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07/10/2023
TIM: Teaching Large Language Models to Translate with Comparison
Open-sourced large language models (LLMs) have demonstrated remarkable e...
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06/20/2023
Explicit Syntactic Guidance for Neural Text Generation
Most existing text generation models follow the sequence-to-sequence par...
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06/13/2023
Soft Language Clustering for Multilingual Model Pre-training
Multilingual pre-trained language models have demonstrated impressive (z...
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11/15/2022
DualNER: A Dual-Teaching framework for Zero-shot Cross-lingual Named Entity Recognition
We present DualNER, a simple and effective framework to make full use of...
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11/07/2022
Contrastive Learning with Prompt-derived Virtual Semantic Prototypes for Unsupervised Sentence Embedding
Contrastive learning has become a new paradigm for unsupervised sentence...
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10/20/2022
Multi-Granularity Optimization for Non-Autoregressive Translation
Despite low latency, non-autoregressive machine translation (NAT) suffer...
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10/13/2022
Categorizing Semantic Representations for Neural Machine Translation
Modern neural machine translation (NMT) models have achieved competitive...
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03/22/2022
Task-guided Disentangled Tuning for Pretrained Language Models
Pretrained language models (PLMs) trained on large-scale unlabeled corpu...
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05/31/2021
On Compositional Generalization of Neural Machine Translation
Modern neural machine translation (NMT) models have achieved competitive...
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09/04/2020
Dynamic Context-guided Capsule Network for Multimodal Machine Translation
Multimodal machine translation (MMT), which mainly focuses on enhancing ...
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07/17/2020
A Novel Graph-based Multi-modal Fusion Encoder for Neural Machine Translation
Multi-modal neural machine translation (NMT) aims to translate source se...
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12/16/2019
Iterative Dual Domain Adaptation for Neural Machine Translation
Previous studies on the domain adaptation for neural machine translation...
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12/16/2019
