Papers

• dVoting: Fast Voting for dLLMs (2026)
  Sicheng Feng et al.
  1.94
• NGM: A Plug-and-Play Training-Free Memory Module for LLMs (2026)
  Yuwen Qu et al.
  1.94
• dMoE: dLLMs with Learnable Block Experts (2026)
  Sicheng Feng et al.
  1.94
• Plan and Budget: Effective and Efficient Test-Time Scaling on Large Language Model Reasoning (2025)
  Junhong Lin et al.
  1.28
• R2R: Efficiently Navigating Divergent Reasoning Paths with Small-Large Model Token Routing (2025)
  Tianyu Fu et al.
  1.22
• RouterEval: A Comprehensive Benchmark for Routing LLMs to Explore Model-level Scaling Up in LLMs (2025)
  Zhongzhan Huang et al.
  1.11
• xLSTM 7B: A Recurrent LLM for Fast and Efficient Inference (2025)
  Maximilian Beck et al.
  1.11
• Discovering the Gems in Early Layers: Accelerating Long-Context LLMs with 1000x Input Token Reduction (2024)
  Zhenmei Shi et al.
  —
• SynerGen-VL: Towards Synergistic Image Understanding and Generation with Vision Experts and Token Folding (2024)
  Hao Li et al.
  —