Papers

• STEEL: Sparsity-Aware Fused Attention for Energy-Efficient Long-Sequence Inference on AMD's XDNA NPU (2026)
  Victor J. B. Jung et al.
  4.95
• AEVAL: From Anecdotal to Deterministic Testing for Agentic Skill Workflows (2026)
  Tejas Singh Anand et al.
  1.94
• Topology-Aware Data Movement for Disaggregated GPU Inference (2026)
  Sanjeev Rao Ganjihal
  1.94
• Reflected UAS: Corrected Deterministic Stability and Direct CTMC Drift Calculation (2026)
  Krishna Subedi
  1.94
• Lightweight Neural Networks for Affordance Segmentation: Enhancement of the Decoder Module (2026)
  Simone Lugani et al.
  1.94
• DyLLM: Efficient Diffusion LLM Inference via Saliency-based Token Selection and Partial Attention (2026)
  Younjoo Lee and Seungkyun Dan and Junghoo Lee and Jaiyoung Park and Jung Ho Ahn
  1.72
• A Diffusion-Based Framework for Configurable and Realistic Multi-Storage Trace Generation (2025)
  Seohyun Kim et al.
  1.39
• Generative diffusion model surrogates for mechanistic agent-based biological models (2025)
  Tien Comlekoglu et al.
  1.17
• FastCache: Fast Caching for Diffusion Transformer Through Learnable Linear Approximation (2025)
  Dong Liu et al.
  1.17
• SnapGen-V: Generating a Five-Second Video within Five Seconds on a Mobile Device (2024)
  Yushu Wu et al.
  1.00
• Beyond Black-Box Advice: Learning-Augmented Algorithms for MDPs with Q-Value Predictions (2023)
  Tongxin Li et al.
  —
• PipeFusion: Patch-level Pipeline Parallelism for Diffusion Transformers Inference (2024)
  Jiarui Fang et al.
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