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08/14/2023
The Devil is in the Errors: Leveraging Large Language Models for Fine-grained Machine Translation Evaluation
Automatic evaluation of machine translation (MT) is a critical tool driv...
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06/01/2023
Multi-Dimensional Evaluation of Text Summarization with In-Context Learning
Evaluation of natural language generation (NLG) is complex and multi-dim...
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05/17/2023
Epsilon Sampling Rocks: Investigating Sampling Strategies for Minimum Bayes Risk Decoding for Machine Translation
Recent advances in machine translation (MT) have shown that Minimum Baye...
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05/01/2023
Bridging the Gap: A Survey on Integrating (Human) Feedback for Natural Language Generation
Many recent advances in natural language generation have been fueled by ...
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04/10/2023
ESPnet-ST-v2: Multipurpose Spoken Language Translation Toolkit
ESPnet-ST-v2 is a revamp of the open-source ESPnet-ST toolkit necessitat...
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02/19/2023
Scaling Laws for Multilingual Neural Machine Translation
In this work, we provide a large-scale empirical study of the scaling pr...
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10/13/2022
A Multi-dimensional Evaluation of Tokenizer-free Multilingual Pretrained Models
Recent work on tokenizer-free multilingual pretrained models show promis...
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05/02/2022
Quality-Aware Decoding for Neural Machine Translation
Despite the progress in machine translation quality estimation and evalu...
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04/22/2022
Learning to Scaffold: Optimizing Model Explanations for Teaching
Modern machine learning models are opaque, and as a result there is a bu...
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09/24/2021
Predicting Attention Sparsity in Transformers
A bottleneck in transformer architectures is their quadratic complexity ...
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05/07/2021
Measuring and Increasing Context Usage in Context-Aware Machine Translation
Recent work in neural machine translation has demonstrated both the nece...
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11/05/2018
