Zhuang Liu
- Papers
- 27
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Authored papers
27World Model for Robot Learning: A Comprehensive Survey
arXiv 2026
VideoAuto-R1: Video Auto Reasoning via Thinking Once, Answering Twice
arXiv 2026
FrontierCS: Evolving Challenges for Evolving Intelligence
arXiv 2025
Stronger Normalization-Free Transformers
arXiv 2025
Memorization in 3D Shape Generation: An Empirical Study
arXiv 2025
Meta CLIP 2: A Worldwide Scaling Recipe
arXiv 2025
Mobile-MMLU: A Mobile Intelligence Language Understanding Benchmark
arXiv 2025
SoFlow: Solution Flow Models for One-Step Generative Modeling
arXiv 2025
Idiosyncrasies in Large Language Models
arXiv 2025
Generative Modeling of Weights: Generalization or Memorization?
arXiv 2025
Neural Network Diffusion
arXiv 2024
LongVU: Spatiotemporal Adaptive Compression for Long Video-Language Understanding
arXiv 2024
Eyes Wide Shut? Exploring the Visual Shortcomings of Multimodal LLMs
CVPR 2024 1
Massive Activations in Large Language Models
arXiv 2024
Understanding Bias in Large-Scale Visual Datasets
arXiv 2024
ImageBind: One Embedding Space To Bind Them All
CVPR 2023 1
ConvNeXt V2: Co-designing and Scaling ConvNets with Masked Autoencoders
CVPR 2023 1
A Simple and Effective Pruning Approach for Large Language Models
arXiv 2023
Initializing Models with Larger Ones
arXiv 2023
Dropout Reduces Underfitting
arXiv 2023
One-for-All: Generalized LoRA for Parameter-Efficient Fine-tuning
arXiv 2023
ConvNet vs Transformer, Supervised vs CLIP: Beyond ImageNet Accuracy
arXiv 2023
A ConvNet for the 2020s
CVPR 2022 1
Test-Time Training with Self-Supervision for Generalization under Distribution Shifts
arXiv 2019
Rethinking the Value of Network Pruning
rethinking-the-value-of-network-pruning-1
Densely Connected Convolutional Networks
densely-connected-convolutional-networks-1
Deep Networks with Stochastic Depth
arXiv 2016
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