Author

Zhi-Chen Zeng

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Preprint Oct 2026

Step-dLLM: Adaptive Step-aware Sparse Attention for Efficient Diffusion LLM Inference

Diffusion large language models (dLLMs) generate tokens in parallel via iterative denoising, but their bidirectional attention prevents the KV caching used by autoregressive models and recomputes the full attention map at every step, incurring quadratic per-step cost. Existing sparse attention methods for dLLMs constru...

Zhi-Chen Zeng, Xi-Chong Zhang, Jun-Pan Wu et al. · 0 citations

Preprint Aug 2026

PTXBench: Benchmarking and Adapting LLMs for GPU Kernel Optimization with Architecture-specific PTX

PTXBench provides an auditable testbed for measuring and improving LLMs'ability to exploit evolving GPU architectures, and shows that architecture-specific PTX capability remains uneven.

Genghan Zhang, Yi-Xin Dong, Chengze Fan et al. · 1 citation

#machine learning Preprint Sep 2026

Miles v0.1: Production-Level Post-Training

Miles v0.1 is presented, a full-stack, production-ready system for frontier post-training reinforcement-learning training, which supports LoRA RL, on-policy distillation, supervised fine-tuning, and true-on-policy rollout-training alignment, and extends the same architecture to diffusion models.

R. Chen, Ma Cheng, Shi Dong et al. · 1 citation

#natural language process... Preprint Aug 2026

PTXBench: Benchmark and Adapt LLMs for GPU Kernel Optimization with Architecture-specific PTX

PTXBench provides an auditable testbed for measuring and improving LLMs'ability to exploit evolving GPU architectures, and shows that architecture-specific PTX capability remains uneven.

Genghan Zhang, Yixin Dong, Chengze Fan et al. · 1 citation