Tung Nguyen
18 papers · 2020–2026 · 7 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+9 more ↓ Show less ↑
π Conference Polyglot (6) πΊοΈ Taxonomy Completionist (12) π§ Keyword Pioneer π Interdisciplinary Bridge π Academic Marathon (5)
π
Academic Marathon
(5)
π
Cross-Pollinator
(4)
π
Renaissance Researcher
(9)
π§¬
Topic Evolution
π
Keyword Champion
(2)
π₯
Unstoppable
(5)
β‘
Prolific Year
(7)
π
Century Club
(16)
ποΈ
Keyword Collector
(90)
Conferences
NIPS (5)
ACL (3)
EMNLP (3)
ICML (3)
NAACL (2)
EACL (1)
ICLR (1)
Top co-authors
Keywords
optimal transport
(5)
topic modeling
(4)
neural topic model
(4)
document representation
(3)
weather forecasting
(3)
in-context learning
(2)
semantic alignment
(2)
foundation model
(2)
transformer architecture
(2)
short text
(2)
representation alignment
(2)
contrastive learning
(2)
topic coherence
(2)
large language model
(2)
variational inference
(1)
knowledge distillation
(1)
self-supervised learning
(1)
binary classification
(1)
sequence modeling
(1)
sharpness-aware minimization
(1)
Papers
Beyond Coherence: Improving Temporal Consistency and Interpretability in Dynamic Topic Models
EACL 2026
SRA: Span Representation Alignment for Large Language Model Distillation
ACL 2026
XTRA: Cross-Lingual Topic Modeling with Topic and Representation Alignments
EMNLP 2025
Topic Modeling for Short Texts via Optimal Transport-Based Clustering
ACL 2025
HiCOT: Improving Neural Topic Models via Optimal Transport and Contrastive Learning
ACL 2025
Multi-Surrogate-Objective Optimization for Neural Topic Models
EMNLP 2025
LICO: Large Language Models for In-Context Molecular Optimization
ICLR 2025
GloCOM: A Short Text Neural Topic Model via Global Clustering Context
NAACL 2025
Sharpness-Aware Minimization for Topic Models with High-Quality Document Representations
NAACL 2025
ChaosBench: A Multi-Channel, Physics-Based Benchmark for Subseasonal-to-Seasonal Climate Prediction
NIPS 2024
Scaling transformer neural networks for skillful and reliable medium-range weather forecasting
NIPS 2024
Probing the Decision Boundaries of In-context Learning in Large Language Models
NIPS 2024
NeuroMax: Enhancing Neural Topic Modeling via Maximizing Mutual Information and Group Topic Regularization
EMNLP 2024
ExPT: Synthetic Pretraining for Few-Shot Experimental Design
NIPS 2023
ClimateLearn: Benchmarking Machine Learning for Weather and Climate Modeling
NIPS 2023
ClimaX: A foundation model for weather and climate
ICML 2023
Transformer Neural Processes: Uncertainty-Aware Meta Learning Via Sequence Modeling
ICML 2022
Predictive Coding for Locally-Linear Control
ICML 2020