四篇论文被DAC'2025接收

四篇关于高效大语言模型的论文被DAC'2025接收为正式论文。

四篇关于高效大语言模型的论文:

  • HybriMoE: Hybrid CPU-GPU Scheduling and Cache Management for Efficient MoE Inference
  • SpecASR: Accelerating LLM-based Automatic Speech Recognition via Speculative Decoding
  • UniCAIM: A Unified CAM/CIM Architecture with Static-Dynamic KV Cache Pruning for Efficient Long-Context LLM Inference
  • ReaLM: Reliable and Efficient Large Language Model Inference with Statistical Algorithm-Based Fault Tolerance