Luqing Zhao

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upvoted 3 papers 7 months ago

Taming LLMs by Scaling Learning Rates with Gradient Grouping

Paper • 2506.01049 • Published Jun 1, 2025 • 38

DexUMI: Using Human Hand as the Universal Manipulation Interface for Dexterous Manipulation

Paper • 2505.21864 • Published May 28, 2025 • 9

OMNIGUARD: An Efficient Approach for AI Safety Moderation Across Modalities

Paper • 2505.23856 • Published May 29, 2025 • 2

upvoted 17 papers 9 months ago

X-Teaming: Multi-Turn Jailbreaks and Defenses with Adaptive Multi-Agents

Paper • 2504.13203 • Published Apr 15, 2025 • 35

Are VLMs Ready for Autonomous Driving? An Empirical Study from the Reliability, Data, and Metric Perspectives

Paper • 2501.04003 • Published Jan 7, 2025 • 27

Redundancy Principles for MLLMs Benchmarks

Paper • 2501.13953 • Published Jan 20, 2025 • 29

MatAnyone: Stable Video Matting with Consistent Memory Propagation

Paper • 2501.14677 • Published Jan 24, 2025 • 34

Small Models Struggle to Learn from Strong Reasoners

Paper • 2502.12143 • Published Feb 17, 2025 • 39

AuraFusion360: Augmented Unseen Region Alignment for Reference-based 360° Unbounded Scene Inpainting

Paper • 2502.05176 • Published Feb 7, 2025 • 39

MoM: Linear Sequence Modeling with Mixture-of-Memories

Paper • 2502.13685 • Published Feb 19, 2025 • 36

TimeChat-Online: 80% Visual Tokens are Naturally Redundant in Streaming Videos

Paper • 2504.17343 • Published Apr 24, 2025 • 13

ViSMaP: Unsupervised Hour-long Video Summarisation by Meta-Prompting

Paper • 2504.15921 • Published Apr 22, 2025 • 7

Dynamic Camera Poses and Where to Find Them

Paper • 2504.17788 • Published Apr 24, 2025 • 6

SkyReels-A2: Compose Anything in Video Diffusion Transformers

Paper • 2504.02436 • Published Apr 3, 2025 • 39

Have we unified image generation and understanding yet? An empirical study of GPT-4o's image generation ability

Paper • 2504.08003 • Published Apr 9, 2025 • 49

MergeVQ: A Unified Framework for Visual Generation and Representation with Disentangled Token Merging and Quantization

Paper • 2504.00999 • Published Apr 1, 2025 • 95

You Do Not Fully Utilize Transformer's Representation Capacity

Paper • 2502.09245 • Published Feb 13, 2025 • 37

ConceptAttention: Diffusion Transformers Learn Highly Interpretable Features

Paper • 2502.04320 • Published Feb 6, 2025 • 36

Breaking the Memory Barrier: Near Infinite Batch Size Scaling for Contrastive Loss

Paper • 2410.17243 • Published Oct 22, 2024 • 92

Addition is All You Need for Energy-efficient Language Models

Paper • 2410.00907 • Published Oct 1, 2024 • 151