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05/22/2023
Small Language Models Improve Giants by Rewriting Their Outputs
Large language models (LLMs) have demonstrated impressive few-shot learn...
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12/16/2022
Teaching Small Language Models to Reason
Chain of thought prompting successfully improves the reasoning capabilit...
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06/14/2022
Text Generation with Text-Editing Models
Text-editing models have recently become a prominent alternative to seq2...
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05/24/2022
EdiT5: Semi-Autoregressive Text-Editing with T5 Warm-Start
We present EdiT5 - a novel semi-autoregressive text-editing approach des...
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06/07/2021
A Simple Recipe for Multilingual Grammatical Error Correction
This paper presents a simple recipe to train state-of-the-art multilingu...
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10/02/2020
Unsupervised Text Style Transfer with Padded Masked Language Models
We propose Masker, an unsupervised text-editing method for style transfe...
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03/24/2020
Felix: Flexible Text Editing Through Tagging and Insertion
We present Felix — a flexible text-editing approach for generation, desi...
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09/03/2019
Encode, Tag, Realize: High-Precision Text Editing
We propose LaserTagger - a sequence tagging approach that casts text gen...
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07/29/2019
Leveraging Pre-trained Checkpoints for Sequence Generation Tasks
Unsupervised pre-training of large neural models has recently revolution...
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02/21/2019
Breaking the Softmax Bottleneck via Learnable Monotonic Pointwise Non-linearities
The softmax function on top of a final linear layer is the de facto meth...
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08/14/2018
Adversarial Neural Networks for Cross-lingual Sequence Tagging
We study cross-lingual sequence tagging with little or no labeled data i...
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06/13/2018
On Accurate Evaluation of GANs for Language Generation
Generative Adversarial Networks (GANs) are a promising approach to langu...
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06/11/2018
Prosody Modifications for Question-Answering in Voice-Only Settings
Many popular form factors of digital assistant---such as Amazon Echo, Ap...
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04/21/2018
Eval all, trust a few, do wrong to none: Comparing sentence generation models
In this paper, we study recent neural generative models for text generat...
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11/30/2017
Learning to Learn from Weak Supervision by Full Supervision
In this paper, we propose a method for training neural networks when we ...
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11/01/2017
Avoiding Your Teacher's Mistakes: Training Neural Networks with Controlled Weak Supervision
Training deep neural networks requires massive amounts of training data,...
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04/28/2017
Neural Ranking Models with Weak Supervision
Despite the impressive improvements achieved by unsupervised deep neural...
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03/07/2017
Leveraging Large Amounts of Weakly Supervised Data for Multi-Language Sentiment Classification
This paper presents a novel approach for multi-lingual sentiment classif...
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02/08/2017
A Hybrid Convolutional Variational Autoencoder for Text Generation
In this paper we explore the effect of architectural choices on learning...
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04/05/2016
Modeling Relational Information in Question-Answer Pairs with Convolutional Neural Networks
In this paper, we propose convolutional neural networks for learning an ...
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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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03/16/2016
