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05/25/2023
Scaling Data-Constrained Language Models
The current trend of scaling language models involves increasing both pa...
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03/07/2023
The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual Dataset
As language models grow ever larger, the need for large-scale high-quali...
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02/28/2023
Joint Representations of Text and Knowledge Graphs for Retrieval and Evaluation
A key feature of neural models is that they can produce semantic vector ...
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11/03/2022
Crosslingual Generalization through Multitask Finetuning
Multitask prompted finetuning (MTF) has been shown to help large languag...
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10/27/2022
What Language Model to Train if You Have One Million GPU Hours?
The crystallization of modeling methods around the Transformer architect...
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04/12/2022
What Language Model Architecture and Pretraining Objective Work Best for Zero-Shot Generalization?
Large pretrained Transformer language models have been shown to exhibit ...
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10/15/2021
Multitask Prompted Training Enables Zero-Shot Task Generalization
Large language models have recently been shown to attain reasonable zero...
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09/07/2021
Datasets: A Community Library for Natural Language Processing
The scale, variety, and quantity of publicly-available NLP datasets has ...
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03/15/2021
How Many Data Points is a Prompt Worth?
When fine-tuning pretrained models for classification, researchers eithe...
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05/02/2020
Neural Differential Equations for Single Image Super-resolution
Although Neural Differential Equations have shown promise on toy problem...
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09/27/2019
