Thang Vu
12 papers · 2019–2025 · 6 conferences · across top CS/AI conferences
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NAACL (4)
ACL (3)
EMNLP (2)
AAAI (1)
CVPR (1)
NIPS (1)
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Research topics
Keywords
machine translation
(3)
low-resource language
(3)
data augmentation
(2)
multilingual model
(2)
convolutional neural network
(2)
object detection
(2)
zero-shot learning
(2)
speech translation
(2)
instance segmentation
(2)
domain adaptation
(1)
natural language inference
(1)
transfer learning
(1)
speech recognition
(1)
cross-lingual transfer
(1)
semantic segmentation
(1)
spoken language understanding
(1)
domain generalization
(1)
automatic speech recognition
(1)
text classification
(1)
point cloud
(1)
Papers
The Impact of Code-switched Synthetic Data Quality is Task Dependent: Insights from MT and ASR
NAACL 2025
Understanding the Role of Mental Models in User Interaction with an Adaptive Dialog Agent
NAACL 2025
Please note that Iβm just an AI: Analysis of Behavior Patterns of LLMs in (Non-)offensive Speech Identification
EMNLP 2024
Teaching a Multilingual Large Language Model to Understand Multilingual Speech via Multi-Instructional Training
NAACL 2024
Data Augmentation Techniques for Machine Translation of Code-Switched Texts: A Comparative Study
EMNLP 2023
Meta Learning for Natural Language Processing: A Survey
NAACL 2022
Language-Agnostic Meta-Learning for Low-Resource Text-to-Speech with Articulatory Features
ACL 2022
AmericasNLI: Evaluating Zero-shot Natural Language Understanding of Pretrained Multilingual Models in Truly Low-resource Languages
ACL 2022
BPE vs. Morphological Segmentation: A Case Study on Machine Translation of Four Polysynthetic Languages
ACL 2022
SoftGroup for 3D Instance Segmentation on Point Clouds
CVPR 2022
SCNet: Training Inference Sample Consistency for Instance Segmentation
AAAI 2021
Cascade RPN: Delving into High-Quality Region Proposal Network with Adaptive Convolution
NIPS 2019