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Zhuang Liu

Papers
27

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27papers

Authored papers

27

World Model for Robot Learning: A Comprehensive Survey

arXiv 2026

2026

VideoAuto-R1: Video Auto Reasoning via Thinking Once, Answering Twice

arXiv 2026

2026

FrontierCS: Evolving Challenges for Evolving Intelligence

arXiv 2025

2025

Stronger Normalization-Free Transformers

arXiv 2025

2025

Memorization in 3D Shape Generation: An Empirical Study

arXiv 2025

2025

Meta CLIP 2: A Worldwide Scaling Recipe

arXiv 2025

2025

Mobile-MMLU: A Mobile Intelligence Language Understanding Benchmark

arXiv 2025

2025

SoFlow: Solution Flow Models for One-Step Generative Modeling

arXiv 2025

2025

Idiosyncrasies in Large Language Models

arXiv 2025

2025

Generative Modeling of Weights: Generalization or Memorization?

arXiv 2025

2025

Neural Network Diffusion

arXiv 2024

2024

LongVU: Spatiotemporal Adaptive Compression for Long Video-Language Understanding

arXiv 2024

2024

Eyes Wide Shut? Exploring the Visual Shortcomings of Multimodal LLMs

CVPR 2024 1

2024

Massive Activations in Large Language Models

arXiv 2024

2024

Understanding Bias in Large-Scale Visual Datasets

arXiv 2024

2024

ImageBind: One Embedding Space To Bind Them All

CVPR 2023 1

2023

ConvNeXt V2: Co-designing and Scaling ConvNets with Masked Autoencoders

CVPR 2023 1

2023

A Simple and Effective Pruning Approach for Large Language Models

arXiv 2023

2023

Initializing Models with Larger Ones

arXiv 2023

2023

Dropout Reduces Underfitting

arXiv 2023

2023

One-for-All: Generalized LoRA for Parameter-Efficient Fine-tuning

arXiv 2023

2023

ConvNet vs Transformer, Supervised vs CLIP: Beyond ImageNet Accuracy

arXiv 2023

2023

A ConvNet for the 2020s

CVPR 2022 1

2022

Test-Time Training with Self-Supervision for Generalization under Distribution Shifts

arXiv 2019

2019

Rethinking the Value of Network Pruning

rethinking-the-value-of-network-pruning-1

2018

Densely Connected Convolutional Networks

densely-connected-convolutional-networks-1

2016

Deep Networks with Stochastic Depth

arXiv 2016

2016

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10

from 27 papers