Zhongyang Li

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upvoted a paper 29 days ago

Routing Manifold Alignment Improves Generalization of Mixture-of-Experts LLMs

Paper • 2511.07419 • Published 29 days ago • 25

upvoted a paper 5 months ago

Skip a Layer or Loop it? Test-Time Depth Adaptation of Pretrained LLMs

Paper • 2507.07996 • Published Jul 10 • 34

upvoted a paper 6 months ago

Where to find Grokking in LLM Pretraining? Monitor Memorization-to-Generalization without Test

Paper • 2506.21551 • Published Jun 26 • 28

upvoted 3 papers 8 months ago

ColorBench: Can VLMs See and Understand the Colorful World? A Comprehensive Benchmark for Color Perception, Reasoning, and Robustness

Paper • 2504.10514 • Published Apr 10 • 48

How Instruction and Reasoning Data shape Post-Training: Data Quality through the Lens of Layer-wise Gradients

Paper • 2504.10766 • Published Apr 14 • 40

C3PO: Critical-Layer, Core-Expert, Collaborative Pathway Optimization for Test-Time Expert Re-Mixing

Paper • 2504.07964 • Published Apr 10 • 61

upvoted a paper 9 months ago

R2-T2: Re-Routing in Test-Time for Multimodal Mixture-of-Experts

Paper • 2502.20395 • Published Feb 27 • 46