Shuhuai Ren
20 papers · 2019–2026 · 8 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (42) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Mega-Team Β· Squad
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Keyword Pioneer
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Dynamic Duo
(14)
π§¬
Topic Evolution
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Renaissance Researcher
(5)
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The Questioner
(2)
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Prolific Year Β· Productive
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Century Club Β· Bronze
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Keyword Collector
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Top co-authors
Research topics
Machine Learning
(13)
Artificial Intelligence
(11)
Deep Learning
(11)
Core AI
(11)
Computer Vision
(8)
Application Areas
(7)
Learning Types Β· Deep Learning
(7)
Models
(7)
Natural Language Processing
(5)
Generation
(5)
Learning Types Β· Machine Learning
(4)
Core Methods
(3)
Resources & Methods
(3)
Analysis
(2)
Applications
(2)
Keywords
multimodal large language model
(5)
image generation
(3)
vision-language model
(3)
video understanding
(3)
autoregressive model
(3)
multimodal learning
(3)
text classification
(2)
knowledge distillation
(2)
pre-trained language model
(2)
benchmark evaluation
(2)
video large language model
(2)
instruction tuning
(2)
zero-shot learning
(2)
image captioning
(2)
open-vocabulary recognition
(2)
data augmentation
(1)
video captioning
(1)
representation learning
(1)
direct preference optimization
(1)
visual grounding
(1)
Papers
GroundingME: Exposing the Visual Grounding Gap in MLLMs through Multi-Dimensional Evaluation
CVPR 2026
TEMPLE: Incentivizing Temporal Understanding of Video Large Language Models via Progressive Pre-SFT Alignment
AAAI 2026
Bridging Continuous and Discrete Tokens for Autoregressive Visual Generation
ICCV 2025
Parallelized Autoregressive Visual Generation
CVPR 2025
RICO: Improving Accuracy and Completeness in Image Recaptioning via Visual Reconstruction
EMNLP 2025
Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis
CVPR 2025
LaDiC: Are Diffusion Models Really Inferior to Autoregressive Counterparts for Image-to-Text Generation?
NAACL 2024
PCA-Bench: Evaluating Multimodal Large Language Models in Perception-Cognition-Action Chain
ACL 2024
TempCompass: Do Video LLMs Really Understand Videos?
ACL 2024
TimeChat: A Time-sensitive Multimodal Large Language Model for Long Video Understanding
CVPR 2024
VITATECS: A Diagnostic Dataset for Temporal Concept Understanding of Video-Language Models
ECCV 2024
Delving into the Openness of CLIP
ACL 2023
FETV: A Benchmark for Fine-Grained Evaluation of Open-Domain Text-to-Video Generation
NeurIPS 2023
Prompt Pre-Training with Twenty-Thousand Classes for Open-Vocabulary Visual Recognition
NeurIPS 2023
TESTA: Temporal-Spatial Token Aggregation for Long-form Video-Language Understanding
EMNLP 2023
CascadeBERT: Accelerating Inference of Pre-trained Language Models via Calibrated Complete Models Cascade
EMNLP 2021
Dynamic Knowledge Distillation for Pre-trained Language Models
EMNLP 2021
Learning Relation Alignment for Calibrated Cross-modal Retrieval
ACL 2021
Text AutoAugment: Learning Compositional Augmentation Policy for Text Classification
EMNLP 2021
Generating Natural Language Adversarial Examples through Probability Weighted Word Saliency
ACL 2019