As a consequence, they cannot reason about counterfactual alternatives to tokens they have generated in the past. In this work, our goal is to enhance them with this functionality. To this end, we ...
A Benchmark for Evaluating Counterfactual Text Generation published at INLG 2024. Ensure that the generated results are available in the form of a .csv file to run the benchmark. python ...
https://doi.org/10.15609/annaeconstat2009.142.0311 • https://www.jstor.org/stable/10.15609/annaeconstat2009.142.0311 We study an extension of a treatment effect ...
Counterfactual Generation,Data Augmentation,Data Structure,Deep Convolutional Neural Network,Deep Learning,Deep Learning Models,Denoising,Diffusion Model,Disease Detection,Diverse Sample,Diversity ...
Neural Network,Adversarial Attacks,Adversarial Training,Autonomic System,Average Cluster Size,Black Box,Bounding Box,Can Approach,Classification Task,Cluster Size ...
We develop a methodology to construct nonparametric counterfactual predictions, free of functional-form restrictions on preferences and technology, in neoclassical models of international trade. First ...
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