Tu Vu | DeepAI

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Featured Co-authors

Trevor Darrell
209 publications
Quoc V. Le
113 publications
Kurt Keutzer
112 publications
Anh Nguyen
80 publications
Yi Tay
76 publications
Tong Wang
62 publications
Subhransu Maji
61 publications
Jingbo Shang
61 publications
Mohit Iyyer
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Hong Yu
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Jacob Eisenstein
54 publications

∙ 05/24/2023

Flan-MoE: Scaling Instruction-Finetuned Language Models with Sparse Mixture of Experts

The explosive growth of language models and their applications have led ...

0 Sheng Shen, et al. ∙

∙ 05/01/2023

Multi-scale Transformer-based Network for Emotion Recognition from Multi Physiological Signals

This paper presents an efficient Multi-scale Transformer-based approach ...

0 Tu Vu, et al. ∙

∙ 03/16/2023

Vision Transformer for Action Units Detection

Facial Action Units detection (FAUs) represents a fine-grained classific...

0 Tu Vu, et al. ∙

∙ 01/31/2023

The Flan Collection: Designing Data and Methods for Effective Instruction Tuning

We study the design decisions of publicly available instruction tuning m...

0 Shayne Longpre, et al. ∙

∙ 01/25/2023

ViDeBERTa: A powerful pre-trained language model for Vietnamese

This paper presents ViDeBERTa, a new pre-trained monolingual language mo...

0 Cong Dao Tran, et al. ∙

∙ 11/02/2022

Dialect-robust Evaluation of Generated Text

Evaluation metrics that are not robust to dialect variation make it impo...

0 Jiao Sun, et al. ∙

∙ 05/25/2022

Overcoming Catastrophic Forgetting in Zero-Shot Cross-Lingual Generation

In this paper, we explore the challenging problem of performing a genera...

6 Tu Vu, et al. ∙

∙ 05/25/2022

Intermediate Training on Question Answering Datasets Improves Generative Data Augmentation

Manually annotating datasets requires domain experts to read through man...

0 Dheeraj Mekala, et al. ∙

∙ 10/15/2021

SPoT: Better Frozen Model Adaptation through Soft Prompt Transfer

As pre-trained language models have gotten larger, there has been growin...

5 Tu Vu, et al. ∙

∙ 09/13/2021

STraTA: Self-Training with Task Augmentation for Better Few-shot Learning

Despite their recent successes in tackling many NLP tasks, large-scale p...

0 Tu Vu, et al. ∙

∙ 05/02/2020

Exploring and Predicting Transferability across NLP Tasks

Recent advances in NLP demonstrate the effectiveness of training large-s...

0 Tu Vu, et al. ∙

∙ 06/09/2019

Encouraging Paragraph Embeddings to Remember Sentence Identity Improves Classification

While paragraph embedding models are remarkably effective for downstream...

0 Tu Vu, et al. ∙

∙ 04/24/2018

Integrating Multiplicative Features into Supervised Distributional Methods for Lexical Entailment

Supervised distributional methods are applied successfully in lexical en...

0 Tu Vu, et al. ∙

∙ 04/20/2018

Sentence Simplification with Memory-Augmented Neural Networks

Sentence simplification aims to simplify the content and structure of co...

0 Tu Vu, et al. ∙

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