480 citations · 2.1k across the 132 of their papers we have counts for
19 papers · 1 filter
Lego-MT: Learning Detachable Models for Massively Multilingual Machine Translation
Fei Yuan, Yinquan Lu, WenHao Zhu +4
Multilingual neural machine translation (MNMT) aims to build a unified model for many language directions. Existing monolithic models for MNMT encounter two challenges: parameter i…
Accelerating Antimicrobial Peptide Discovery with Latent Structure
Danqing Wang, Zeyu Wen, Fei Ye +2
Antimicrobial peptides (AMPs) are promising therapeutic approaches against drug-resistant pathogens. Recently, deep generative models are used to discover new AMPs. However, previo…
WACO: Word-Aligned Contrastive Learning for Speech Translation
Siqi Ouyang, Rong Ye, Lei Li
End-to-end Speech Translation (E2E ST) aims to directly translate source speech into target text. Existing ST methods perform poorly when only extremely small speech-text data are…
SESCORE2: Learning Text Generation Evaluation via Synthesizing Realistic Mistakes
Wenda Xu, Xian Qian, Mingxuan Wang +2
Is it possible to train a general metric for evaluating text generation quality without human annotated ratings? Existing learned metrics either perform unsatisfactorily across tex…
Pre-trained Language Models Can be Fully Zero-Shot Learners
Xuandong Zhao, Siqi Ouyang, Zhiguo Yu +2
How can we extend a pre-trained model to many language understanding tasks, without labeled or additional unlabeled data? Pre-trained language models (PLMs) have been effective for…
Converge to the Truth: Factual Error Correction via Iterative Constrained Editing
Jiangjie Chen, Rui Xu, Wenxuan Zeng +3
Given a possibly false claim sentence, how can we automatically correct it with minimal editing? Existing methods either require a large number of pairs of false and corrected clai…