Image de couverture de livre

A Design-based Solution for Causal Inference with Text: Can a Language Model Be Too Large?

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Tierney, Graham, Katta, Srikar, Bail, Christopher, Hillygus, Sunshine, Volfovsky, Alexander
Format:	Preprint
Publié:	2025
Sujets:	Methodology Computation and Language Machine Learning Applications
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Interpretable Causal Inference for Analyzing Wearable, Sensor, and Distributional Data
par: Katta, Srikar, et autres
Publié: (2023)

Language Models as Causal Effect Generators
par: Bynum, Lucius E. J., et autres
Publié: (2024)

Fast Uncertainty Quantification for Kernel-Based Estimators in Large-Scale Causal Inference
par: Kosko, Matthew, et autres
Publié: (2026)

Safe and Interpretable Estimation of Optimal Treatment Regimes
par: Parikh, Harsh, et autres
Publié: (2023)

Testing Generalizability in Causal Inference
par: Manela, Daniel de Vassimon, et autres
Publié: (2024)

Causal Inference for Genomic Data with Multiple Heterogeneous Outcomes
par: Du, Jin-Hong, et autres
Publié: (2024)

Systematic Evaluation of Uncertainty Estimation Methods in Large Language Models
par: Hobelsberger, Christian, et autres
Publié: (2025)

Causal Feature Learning in the Social Sciences
par: Huang, Jingzhou, et autres
Publié: (2025)

Improving Probabilistic Models in Text Classification via Active Learning
par: Bosley, Mitchell, et autres
Publié: (2022)

Causal Inference Using Augmented Epidemic Models
par: Bong, Heejong, et autres
Publié: (2024)

lmw: Linear Model Weights for Causal Inference
par: Chattopadhyay, Ambarish, et autres
Publié: (2023)

Inference for Large Scale Regression Models with Dependent Errors
par: Voirol, Lionel, et autres
Publié: (2024)

Robust Causal Inference for EHR-based Studies of Point Exposures with Missingness in Eligibility Criteria
par: Benz, Luke, et autres
Publié: (2025)

Bayesian Federated Inference for estimating Statistical Models based on Non-shared Multicenter Data sets
par: Jonker, Marianne A., et autres
Publié: (2023)

Do Large Language Models (Really) Need Statistical Foundations?
par: Su, Weijie
Publié: (2025)

Causal Inference for Circular Data
par: Wu, Kuan-Hsun
Publié: (2025)

Estimation and Inference for Causal Explainability
par: Zhang, Weihan, et autres
Publié: (2025)

On the Role of Surrogates in Conformal Inference of Individual Causal Effects
par: Gao, Chenyin, et autres
Publié: (2024)

How Much Is Too Much? Adaptive, Context-Aware Risk Detection in Naturalistic Driving
par: Kalantari, Amir Hossein, et autres
Publié: (2025)

Mendelian Randomization Methods for Causal Inference: Estimands, Identification and Inference
par: Yao, Minhao, et autres
Publié: (2025)

Causal Inference in Genetic Trio Studies
par: Bates, Stephen, et autres
Publié: (2020)

Longitudinal Causal Inference with Selective Eligibility
par: Jiang, Zhichao, et autres
Publié: (2024)

DiffKnock: Diffusion-based Knockoff Statistics for Neural Networks Inference
par: Ge, Heng, et autres
Publié: (2025)

Hybrid$^2$ Neural ODE Causal Modeling and an Application to Glycemic Response
par: Zou, Bob Junyi, et autres
Publié: (2024)

Causal Responder Detection
par: Frostig, Tzviel, et autres
Publié: (2024)

Testing and Improving the Robustness of Amortized Bayesian Inference for Cognitive Models
par: Wu, Yufei, et autres
Publié: (2024)

Can Platform Design Encourage Curiosity? Evidence from an Independent Social Media Experiment
par: Neubrander, Marie, et autres
Publié: (2026)

Proximal Causal Inference for Modified Treatment Policies
par: Olivas-Martinez, Antonio, et autres
Publié: (2025)

Semiparametric Inference for Causal Effects on Functional Outcomes
par: Nie, Junzhu, et autres
Publié: (2026)

Causal Inference for Experiments with Latent Outcomes: Key Results and Their Implications for Design and Analysis
par: Fu, Jiawei, et autres
Publié: (2025)

Scalable Inference for Bayesian Multinomial Logistic-Normal Dynamic Linear Models
par: Saxena, Manan, et autres
Publié: (2024)

On Using Large Language Models to Enhance Clinically-Driven Missing Data Recovery Algorithms in Electronic Health Records
par: Lotspeich, Sarah C., et autres
Publié: (2025)

Constructing the Truth: Text Mining and Linguistic Networks in Public Hearings of Case 03 of the Special Jurisdiction for Peace (JEP)
par: Sosa, Juan, et autres
Publié: (2025)

The Estimand Framework and Causal Inference: Complementary not Competing Paradigms
par: Drury, Thomas, et autres
Publié: (2024)

Causal Inference for Continuous Multiple Time Point Interventions
par: Schomaker, Michael, et autres
Publié: (2023)

Causal Inference with Outcomes Truncated by Death and Missing Not at Random
par: Li, Wei, et autres
Publié: (2024)

Individualized Prediction Bands in Causal Inference with Continuous Treatments
par: Sampson, Max, et autres
Publié: (2025)

LLM-based Agents for Automated Confounder Discovery and Subgroup Analysis in Causal Inference
par: Lee, Po-Han, et autres
Publié: (2025)

Estimating the Effects of Heatwaves on Health: A Causal Inference Framework
par: Grossi, Giulio, et autres
Publié: (2025)

GenAI Powered Dynamic Causal Inference with Unstructured Data
par: Nakamura, Kentaro, et autres
Publié: (2026)