Papers

• Qwen3.5-Omni Technical Report (2026)
  Qwen Team
  7.08
• Hybrid Linear Attention Done Right: Efficient Distillation and Effective Architectures for Extremely Long Contexts (2026)
  Yingfa Chen et al.
  1.94
• Nemotron 3 Ultra: Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Model for Agentic Reasoning (2026)
  NVIDIA et al.
  1.94
• Think Only When You Need with Large Hybrid-Reasoning Models (2025)
  Lingjie Jiang et al.
  1.28
• Uncertainty-Based Methods for Automated Process Reward Data Construction and Output Aggregation in Mathematical Reasoning (2025)
  Jiuzhou Han et al.
  1.28
• Towards a Unified View of Large Language Model Post-Training (2025)
  Xingtai Lv et al.
  1.28
• Native Hybrid Attention for Efficient Sequence Modeling (2025)
  Jusen Du et al.
  1.28
• Towards a Science of Scaling Agent Systems (2025)
  Yubin Kim et al.
  1.28
• Hybrid Attribution Priors for Explainable and Robust Model Training (2025)
  Zhuoran Zhang et al.
  1.28