Amir Feder | DeepAI

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Evaluating the Moral Beliefs Encoded in LLMs

This paper presents a case study on the design, administration, post-pro...

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∙ 05/31/2023

An Invariant Learning Characterization of Controlled Text Generation

Controlled generation refers to the problem of creating text that contai...

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∙ 10/25/2022

Useful Confidence Measures: Beyond the Max Score

An important component in deploying machine learning (ML) in safety-crit...

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∙ 07/28/2022

Measuring Causal Effects of Data Statistics on Language Model's `Factual' Predictions

Large amounts of training data are one of the major reasons for the high...

0 Yanai Elazar, et al. ∙

∙ 06/01/2022

In the Eye of the Beholder: Robust Prediction with Causal User Modeling

Accurately predicting the relevance of items to users is crucial to the ...

0 Amir Feder, et al. ∙

∙ 05/27/2022

CEBaB: Estimating the Causal Effects of Real-World Concepts on NLP Model Behavior

The increasing size and complexity of modern ML systems has improved the...

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∙ 02/24/2022

DoCoGen: Domain Counterfactual Generation for Low Resource Domain Adaptation

Natural language processing (NLP) algorithms have become very successful...

0 Nitay Calderon, et al. ∙

∙ 09/02/2021

Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond

A fundamental goal of scientific research is to learn about causal relat...

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∙ 06/08/2021

Are VQA Systems RAD? Measuring Robustness to Augmented Data with Focused Interventions

Deep learning algorithms have shown promising results in visual question...

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∙ 02/20/2021

On Calibration and Out-of-domain Generalization

Out-of-domain (OOD) generalization is a significant challenge for machin...

0 Yoav Wald, et al. ∙

∙ 01/18/2021

Model Compression for Domain Adaptation through Causal Effect Estimation

Recent improvements in the predictive quality of natural language proces...

0 Guy Rotman, et al. ∙

∙ 05/27/2020

CausaLM: Causal Model Explanation Through Counterfactual Language Models

Understanding predictions made by deep neural networks is notoriously di...

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∙ 10/24/2019

Predicting In-game Actions From the Language of NBA Players

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