research
∙
12/18/2022
Language model acceptability judgements are not always robust to context
Targeted syntactic evaluations of language models ask whether models sho...
share
research
∙
10/23/2022
The Curious Case of Absolute Position Embeddings
Transformer language models encode the notion of word order using positi...
research
∙
05/22/2022
How sensitive are translation systems to extra contexts? Mitigating gender bias in Neural Machine Translation models through relevant contexts
Neural Machine Translation systems built on top of Transformer-based arc...
research
∙
05/12/2021
Evaluating Gender Bias in Natural Language Inference
Gender-bias stereotypes have recently raised significant ethical concern...
research
∙
04/15/2021
Sometimes We Want Translationese
Rapid progress in Neural Machine Translation (NMT) systems over the last...
research
∙
04/14/2021
Masked Language Modeling and the Distributional Hypothesis: Order Word Matters Pre-training for Little
A possible explanation for the impressive performance of masked language...
research
∙
01/13/2021
COVID-19 Deterioration Prediction via Self-Supervised Representation Learning and Multi-Image Prediction
The rapid spread of COVID-19 cases in recent months has strained hospita...
research
∙
12/30/2020
Unnatural Language Inference
Natural Language Understanding has witnessed a watershed moment with the...
research
∙
10/06/2020
A Closer Look at Codistillation for Distributed Training
Codistillation has been proposed as a mechanism to share knowledge among...
research
∙
09/30/2020
Measuring Systematic Generalization in Neural Proof Generation with Transformers
We are interested in understanding how well Transformer language models ...
research
∙
07/21/2020
Ideas for Improving the Field of Machine Learning: Summarizing Discussion from the NeurIPS 2019 Retrospectives Workshop
This report documents ideas for improving the field of machine learning,...
research
∙
05/08/2020
Probing Linguistic Systematicity
Recently, there has been much interest in the question of whether deep n...
research
∙
05/01/2020
Learning an Unreferenced Metric for Online Dialogue Evaluation
Evaluating the quality of a dialogue interaction between two agents is a...
research
∙
03/27/2020
Improving Reproducibility in Machine Learning Research (A Report from the NeurIPS 2019 Reproducibility Program)
One of the challenges in machine learning research is to ensure that pre...
research
∙
03/14/2020
Evaluating Logical Generalization in Graph Neural Networks
Recent research has highlighted the role of relational inductive biases ...
research
∙
08/16/2019
CLUTRR: A Diagnostic Benchmark for Inductive Reasoning from Text
The recent success of natural language understanding (NLU) systems has b...
research
∙
11/07/2018
Compositional Language Understanding with Text-based Relational Reasoning
Neural networks for natural language reasoning have largely focused on e...
research
∙
11/07/2018
The RLLChatbot: a solution to the ConvAI Challenge
Current conversational systems can follow simple commands and answer bas...
research
∙
11/04/2018
Adversarial Gain
Adversarial examples can be defined as inputs to a model which induce a ...
research
∙
11/24/2017