Tong Sun
28 papers · 2019–2026 · 11 venues · across top CS/AI venues
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Machine Learning
(18)
Deep Learning
(15)
Artificial Intelligence
(11)
Core AI
(11)
Learning Types Β· Machine Learning
(11)
Computer Vision
(8)
Natural Language Processing
(6)
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(6)
Learning Types Β· Deep Learning
(6)
Models
(6)
Techniques
(5)
Applications Β· Natural Language Processing
(4)
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(4)
Computer Science
(3)
Applications Β· Computer Science
(3)
Keywords
document understanding
(4)
multimodal learning
(3)
question answering
(3)
large language model
(3)
diffusion model
(3)
image generation
(2)
contrastive learning
(2)
multimodal large language model
(2)
semantic segmentation
(2)
self-supervised learning
(2)
generative model
(2)
text-to-image generation
(2)
local attention
(1)
shortcut learning
(1)
adversarial robustness
(1)
certified robustness
(1)
transformer architecture
(1)
adversarial learning
(1)
text-to-image synthesis
(1)
image classification
(1)
Papers
OIDA-QA: A Multimodal Benchmark for Analyzing the Opioid Industry Documents Archive
AAAI 2026
ARTIST: Improving the Generation of Text-Rich Images with Disentangled Diffusion Models and Large Language Models
WACV 2025
MoDS: Moderating a Mixture of Document Speakers to Summarize Debatable Queries in Document Collections
NAACL 2025
Numerical Pruning for Efficient Autoregressive Models
AAAI 2025
Persona-SQ: A Personalized Suggested Question Generation Framework For Real-world Documents
NAACL 2025
SV-RAG: LoRA-Contextualizing Adaptation of MLLMs for Long Document Understanding
ICLR 2025
Adaptive Simultaneous Sign Language Translation with Confident Translation Length Estimation
COLING 2024
ADOPD: A Large-Scale Document Page Decomposition Dataset
ICLR 2024
ATLAS: A System for PDF-centric Human Interaction Data Collection
NAACL 2024
Automatic Layout Planning for Visually-Rich Documents with Instruction-Following Models
ACL 2024
Customization Assistant for Text-to-Image Generation
CVPR 2024
DocPilot: Copilot for Automating PDF Edit Workflows in Documents
ACL 2024
MATSA: Multi-Agent Table Structure Attribution
EMNLP 2024
SOHES: Self-supervised Open-world Hierarchical Entity Segmentation
ICLR 2024
TRINS: Towards Multimodal Language Models that Can Read
CVPR 2024
A Critical Analysis of Document Out-of-Distribution Detection
EMNLP 2023
Label-Retrieval-Augmented Diffusion Models for Learning from Noisy Labels
NeurIPS 2023
Learning Adaptive Axis Attentions in Fine-tuning: Beyond Fixed Sparse Attention Patterns
ACL 2022
MGDoc: Pre-training with Multi-granular Hierarchy for Document Image Understanding
EMNLP 2022
TiGAN: Text-Based Interactive Image Generation and Manipulation
AAAI 2022
Towards Language-Free Training for Text-to-Image Generation
CVPR 2022
Open-Domain Question Answering with Pre-Constructed Question Spaces
NAACL 2021
Towards Interpreting and Mitigating Shortcut Learning Behavior of NLU models
NAACL 2021
UniDoc: Unified Pretraining Framework for Document Understanding
NeurIPS 2021
Cross-Domain Document Object Detection: Benchmark Suite and Method
CVPR 2020
Scalable Differential Privacy with Certified Robustness in Adversarial Learning
ICML 2020
Self-Supervised Relationship Probing
NeurIPS 2020
CLVSA: A Convolutional LSTM Based Variational Sequence-to-Sequence Model with Attention for Predicting Trends of Financial Markets
IJCAI 2019