activity
20202024
most citedSciFive: a text-to-text transformer model for biomedical literature

94 citations · 230 across the 14 of their papers we have counts for

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10 papers · 1 filter

cs.CL2024

Distillation Contrastive Decoding: Improving LLMs Reasoning with Contrastive Decoding and Distillation

Phuc Phan, Hieu Tran, Long Phan

We propose a straightforward approach called Distillation Contrastive Decoding (DCD) to enhance the reasoning capabilities of Large Language Models (LLMs) during inference. In cont…

cs.CL2023★ 6 cited

Prompting Multilingual Large Language Models to Generate Code-Mixed Texts: The Case of South East Asian Languages

Zheng-Xin Yong, Ruochen Zhang, Jessica Zosa Forde +12

While code-mixing is a common linguistic practice in many parts of the world, collecting high-quality and low-cost code-mixed data remains a challenge for natural language processi…

cs.CL2022★ 9 cited

MTet: Multi-domain Translation for English and Vietnamese

Chinh Ngo, Trieu H. Trinh, Long Phan +5

We introduce MTet, the largest publicly available parallel corpus for English-Vietnamese translation. MTet consists of 4.2M high-quality training sentence pairs and a multi-domain…

cs.CL2022

Enriching Biomedical Knowledge for Low-resource Language Through Large-Scale Translation

Long Phan, Tai Dang, Hieu Tran +4

Biomedical data and benchmarks are highly valuable yet very limited in low-resource languages other than English such as Vietnamese. In this paper, we make use of a state-of-the-ar…

cs.CL2022★ 1 cited

ViT5: Pretrained Text-to-Text Transformer for Vietnamese Language Generation

Long Phan, Hieu Tran, Hieu Nguyen +1

We present ViT5, a pretrained Transformer-based encoder-decoder model for the Vietnamese language. With T5-style self-supervised pretraining, ViT5 is trained on a large corpus of h…

cs.CL2021★ 4 cited

VieSum: How Robust Are Transformer-based Models on Vietnamese Summarization?

Hieu Nguyen, Long Phan, James Anibal +2

Text summarization is a challenging task within natural language processing that involves text generation from lengthy input sequences. While this task has been widely studied in E…

cs.CL2021

SPBERT: An Efficient Pre-training BERT on SPARQL Queries for Question Answering over Knowledge Graphs

Hieu Tran, Long Phan, James Anibal +2

In this paper, we propose SPBERT, a transformer-based language model pre-trained on massive SPARQL query logs. By incorporating masked language modeling objectives and the word str…

cs.CL2021★ 94 cited

SciFive: a text-to-text transformer model for biomedical literature

Long N. Phan, James T. Anibal, Hieu Tran +4

In this report, we introduce SciFive, a domain-specific T5 model that has been pre-trained on large biomedical corpora. Our model outperforms the current SOTA methods (i.e. BERT, B…

cs.CL2021

Hierarchical Transformer Encoders for Vietnamese Spelling Correction

Hieu Tran, Cuong V. Dinh, Long Phan +1

In this paper, we propose a Hierarchical Transformer model for Vietnamese spelling correction problem. The model consists of multiple Transformer encoders and utilizes both charact…

cs.CL2020★ 1 cited

Leveraging Transfer Learning for Reliable Intelligence Identification on Vietnamese SNSs (ReINTEL)

Trung-Hieu Tran, Long Phan, Truong-Son Nguyen +1

This paper proposed several transformer-based approaches for Reliable Intelligence Identification on Vietnamese social network sites at VLSP 2020 evaluation campaign. We exploit bo…