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cs.LG2026
MacroAgent: Regularity-Aware Macro Legalization with LLM-Agent-Designed Contour Algorithms
Jiaxi Jiang, Xufeng Yao, Yuxuan Zhao +5
Macros constitute a large part of the core area in modern very large-scale integration (VLSI) designs. Moreover, macro positions have a significant impact on the final quality of r…
cs.AR2026
LongRTL: Graph-Similarity-Guided LLM-driven Long Context RTL Optimization
Yuyang Ye, Che-Kuan Shen, Xiangfei Hu +5
Large Language Models (LLMs) show great promise in RTL code generation and optimization. However, real-world RTL designs are typically long, entangled, and poorly modularized, posi…
cs.AR2026
CPPL: A Circuit Prompt Programming Language
Shuo Yin, Yihe Wang, Lancheng Zou +6
Large language models (LLMs) have shown promise in register-transfer level (RTL) design automation, but direct RTL generation remains difficult to validate, optimize, and integrate…