research
∙
05/10/2022
Extracting Latent Steering Vectors from Pretrained Language Models
Prior work on controllable text generation has focused on learning how t...
share
research
∙
05/04/2022
Data Governance in the Age of Large-Scale Data-Driven Language Technology
The recent emergence and adoption of Machine Learning technology, and sp...
research
∙
03/16/2022
Don't Say What You Don't Know: Improving the Consistency of Abstractive Summarization by Constraining Beam Search
Abstractive summarization systems today produce fluent and relevant outp...
research
∙
11/07/2021
Natural Adversarial Objects
Although state-of-the-art object detection methods have shown compelling...
research
∙
03/22/2021
Quality at a Glance: An Audit of Web-Crawled Multilingual Datasets
With the success of large-scale pre-training and multilingual modeling i...
research
∙
02/02/2021
The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics
We introduce GEM, a living benchmark for natural language Generation (NL...
research
∙
11/27/2020
A Survey of Deep Learning Approaches for OCR and Document Understanding
Documents are a core part of many businesses in many fields such as law,...
research
∙
08/20/2020
Discovering Useful Sentence Representations from Large Pretrained Language Models
Despite the extensive success of pretrained language models as encoders ...
research
∙
07/10/2019