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05/23/2023
DUBLIN – Document Understanding By Language-Image Network
Visual document understanding is a complex task that involves analyzing ...
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02/27/2023
Language Is Not All You Need: Aligning Perception with Language Models
A big convergence of language, multimodal perception, action, and world ...
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01/27/2023
Understanding the Effectiveness of Very Large Language Models on Dialog Evaluation
Language models have steadily increased in size over the past few years....
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12/20/2022
A Length-Extrapolatable Transformer
Position modeling plays a critical role in Transformers. In this paper, ...
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11/23/2022
TorchScale: Transformers at Scale
Large Transformers have achieved state-of-the-art performance across man...
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11/16/2022
Holistic Evaluation of Language Models
Language models (LMs) are becoming the foundation for almost all major l...
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10/26/2022
Beyond English-Centric Bitexts for Better Multilingual Language Representation Learning
In this paper, we elaborate upon recipes for building multilingual repre...
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10/13/2022
Language Model Decoding as Likelihood-Utility Alignment
A critical component of a successful language generation pipeline is the...
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10/12/2022
Foundation Transformers
A big convergence of model architectures across language, vision, speech...
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04/29/2022
How Robust is Neural Machine Translation to Language Imbalance in Multilingual Tokenizer Training?
A multilingual tokenizer is a fundamental component of multilingual neur...
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03/25/2022
Data Selection Curriculum for Neural Machine Translation
Neural Machine Translation (NMT) models are typically trained on heterog...
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02/27/2022
OCR Improves Machine Translation for Low-Resource Languages
We aim to investigate the performance of current OCR systems on low reso...
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12/20/2021
Few-shot Learning with Multilingual Language Models
Large-scale autoregressive language models such as GPT-3 are few-shot le...
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10/15/2021
Alternative Input Signals Ease Transfer in Multilingual Machine Translation
Recent work in multilingual machine translation (MMT) has focused on the...
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09/17/2021
Classification-based Quality Estimation: Small and Efficient Models for Real-world Applications
Sentence-level Quality estimation (QE) of machine translation is traditi...
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06/07/2021
LAWDR: Language-Agnostic Weighted Document Representations from Pre-trained Models
Cross-lingual document representations enable language understanding in ...
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06/06/2021
The FLORES-101 Evaluation Benchmark for Low-Resource and Multilingual Machine Translation
One of the biggest challenges hindering progress in low-resource and mul...
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05/31/2021
Adapting High-resource NMT Models to Translate Low-resource Related Languages without Parallel Data
The scarcity of parallel data is a major obstacle for training high-qual...
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04/18/2021
AmericasNLI: Evaluating Zero-shot Natural Language Understanding of Pretrained Multilingual Models in Truly Low-resource Languages
Pretrained multilingual models are able to perform cross-lingual transfe...
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02/08/2021
Quality Estimation without Human-labeled Data
Quality estimation aims to measure the quality of translated content wit...
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10/21/2020
Beyond English-Centric Multilingual Machine Translation
Existing work in translation demonstrated the potential of massively mul...
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10/09/2020
MLQE-PE: A Multilingual Quality Estimation and Post-Editing Dataset
We present MLQE-PE, a new dataset for Machine Translation (MT) Quality E...
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10/05/2020
Self-training Improves Pre-training for Natural Language Understanding
Unsupervised pre-training has led to much recent progress in natural lan...
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08/02/2020
Multilingual Translation with Extensible Multilingual Pretraining and Finetuning
Recent work demonstrates the potential of multilingual pretraining of cr...
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05/21/2020
Unsupervised Quality Estimation for Neural Machine Translation
Quality Estimation (QE) is an important component in making Machine Tran...
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11/10/2019
A Massive Collection of Cross-Lingual Web-Document Pairs
Cross-lingual document alignment aims to identify pairs of documents in ...
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11/05/2019
Unsupervised Cross-lingual Representation Learning at Scale
This paper shows that pretraining multilingual language models at scale ...
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11/01/2019
CCNet: Extracting High Quality Monolingual Datasets from Web Crawl Data
Pre-training text representations have led to significant improvements i...
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10/15/2019
Facebook AI's WAT19 Myanmar-English Translation Task Submission
This paper describes Facebook AI's submission to the WAT 2019 Myanmar-En...
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07/10/2019
WikiMatrix: Mining 135M Parallel Sentences in 1620 Language Pairs from Wikipedia
We present an approach based on multilingual sentence embeddings to auto...
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06/20/2019
Low-Resource Corpus Filtering using Multilingual Sentence Embeddings
In this paper, we describe our submission to the WMT19 low-resource para...
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02/04/2019
