LABOR-LLM: Language-Based Occupational Representations with Large Language Models
Fuente:
arXiv
Saved in:
| Main Authors: | Athey, Susan, Brunborg, Herman, Du, Tianyu, Kanodia, Ayush, Vafa, Keyon |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
CAREER: A Foundation Model for Labor Sequence Data
by: Vafa, Keyon, et al.
Published: (2022)
by: Vafa, Keyon, et al.
Published: (2022)
Torch-Choice: A PyTorch Package for Large-Scale Choice Modeling with Python
by: Du, Tianyu, et al.
Published: (2023)
by: Du, Tianyu, et al.
Published: (2023)
Estimating Wage Disparities Using Foundation Models
by: Vafa, Keyon, et al.
Published: (2024)
by: Vafa, Keyon, et al.
Published: (2024)
Macroeconomic Forecasting with Large Language Models
by: Carriero, Andrea, et al.
Published: (2024)
by: Carriero, Andrea, et al.
Published: (2024)
Identification of Average Treatment Effects in Nonparametric Panel Models
by: Athey, Susan, et al.
Published: (2025)
by: Athey, Susan, et al.
Published: (2025)
Federated Offline Policy Learning
by: Carranza, Aldo Gael, et al.
Published: (2023)
by: Carranza, Aldo Gael, et al.
Published: (2023)
Causality Elicitation from Large Language Models
by: Kameyama, Takashi, et al.
Published: (2026)
by: Kameyama, Takashi, et al.
Published: (2026)
Machine Learning Who to Nudge: Causal vs Predictive Targeting in a Field Experiment on Student Financial Aid Renewal
by: Athey, Susan, et al.
Published: (2023)
by: Athey, Susan, et al.
Published: (2023)
Estimating Treatment Effects using Multiple Surrogates: The Role of the Surrogate Score and the Surrogate Index
by: Athey, Susan, et al.
Published: (2016)
by: Athey, Susan, et al.
Published: (2016)
Off-Policy Evaluation via Adaptive Weighting with Data from Contextual Bandits
by: Zhan, Ruohan, et al.
Published: (2021)
by: Zhan, Ruohan, et al.
Published: (2021)
Cross-Validated Causal Inference: a Modern Method to Combine Experimental and Observational Data
by: Yang, Xuelin, et al.
Published: (2025)
by: Yang, Xuelin, et al.
Published: (2025)
Evaluating Large Language Model Capabilities in Assessing Spatial Econometrics Research
by: Arbia, Giuseppe, et al.
Published: (2025)
by: Arbia, Giuseppe, et al.
Published: (2025)
Extracting Consumer Insight from Text: A Large Language Model Approach to Emotion and Evaluation Measurement
by: Ludwig, Stephan, et al.
Published: (2026)
by: Ludwig, Stephan, et al.
Published: (2026)
Measuring the Quality of Answers in Political Q&As with Large Language Models
by: Alvarez, R. Michael, et al.
Published: (2024)
by: Alvarez, R. Michael, et al.
Published: (2024)
Causal Inference on Outcomes Learned from Text
by: Modarressi, Iman, et al.
Published: (2025)
by: Modarressi, Iman, et al.
Published: (2025)
A Neural Topic Method Using a Large-Language-Model-in-the-Loop for Business Research
by: Ludwig, Stephan, et al.
Published: (2026)
by: Ludwig, Stephan, et al.
Published: (2026)
Detecting and Mitigating Treatment Leakage in Text-Based Causal Inference: Distillation and Sensitivity Analysis
by: Daoud, Adel, et al.
Published: (2025)
by: Daoud, Adel, et al.
Published: (2025)
Inflation Attitudes of Large Language Models
by: Anesti, Nikoleta, et al.
Published: (2025)
by: Anesti, Nikoleta, et al.
Published: (2025)
Policy Learning with Abstention
by: Sawarni, Ayush, et al.
Published: (2025)
by: Sawarni, Ayush, et al.
Published: (2025)
Do Large Language Models Perform the Way People Expect? Measuring the Human Generalization Function
by: Vafa, Keyon, et al.
Published: (2024)
by: Vafa, Keyon, et al.
Published: (2024)
Potemkin Understanding in Large Language Models
by: Mancoridis, Marina, et al.
Published: (2025)
by: Mancoridis, Marina, et al.
Published: (2025)
SLIM: Stochastic Learning and Inference in Overidentified Models
by: Chen, Xiaohong, et al.
Published: (2025)
by: Chen, Xiaohong, et al.
Published: (2025)
From Reviews to Actionable Insights: An LLM-Based Approach for Attribute and Feature Extraction
by: Boughanmi, Khaled, et al.
Published: (2025)
by: Boughanmi, Khaled, et al.
Published: (2025)
A Large-Scale Empirical Comparison of Meta-Learners and Causal Forests for Heterogeneous Treatment Effect Estimation in Marketing Uplift Modeling
by: Singh, Aman
Published: (2026)
by: Singh, Aman
Published: (2026)
Participation and Representation in Local Government Speech
by: Martin, Olivia, et al.
Published: (2026)
by: Martin, Olivia, et al.
Published: (2026)
The Partial Testimony of Logs: Evaluation of Language Model Generation under Confounded Model Choice
by: Jin, Jikai, et al.
Published: (2026)
by: Jin, Jikai, et al.
Published: (2026)
Adversarial Estimation of Riesz Representers
by: Chernozhukov, Victor, et al.
Published: (2020)
by: Chernozhukov, Victor, et al.
Published: (2020)
Large Skew-t Copula Models and Asymmetric Dependence in Intraday Equity Returns
by: Deng, Lin, et al.
Published: (2023)
by: Deng, Lin, et al.
Published: (2023)
Two Approaches to Direct Estimation of Riesz Representers
by: Bruns-Smith, David
Published: (2026)
by: Bruns-Smith, David
Published: (2026)
Using Experiments to Correct for Selection in Observational Studies
by: Athey, Susan, et al.
Published: (2020)
by: Athey, Susan, et al.
Published: (2020)
Large SVARs
by: Arias, Jonas E., et al.
Published: (2025)
by: Arias, Jonas E., et al.
Published: (2025)
Semiparametric Preference Optimization: Your Language Model is Secretly a Single-Index Model
by: Kallus, Nathan
Published: (2025)
by: Kallus, Nathan
Published: (2025)
De-Biasing Models of Biased Decisions: A Comparison of Methods Using Mortgage Application Data
by: Tenev, Nicholas
Published: (2024)
by: Tenev, Nicholas
Published: (2024)
A Dynamic Approach to Stock Price Prediction: Comparing RNN and Mixture of Experts Models Across Different Volatility Profiles
by: Vallarino, Diego
Published: (2024)
by: Vallarino, Diego
Published: (2024)
ReLU-Based and DNN-Based Generalized Maximum Score Estimators
by: Chen, Xiaohong, et al.
Published: (2025)
by: Chen, Xiaohong, et al.
Published: (2025)
Admissibility of Completely Randomized Trials: A Large-Deviation Approach
by: Imbens, Guido, et al.
Published: (2025)
by: Imbens, Guido, et al.
Published: (2025)
Valuing an Engagement Surface using a Large Scale Dynamic Causal Model
by: Mukerji, Abhimanyu, et al.
Published: (2024)
by: Mukerji, Abhimanyu, et al.
Published: (2024)
Qini Curves for Multi-Armed Treatment Rules
by: Sverdrup, Erik, et al.
Published: (2023)
by: Sverdrup, Erik, et al.
Published: (2023)
Triply Robust Panel Estimators
by: Athey, Susan, et al.
Published: (2025)
by: Athey, Susan, et al.
Published: (2025)
Estimating Variances for Causal Panel Data Estimators
by: Almeida, Alexander, et al.
Published: (2025)
by: Almeida, Alexander, et al.
Published: (2025)
Similar Items
-
CAREER: A Foundation Model for Labor Sequence Data
by: Vafa, Keyon, et al.
Published: (2022) -
Torch-Choice: A PyTorch Package for Large-Scale Choice Modeling with Python
by: Du, Tianyu, et al.
Published: (2023) -
Estimating Wage Disparities Using Foundation Models
by: Vafa, Keyon, et al.
Published: (2024) -
Macroeconomic Forecasting with Large Language Models
by: Carriero, Andrea, et al.
Published: (2024) -
Identification of Average Treatment Effects in Nonparametric Panel Models
by: Athey, Susan, et al.
Published: (2025)