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02/28/2023
Goal Driven Discovery of Distributional Differences via Language Descriptions
Mining large corpora can generate useful discoveries but is time-consumi...
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09/30/2022
Learning by Distilling Context
Language models significantly benefit from context tokens, such as promp...
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05/25/2022
Active Programming by Example with a Natural Language Prior
We introduce APEL, a new framework that enables non-programmers to indir...
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04/12/2022
InCoder: A Generative Model for Code Infilling and Synthesis
Code is seldom written in a single left-to-right pass and is instead rep...
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01/28/2022
Summarizing Differences between Text Distributions with Natural Language
How do two distributions of texts differ? Humans are slow at answering t...
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12/08/2021
The Effect of Model Size on Worst-Group Generalization
Overparameterization is shown to result in poor test accuracy on rare su...
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10/15/2021
Meta-learning via Language Model In-context Tuning
The goal of meta-learning is to learn to adapt to a new task with only a...
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05/13/2021
Are Larger Pretrained Language Models Uniformly Better? Comparing Performance at the Instance Level
Larger language models have higher accuracy on average, but are they bet...
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04/10/2021
Meta-tuning Language Models to Answer Prompts Better
Large pretrained language models like GPT-3 have acquired a surprising a...
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03/13/2021
Approximating How Single Head Attention Learns
Why do models often attend to salient words, and how does this evolve th...
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10/06/2020
Semantic Evaluation for Text-to-SQL with Distilled Test Suites
We propose test suite accuracy to approximate semantic accuracy for Text...
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05/12/2020
Semantic Scaffolds for Pseudocode-to-Code Generation
We propose a method for program generation based on semantic scaffolds, ...
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08/29/2019
Detecting and Reducing Bias in a High Stakes Domain
Gang-involved youth in cities such as Chicago sometimes post on social m...
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08/19/2019
Fine-grained Sentiment Analysis with Faithful Attention
While the general task of textual sentiment classification has been wide...
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09/10/2018
Detecting Gang-Involved Escalation on Social Media Using Context
Gang-involved youth in cities such as Chicago have increasingly turned t...
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06/17/2018
