Thanh-Tung Nguyen
13 papers · 2019–2025 · 6 venues · across top CS/AI venues
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🗺️ Taxonomy Completionist (35) 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🌍 Conference Polyglot · Silver 🧬 Topic Evolution
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Research topics
Natural Language Processing
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Machine Learning
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Deep Learning
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Artificial Intelligence
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Healthcare & Medicine
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Clinical
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Learning Types · Machine Learning
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Keywords
large language model
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domain adaptation
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text classification
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constituency parsing
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data augmentation
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discourse parsing
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beam search
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top-down decoding
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knowledge distillation
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text mining
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transfer learning
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attention mechanism
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representation learning
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machine translation
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hierarchical classification
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syntactic parsing
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semi-supervised learning
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named entity recognition
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chain-of-thought reasoning
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natural language processing
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Papers
LLMs are not Zero-Shot Reasoners for Biomedical Information Extraction
NAACL 2025
MEDSAGE: Enhancing Robustness of Medical Dialogue Summarization to ASR Errors with LLM-generated Synthetic Dialogues
AAAI 2025
A Comprehensive Survey of Sentence Representations: From the BERT Epoch to the CHATGPT Era and Beyond
EACL 2024
MetaWeather: Few-Shot Weather-Degraded Image Restoration
ECCV 2024
M-QALM: A Benchmark to Assess Clinical Reading Comprehension and Knowledge Recall in Large Language Models via Question Answering
ACL 2024
A Two-Stage Decoder for Efficient ICD Coding
ACL 2023
Team:PULSAR at ProbSum 2023:PULSAR: Pre-training with Extracted Healthcare Terms for Summarising Patients’ Problems and Data Augmentation with Black-box Large Language Models
ACL 2023
A Conditional Splitting Framework for Efficient Constituency Parsing
ACL 2021
Cross-model Back-translated Distillation for Unsupervised Machine Translation
ICML 2021
RST Parsing from Scratch
NAACL 2021
Differentiable Window for Dynamic Local Attention
ACL 2020
Efficient Constituency Parsing by Pointing
ACL 2020
Adaptation of Hierarchical Structured Models for Speech Act Recognition in Asynchronous Conversation
NAACL 2019