82 citations · 432 across the 55 of their papers we have counts for
5 papers · 1 filter
Inverse Reinforcement Learning for Text Summarization
Yu Fu, Deyi Xiong, Yue Dong
We introduce inverse reinforcement learning (IRL) as an effective paradigm for training abstractive summarization models, imitating human summarization behaviors. Our IRL model est…
Informative Language Representation Learning for Massively Multilingual Neural Machine Translation
Renren Jin, Deyi Xiong
In a multilingual neural machine translation model that fully shares parameters across all languages, an artificial language token is usually used to guide translation into the des…
GEMv2: Multilingual NLG Benchmarking in a Single Line of Code
Sebastian Gehrmann, Abhik Bhattacharjee, Abinaya Mahendiran +74
Evaluation in machine learning is usually informed by past choices, for example which datasets or metrics to use. This standardization enables the comparison on equal footing using…
Efficient Cluster-Based k-Nearest-Neighbor Machine Translation
Dexin Wang, Kai Fan, Boxing Chen +1
k-Nearest-Neighbor Machine Translation (kNN-MT) has been recently proposed as a non-parametric solution for domain adaptation in neural machine translation (NMT). It aims to allevi…
Learning Disentangled Semantic Representations for Zero-Shot Cross-Lingual Transfer in Multilingual Machine Reading Comprehension
Linjuan Wu, Shaojuan Wu, Xiaowang Zhang +4
Multilingual pre-trained models are able to zero-shot transfer knowledge from rich-resource to low-resource languages in machine reading comprehension (MRC). However, inherent ling…