Papers

• Dropping the Anchor: Statistical Context Summarization for Distributed Systems via Pulsar Attention (2026)
  Aryan Sood et al.
  5.01
• Adaptive Depth Sparse Framework: Similarity-Driven Resource Allocation for Pre-Trained LLMs (2026)
  Yidu Wu et al.
  5.01
• Windowed-MTP: Removing the Full-Context Draft-KV Tax at Million-Token Context (2026)
  Alagappan Valliappan
  5.01
• QUASAR: Quantum Assembly Code Generation Using Tool-Augmented LLMs via Agentic RL (2025)
  Cong Yu et al.
  3.10
• Union of Experts: Adapting Hierarchical Routing to Equivalently Decomposed Transformer (2025)
  Yujiao Yang et al.
  2.87
• Parallelized Autoregressive Decoding for Omni-Modal Dense Video Captioning (2026)
  Wenzheng Zeng et al.
  2.00
• Hierarchical Sparse Attention Done Right: Toward Infinite Context Modeling (2026)
  Xiang Hu et al.
  2.00
• Flex-Forcing: Towards a Unified Autoregressive and Bidirectional Video Diffusion Model (2026)
  Xinyin Ma et al.
  2.00
• Linear Attention Architectures: Mechanisms, Trade-offs, and Cross-Layer Routing (2026)
  Tommaso Cerruti et al.
  2.00
• dMoE: dLLMs with Learnable Block Experts (2026)
  Sicheng Feng et al.
  1.94
• Linear-MoE: Linear Sequence Modeling Meets Mixture-of-Experts (2025)
  Weigao Sun et al.
  1.28
• Fast-dLLM v2: Efficient Block-Diffusion LLM (2025)
  Chengyue Wu et al.
  1.28
• LEARN Codes: Inventing Low-latency Codes via Recurrent Neural Networks (2018)
  Yihan Jiang et al.
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• A Scalable Graph Neural Network Decoder for Short Block Codes (2022)
  Kou Tian et al.
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• CrossMPT: Cross-attention Message-Passing Transformer for Error Correcting Codes (2024)
  Seong-Joon Park et al.
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• Neural Window Decoder for SC-LDPC Codes (2024)
  Dae-Young Yun et al.
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• SynerGen-VL: Towards Synergistic Image Understanding and Generation with Vision Experts and Token Folding (2024)
  Hao Li et al.
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