Author

Shang Liu

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Preprint Oct 2026

CorrectRTL: Boost RTL Generation Quality Through Automated Self-Correction with Instruction Decomposition

Large language models (LLMs) have shown strong promise in specification-to-RTL generation. Among the explorations, the self-correction paradigm has significantly advanced LLM-based RTL generation. However, two challenges limit further progress. Existing benchmarks are saturated by advanced LLMs, leaving little room to...

Jing Wang, Shang Liu, Han Zhou et al. · 0 citations

Preprint Aug 2026

FABO: Agent-Guided Discovery of Joint Breakpoint Optimization for Timing-Driven Routing Trees

Whether language-model-guided search can discover a constructive algorithm that improves on SALT is asked, and an agent framework that combines parallel exploration with independent checking is developed that combines parallel exploration with independent checking is developed.

Shang Liu, Wenji Fang, Jing Wang et al. · 0 citations

Preprint Aug 2026

G-Power: Architecture-level GPU Power Modeling with Aggregated Knowledge Foundations from Known GPUs

G-Power, an architecture-level GPU power modeling framework that utilizes additional known GPU chips to provide additional knowledge and adopts a three-phase algorithm consisting of pre-training with additional known chips, attention-inspired aggregation, and fine-tuning on the target GPU.

Qi-Jun Zhang, Yao Lu, Shang Liu et al. · 0 citations