2 papers
cs.SE2025
ACECODER: Acing Coder RL via Automated Test-Case Synthesis
Huaye Zeng, Dongfu Jiang, Haozhe Wang +3
Most progress in recent coder models has been driven by supervised fine-tuning (SFT), while the potential of reinforcement learning (RL) remains largely unexplored, primarily due t…
cs.DC2025
Static Batching of Irregular Workloads on GPUs: Framework and Application to Efficient MoE Model Inference
Yinghan Li, Yifei Li, Jiejing Zhang +13
It has long been a problem to arrange and execute irregular workloads on massively parallel devices. We propose a general framework for statically batching irregular workloads into…