Policy-Mask: Budget-Aware Adaptation of Diffusion Features to Discriminative Tasks Paper • 2610.28889 • Published 13 days ago • 51
view article Article Mixture of Experts Explained +4 osanseviero, lewtun, philschmid, smangrul, ybelkada, pcuenq • Dec 11, 2023 • 1.2k
E-MoE Collection E-MoE: Enhanced Mixture-of-Experts for Non-Factorized Diffusion Language Models. LM1B checkpoints: E-MoE and the MDLM / MDLM-MoE baselines. • 4 items • Updated 25 days ago
Beyond Memory: Harnessing Long-Horizon Agents with Explicit Belief States Paper • 2610.01415 • Published Oct 1 • 64
E-MoE: Enhanced Mixture-of-Experts for Non-Factorized Diffusion Language Models Paper • 2609.37533 • Published Sep 29 • 45
E-MoE: Enhanced Mixture-of-Experts for Non-Factorized Diffusion Language Models Paper • 2609.37533 • Published Sep 29 • 45
Decentralized Master-Mind: Joint Action Refinement through Iterative Intent Denoising in Multi-Agent Pathfinding Paper • 2609.32019 • Published Sep 25 • 39
E-MoE: Enhanced Mixture-of-Experts for Non-Factorized Diffusion Language Models Paper • 2609.37533 • Published Sep 29 • 45
Unmask the State: When Does State Adaptation Matter for Masked Diffusion Language Models Paper • 2609.33355 • Published Sep 27 • 26