Redundancy Principles for MLLMs Benchmarks
Paper • 2501.13953 • Published • 29
Novel
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Autonomy-of-Experts Models
Paper • 2501.13074 • Published • 44 -
Distillation Scaling Laws
Paper • 2502.08606 • Published • 48 -
Large Language Diffusion Models
Paper • 2502.09992 • Published • 128 -
I-Con: A Unifying Framework for Representation Learning
Paper • 2504.16929 • Published • 31 -
Parallel Scaling Law for Language Models
Paper • 2505.10475 • Published • 83 -
UMoE: Unifying Attention and FFN with Shared Experts
Paper • 2505.07260 • Published • 9 -
Scaling Law for Quantization-Aware Training
Paper • 2505.14302 • Published • 79 -
Seed Diffusion: A Large-Scale Diffusion Language Model with High-Speed Inference
Paper • 2508.02193 • Published • 139 -
Scaling Laws for Optimal Data Mixtures
Paper • 2507.09404 • Published • 38