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10/20/2022
Transcending Scaling Laws with 0.1
Scaling language models improves performance but comes with significant ...
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04/05/2022
PaLM: Scaling Language Modeling with Pathways
Large language models have been shown to achieve remarkable performance ...
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12/23/2021
Measuring Attribution in Natural Language Generation Models
With recent improvements in natural language generation (NLG) models for...
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10/12/2020
Measuring and Reducing Gendered Correlations in Pre-trained Models
Pre-trained models have revolutionized natural language understanding. H...
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08/01/2017
Natural Language Processing with Small Feed-Forward Networks
We show that small and shallow feed-forward neural networks can achieve ...
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03/15/2017
SyntaxNet Models for the CoNLL 2017 Shared Task
We describe a baseline dependency parsing system for the CoNLL2017 Share...
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02/10/2017
Universal Semantic Parsing
Universal Dependencies (UD) offer a uniform cross-lingual syntactic repr...
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03/19/2016
Globally Normalized Transition-Based Neural Networks
We introduce a globally normalized transition-based neural network model...
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06/19/2015
Structured Training for Neural Network Transition-Based Parsing
We present structured perceptron training for neural network transition-...
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12/23/2014
