LLM Agents as Social Scientists: A Human-AI Collaborative Platform for Social Science Automation

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Wang, Lei, Li, Yuanzi, Wu, Jinchao, Gao, Heyang, Bo, Xiaohe, Chen, Xu, Wen, Ji-Rong
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

YuLan-OneSim: Towards the Next Generation of Social Simulator with Large Language Models
di: Wang, Lei, et al.
Pubblicazione: (2025)

GenSim: A General Social Simulation Platform with Large Language Model based Agents
di: Tang, Jiakai, et al.
Pubblicazione: (2024)

MatPilot: an LLM-enabled AI Materials Scientist under the Framework of Human-Machine Collaboration
di: Ni, Ziqi, et al.
Pubblicazione: (2024)

Sky-Drive: A Distributed Multi-Agent Simulation Platform for Human-AI Collaborative and Socially-Aware Future Transportation
di: Huang, Zilin, et al.
Pubblicazione: (2025)

When AI Agents Collude Online: Financial Fraud Risks by Collaborative LLM Agents on Social Platforms
di: Ren, Qibing, et al.
Pubblicazione: (2025)

A Survey on the Memory Mechanism of Large Language Model based Agents
di: Zhang, Zeyu, et al.
Pubblicazione: (2024)

Structural Divergence Between AI-Agent and Human Social Networks in Moltbook
di: Hou, Wenpin, et al.
Pubblicazione: (2026)

Competing with AI Scientists: Agent-Driven Approach to Astrophysics Research
di: Borrett, Thomas, et al.
Pubblicazione: (2026)

Towards Adaptive, Scalable, and Robust Coordination of LLM Agents: A Dynamic Ad-Hoc Networking Perspective
di: Li, Rui, et al.
Pubblicazione: (2026)

MetaScientist: A Human-AI Synergistic Framework for Automated Mechanical Metamaterial Design
di: Qi, Jingyuan, et al.
Pubblicazione: (2024)

AiraXiv: An AI-Driven Open-Access Platform for Human and AI Scientists
di: Pan, Junshu, et al.
Pubblicazione: (2026)

Towards a Medical AI Scientist
di: Wu, Hongtao, et al.
Pubblicazione: (2026)

Vibe Researching as Wolf Coming: Can AI Agents with Skills Replace or Augment Social Scientists?
di: Zhang, Yongjun
Pubblicazione: (2026)

SCALE: Towards Collaborative Content Analysis in Social Science with Large Language Model Agents and Human Intervention
di: Zhao, Chengshuai, et al.
Pubblicazione: (2025)

Cog-Rethinker: Hierarchical Metacognitive Reinforcement Learning for LLM Reasoning
di: Sun, Zexu, et al.
Pubblicazione: (2025)

Epitome: Pioneering an Experimental Platform for AI-Social Science Integration
di: Qu, Jingjing, et al.
Pubblicazione: (2025)

From Labor to Collaboration: A Methodological Experiment Using AI Agents to Augment Research Perspectives in Taiwan's Humanities and Social Sciences
di: Huang, Yi-Chih
Pubblicazione: (2026)

DVM: Towards Controllable LLM Agents in Social Deduction Games
di: Zhang, Zheng, et al.
Pubblicazione: (2025)

LabOS: The AI-XR Co-Scientist That Sees and Works With Humans
di: Cong, Le, et al.
Pubblicazione: (2025)

ReplicatorBench: Benchmarking LLM Agents for Replicability in Social and Behavioral Sciences
di: Nguyen, Bang, et al.
Pubblicazione: (2026)

Learn to Memorize: Optimizing LLM-based Agents with Adaptive Memory Framework
di: Zhang, Zeyu, et al.
Pubblicazione: (2025)

Through the Lens of Human-Human Collaboration: A Configurable Research Platform for Exploring Human-Agent Collaboration
di: Yao, Bingsheng, et al.
Pubblicazione: (2025)

AI Co-Scientist for Ranking: Discovering Novel Search Ranking Models alongside LLM-based AI Agents with Cloud Computing Access
di: Wu, Liwei, et al.
Pubblicazione: (2026)

AI-for-Science Low-code Platform with Bayesian Adversarial Multi-Agent Framework
di: Zeng, Zihang, et al.
Pubblicazione: (2026)

MirrorMind: Empowering OmniScientist with the Expert Perspectives and Collective Knowledge of Human Scientists
di: Zeng, Qingbin, et al.
Pubblicazione: (2025)

AnalogAgent: Self-Improving Analog Circuit Design Automation with LLM Agents
di: Bao, Zhixuan, et al.
Pubblicazione: (2026)

An Ontology for Social Determinants of Education (SDoEd) based on Human-AI Collaborative Approach
di: Kollapally, Navya Martin, et al.
Pubblicazione: (2025)

CauScientist: Teaching LLMs to Respect Data for Causal Discovery
di: Peng, Bo, et al.
Pubblicazione: (2026)

Mutual Theory of Mind in Human-AI Collaboration: An Empirical Study with LLM-driven AI Agents in a Real-time Shared Workspace Task
di: Zhang, Shao, et al.
Pubblicazione: (2024)

AI-Empowered Human Research Integrating Brain Science and Social Sciences Insights
di: Xiong, Feng, et al.
Pubblicazione: (2024)

Human-Centered Human-AI Collaboration (HCHAC)
di: Gao, Qi, et al.
Pubblicazione: (2025)

TrendSim: Simulating Trending Topics in Social Media Under Poisoning Attacks with LLM-based Multi-agent System
di: Zhang, Zeyu, et al.
Pubblicazione: (2024)

SafeScientist: Toward Risk-Aware Scientific Discoveries by LLM Agents
di: Zhu, Kunlun, et al.
Pubblicazione: (2025)

Investigating and Extending Homans' Social Exchange Theory with Large Language Model based Agents
di: Wang, Lei, et al.
Pubblicazione: (2025)

DecodingTrust-Agent Platform (DTap): A Controllable and Interactive Red-Teaming Platform for AI Agents
di: Chen, Zhaorun, et al.
Pubblicazione: (2026)

GeoAI in Social Science
di: Li, Wenwen
Pubblicazione: (2023)

Deliberate Lab: A Platform for Real-Time Human-AI Social Experiments
di: Qian, Crystal, et al.
Pubblicazione: (2025)

Solving the Granularity Mismatch: Hierarchical Preference Learning for Long-Horizon LLM Agents
di: Gao, Heyang, et al.
Pubblicazione: (2025)

Rethinking the AI Scientist: Interactive Multi-Agent Workflows for Scientific Discovery
di: Weidener, Lukas, et al.
Pubblicazione: (2026)

EcoAgent: An Efficient Device-Cloud Collaborative Multi-Agent Framework for Mobile Automation
di: Yi, Biao, et al.
Pubblicazione: (2025)