Cover Image

Labor Space: A Unifying Representation of the Labor Market via Large Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Kim, Seongwoon, Ahn, Yong-Yeol, Park, Jaehyuk
Format:	Preprint
Published:	2023
Subjects:	Physics and Society Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Large Language Models at Work in China's Labor Market
by: Chen, Qin, et al.
Published: (2023)

Beyond Distance: Mobility Neural Embeddings Reveal Visible and Invisible Barriers in Urban Space
by: Weng, Guangyuan, et al.
Published: (2025)

GeoEvolve: Automating Geospatial Model Discovery via Multi-Agent Large Language Models
by: Luo, Peng, et al.
Published: (2025)

UpBench: A Dynamically Evolving Real-World Labor-Market Agentic Benchmark Framework Built for Human-Centric AI
by: Yi, Darvin, et al.
Published: (2025)

Human-Provenance Verification should be Treated as Labor Infrastructure in AI-Saturated Markets
by: McGurk, Erin, et al.
Published: (2026)

Graph-Based Analysis of AI-Driven Labor Market Transitions: Evidence from 10,000 Egyptian Jobs and Policy Implications
by: Dawoud, Ahmed, et al.
Published: (2026)

Generative AI Impact on Labor Market: Analyzing ChatGPT's Demand in Job Advertisements
by: Ahmadi, Mahdi, et al.
Published: (2024)

Large Language Models and Scientific Discourse: Where's the Intelligence?
by: Collins, Harry, et al.
Published: (2026)

Working with Large Language Models to Enhance Messaging Effectiveness for Vaccine Confidence
by: Gullison, Lucinda, et al.
Published: (2025)

Who Prices Cognitive Labor in the Age of Agents? Compute-Anchored Wages
by: Zhu, Siqi
Published: (2026)

Scientific production in the era of Large Language Models
by: Kusumegi, Keigo, et al.
Published: (2026)

Will AI Take My Job? Evolving Perceptions of Automation and Labor Risk in Latin America
by: Cremaschi, Andrea, et al.
Published: (2025)

Can the Recovery Mechanism Survive AI? Skill Formation, Labor, and What Current Measurement Misses
by: Fan, Aysa Xuemo
Published: (2026)

Observing Micromotives and Macrobehavior of Large Language Models
by: Cheng, Yuyang, et al.
Published: (2024)

Chinese Labor Law Large Language Model Benchmark
by: Lan, Zixun, et al.
Published: (2026)

FairFare: A Tool for Crowdsourcing Rideshare Data to Empower Labor Organizers
by: Calacci, Dana, et al.
Published: (2025)

Intelli-Planner: Towards Customized Urban Planning via Large Language Model Empowered Reinforcement Learning
by: Yong, Xixian, et al.
Published: (2026)

Adaptive cut reveals multiscale complexity in networks
by: Boucherie, Louis, et al.
Published: (2025)

HR-Agents: Using Multiple LLM-based Agents to Improve Q&A about Brazilian Labor Legislation
by: Moraes, Abriel K., et al.
Published: (2026)

The Role of Referrals in Immobility, Inequality, and Inefficiency in Labor Markets
by: Bolte, Lukas, et al.
Published: (2020)

Can Large Language Models Develop Gambling Addiction?
by: Lee, Seungpil, et al.
Published: (2025)

SINKT: A Structure-Aware Inductive Knowledge Tracing Model with Large Language Model
by: Fu, Lingyue, et al.
Published: (2024)

Nicer Than Humans: How do Large Language Models Behave in the Prisoner's Dilemma?
by: Fontana, Nicoló, et al.
Published: (2024)

Susceptibility of Large Language Models to User-Driven Factors in Medical Queries
by: Lim, Kyung Ho, et al.
Published: (2025)

We Are What We Buy: Extracting urban lifestyles using large-scale delivery records
by: Lee, Minjin, et al.
Published: (2025)

Where Would I Go Next? Large Language Models as Human Mobility Predictors
by: Wang, Xinglei, et al.
Published: (2023)

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

A Survey of Physics-Informed AI for Complex Urban Systems
by: Xu, En, et al.
Published: (2025)

Talking the Talk Does Not Entail Walking the Walk: On the Limits of Large Language Models in Lexical Entailment Recognition
by: Greco, Candida M., et al.
Published: (2024)

Advancing network resilience theories with symbolized reinforcement learning
by: Zheng, Yu, et al.
Published: (2025)

Network community detection via neural embeddings
by: Kojaku, Sadamori, et al.
Published: (2023)

How Large Language Models Systematically Misrepresent American Climate Opinions
by: Kim, Sola, et al.
Published: (2025)

BEACON: A Unified Behavioral-Tactical Framework for Explainable Cybercrime Analysis with Large Language Models
by: Sachdeva, Arush, et al.
Published: (2025)

Disentangling Interaction and Bias Effects in Opinion Dynamics of Large Language Models
by: Brockers, Vincent C., et al.
Published: (2025)

Accuracy of a Large Language Model in Distinguishing Anti- And Pro-vaccination Messages on Social Media: The Case of Human Papillomavirus Vaccination
by: Kim, Soojong, et al.
Published: (2024)

Open Models, Closed Minds? On Agents Capabilities in Mimicking Human Personalities through Open Large Language Models
by: La Cava, Lucio, et al.
Published: (2024)

Efficient Text Encoders for Labor Market Analysis
by: Decorte, Jens-Joris, et al.
Published: (2025)

Will Neural Scaling Laws Activate Jevons' Paradox in AI Labor Markets? A Time-Varying Elasticity of Substitution (VES) Analysis
by: Narayanan, Rajesh P., et al.
Published: (2025)

A semantic embedding space based on large language models for modelling human beliefs
by: Lee, Byunghwee, et al.
Published: (2024)

Culturally Grounded Personas in Large Language Models: Characterization and Alignment with Socio-Psychological Value Frameworks
by: Greco, Candida M., et al.
Published: (2026)