SAE Interprets MoE: Sparse AutoEncoders Reveal That MoE Experts Exhibit Human-Interpretable Fine-Grained Specialization Paper • 2611.08089 • Published 3 days ago • 9
Channel Selection for Mixture-of-Experts Decoding Needs No Calibration Data Paper • 2610.37386 • Published 12 days ago • 26
Speculative Forcing for Efficient Autoregressive Video Generation Paper • 2610.22347 • Published 24 days ago • 79
Kandinsky 6.0 Video: Foundation Models for Synchronized Video and Audio Generation Paper • 2610.05608 • Published Oct 4 • 160
TRACE: Rollout-Guided Quantization-Aware Training for FP4 Reinforcement Learning of MoE Language Models Paper • 2610.07767 • Published Oct 6 • 43
The Other Half of the Memory Wall: Serving 35B MoEs from SSD with Trained Routing Prediction Paper • 2609.18063 • Published Sep 16 • 30
AuK Technical Report: An Open-Source Foundational Model for Speech Generation and Editing Paper • 2609.08936 • Published Sep 8 • 137
Why Gated DeltaNet Survives 4-Bit Quantization: NVFP4 W4A4 for the Recurrent Half of a Hybrid 27B LLM Paper • 2609.04098 • Published Sep 3 • 24
Repo-To-Skill: Distilling GitHub Repositories Into AI4AI Skills Paper • 2609.02749 • Published Sep 2 • 147
Metis Collection Metis persistent-memory model family based on Qwen3.5, including 4B, 9B, and 27B parameter scales. • 4 items • Updated Jul 31 • 8
CineMobile: On-Device Image-to-Video Diffusion for Cinematic Camera Motion Generation Paper • 2607.03803 • Published Jul 4 • 17