, et al.
Pubblicazione: (2026)

The Wisdom of Deliberating AI Crowds: Does Deliberation Improve LLM-Based Forecasting?
di: Schneider, Paul, et al.
Pubblicazione: (2025)

Causal Discovery Should Embrace the Wisdom of the Crowd
di: Lin, Ryan Feng, et al.
Pubblicazione: (2026)

Reward Modeling with Ordinal Feedback: Wisdom of the Crowd
di: Liu, Shang, et al.
Pubblicazione: (2024)

Multi-Group Dynamics with Tolerant Switching in the Kolkata Paise Restaurant Problem with Dining Clubs
di: Harlalka, Akshat, et al.
Pubblicazione: (2025)

Wisdom of Crowds Through Myopic Self-Confidence Adaptation
di: Como, Giacomo, et al.
Pubblicazione: (2025)

Collective Wisdom: Policy Averaging with an Application to the Newsvendor Problem
di: Cui, Xiangyu, et al.
Pubblicazione: (2025)

Humor in AI: Massive Scale Crowd-Sourced Preferences and Benchmarks for Cartoon Captioning
di: Zhang, Jifan, et al.
Pubblicazione: (2024)

The Wisdom of a Crowd of Brains: A Universal Brain Encoder
di: Beliy, Roman, et al.
Pubblicazione: (2024)

Sampling Strategies based on Wisdom of Crowds for Amazon Deforestation Detection
di: Resende, Hugo, et al.
Pubblicazione: (2024)

Neuro-Symbolic Traders: Assessing the Wisdom of AI Crowds in Markets
di: Stillman, Namid R., et al.
Pubblicazione: (2024)

Are you In or Out (of gallery)? Wisdom from the Same-Identity Crowd
di: Bhatta, Aman, et al.
Pubblicazione: (2025)

Wisdom of Crowds Effects under Antagonistic Interactions and Correlated Opinions
di: Razaq, Muhammad Ahsan, et al.
Pubblicazione: (2025)

Fake News Detection via Wisdom of Synthetic & Representative Crowds
di: t'Serstevens, François, et al.
Pubblicazione: (2024)

Wisdom of the idiots / Idries Shah
di: Shah, Idries