9 citations · 21 across the 10 of their papers we have counts for
7 papers · 1 filter
mmT5: Modular Multilingual Pre-Training Solves Source Language Hallucinations
Jonas Pfeiffer, Francesco Piccinno, Massimo Nicosia +3
Multilingual sequence-to-sequence models perform poorly with increased language coverage and fail to consistently generate text in the correct target language in few-shot settings.…
Serial Contrastive Knowledge Distillation for Continual Few-shot Relation Extraction
Xinyi Wang, Zitao Wang, Wei Hu
Continual few-shot relation extraction (RE) aims to continuously train a model for new relations with few labeled training data, of which the major challenges are the catastrophic…
Enhancing Document-level Relation Extraction by Entity Knowledge Injection
Xinyi Wang, Zitao Wang, Weijian Sun +1
Document-level relation extraction (RE) aims to identify the relations between entities throughout an entire document. It needs complex reasoning skills to synthesize various knowl…
Efficient Test Time Adapter Ensembling for Low-resource Language Varieties
Xinyi Wang, Yulia Tsvetkov, Sebastian Ruder +1
Adapters are light-weight modules that allow parameter-efficient fine-tuning of pretrained models. Specialized language and task adapters have recently been proposed to facilitate…
Multi-view Subword Regularization
Xinyi Wang, Sebastian Ruder, Graham Neubig
Multilingual pretrained representations generally rely on subword segmentation algorithms to create a shared multilingual vocabulary. However, standard heuristic algorithms often l…
Improving Target-side Lexical Transfer in Multilingual Neural Machine Translation
Luyu Gao, Xinyi Wang, Graham Neubig
To improve the performance of Neural Machine Translation~(NMT) for low-resource languages~(LRL), one effective strategy is to leverage parallel data from a related high-resource la…