Tu Vu
17 papers · 2018–2025 · 6 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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π Interdisciplinary Bridge Β· Silver π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π£ Hot Topic Early Bird πΊοΈ Taxonomy Completionist (43)
π₯
Mega-Team Β· Squad
π
Century Club Β· Bronze
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Keyword Collector
(81)
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Unstoppable Β· Bronze
Top co-authors
Research topics
Machine Learning
(13)
Natural Language Processing
(11)
Artificial Intelligence
(8)
Deep Learning
(7)
Application Areas
(6)
Core Methods
(6)
Learning Types Β· Machine Learning
(6)
Resources & Methods
(6)
Learning Paradigms
(5)
Learning Types Β· Deep Learning
(5)
Applications
(4)
Core AI
(3)
Generation
(3)
Models
(2)
Optimization & Theory
(2)
Keywords
language model
(4)
question answering
(4)
large language model
(4)
transfer learning
(3)
optimal transport
(3)
few-shot learning
(2)
text classification
(2)
zero-shot learning
(2)
instruction tuning
(2)
prompt tuning
(2)
text generation
(2)
embedding learning
(2)
self-supervised learning
(1)
semi-supervised learning
(1)
representation learning
(1)
sequence labeling
(1)
topic modeling
(1)
domain adaptation
(1)
catastrophic forgetting
(1)
data augmentation
(1)
Papers
Efficient Model Development through Fine-tuning Transfer
EMNLP 2025
EMO: Embedding Model Distillation via Intra-Model Relation and Optimal Transport Alignments
EMNLP 2025
HiCOT: Improving Neural Topic Models via Optimal Transport and Contrastive Learning
ACL 2025
Topic Modeling for Short Texts via Optimal Transport-Based Clustering
ACL 2025
Foundational Autoraters: Taming Large Language Models for Better Automatic Evaluation
EMNLP 2024
FreshLLMs: Refreshing Large Language Models with Search Engine Augmentation
ACL 2024
Mixture-of-Experts Meets Instruction Tuning: A Winning Combination for Large Language Models
ICLR 2024
Dialect-robust Evaluation of Generated Text
ACL 2023
The Flan Collection: Designing Data and Methods for Effective Instruction Tuning
ICML 2023
ViDeBERTa: A powerful pre-trained language model for Vietnamese
EACL 2023
Leveraging QA Datasets to Improve Generative Data Augmentation
EMNLP 2022
Overcoming Catastrophic Forgetting in Zero-Shot Cross-Lingual Generation
EMNLP 2022
SPoT: Better Frozen Model Adaptation through Soft Prompt Transfer
ACL 2022
STraTA: Self-Training with Task Augmentation for Better Few-shot Learning
EMNLP 2021
Exploring and Predicting Transferability across NLP Tasks
EMNLP 2020
Encouraging Paragraph Embeddings to Remember Sentence Identity Improves Classification
ACL 2019
Sentence Simplification with Memory-Augmented Neural Networks
NAACL 2018