papers
Publications (3)
cs.SE2025
CoCo-Bench: A Comprehensive Code Benchmark For Multi-task Large Language Model Evaluation
Wenjing Yin, Tianze Sun, Yijiong Yu +19
Large language models (LLMs) play a crucial role in software engineering, excelling in tasks like code generation and maintenance. However, existing benchmarks are often narrow in…
cs.DC2026
HyperParallel-MoE: Multi-Core Interleaved Scheduling for Fast MoE Training on Ascend NPUs
Zewen Jin, Congkun Ai, Guangpeng Zhang +7
Modern Mixture-of-Experts (MoE) models increasingly rely on large-scale AI accelerator clusters for efficient training. Ascend NPUs expose heterogeneous on-chip compute resources,…
cs.AI2026
SignalClaw: LLM-Guided Evolutionary Synthesis of Interpretable Traffic Signal Control Skills
Da Lei, Feng Xiao, Lu Li +1
Traffic signal control TSC requires strategies that are both effective and interpretable for deployment, yet reinforcement learning produces opaque neural policies while program sy…