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05/26/2023
Do GPTs Produce Less Literal Translations?
Large Language Models (LLMs) such as GPT-3 have emerged as general-purpo...
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05/24/2023
Leveraging GPT-4 for Automatic Translation Post-Editing
While Neural Machine Translation (NMT) represents the leading approach t...
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11/23/2022
Rank-One Editing of Encoder-Decoder Models
Large sequence to sequence models for tasks such as Neural Machine Trans...
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11/19/2022
Operationalizing Specifications, In Addition to Test Sets for Evaluating Constrained Generative Models
In this work, we present some recommendations on the evaluation of state...
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10/24/2022
Finding Memo: Extractive Memorization in Constrained Sequence Generation Tasks
Memorization presents a challenge for several constrained Natural Langua...
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05/20/2022
SALTED: A Framework for SAlient Long-Tail Translation Error Detection
Traditional machine translation (MT) metrics provide an average measure ...
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07/22/2021
To Ship or Not to Ship: An Extensive Evaluation of Automatic Metrics for Machine Translation
Automatic metrics are commonly used as the exclusive tool for declaring ...
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04/14/2021
The Curious Case of Hallucinations in Neural Machine Translation
In this work, we study hallucinations in Neural Machine Translation (NMT...
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12/31/2020
XLM-T: Scaling up Multilingual Machine Translation with Pretrained Cross-lingual Transformer Encoders
Multilingual machine translation enables a single model to translate bet...
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03/15/2018
