Papers

• Qwen3.5-Omni Technical Report (2026)
  Qwen Team
  7.08
• DECO: Sparse Mixture-of-Experts with Dense-Comparable Performance on End-Side Devices (2026)
  Chenyang Song et al.
  1.94
• Confidence-Adaptive SwiGLU for Mixture-of-Experts (2026)
  Shaohua Li et al.
  1.94
• Beyond SFT-to-RL: Pre-alignment via Black-Box On-Policy Distillation for Multimodal RL (2026)
  Sudong Wang et al.
  1.83
• Make LoRA Great Again: Boosting LoRA with Adaptive Singular Values and Mixture-of-Experts Optimization Alignment (2025)
  Chenghao Fan et al.
  1.28
• SAIL-VL2 Technical Report (2025)
  Weijie Yin et al.
  1.28
• Rewiring Experts on the Fly:Continuous Rerouting for Better Online Adaptation in Mixture-of-Expert models (2025)
  Guinan Su et al.
  1.28
• Every Step Evolves: Scaling Reinforcement Learning for Trillion-Scale Thinking Model (2025)
  Ling Team et al.
  1.28
• From Sparse to Soft Mixtures of Experts (2023)
  Joan Puigcerver et al.
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• Memory Augmented Language Models through Mixture of Word Experts (2023)
  Cicero Nogueira dos Santos et al.
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• MoE-Mamba: Efficient Selective State Space Models with Mixture of Experts (2024)
  Maciej Pióro et al.
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• NeKo: Toward Post Recognition Generative Correction Large Language Models with Task-Oriented Experts (2024)
  Yen-Ting Lin et al.
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