4 citations · 5 across the 8 of their papers we have counts for
8 papers
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…
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…
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…
Evolution of Optimization Algorithms for Global Placement via Large Language Models
Xufeng Yao, Jiaxi Jiang, Yuxuan Zhao +3
Optimization algorithms are widely employed to tackle complex problems, but designing them manually is often labor-intensive and requires significant expertise. Global placement is…
RTLRewriter: Methodologies for Large Models aided RTL Code Optimization
Xufeng Yao, Yiwen Wang, Xing Li +6
Register Transfer Level (RTL) code optimization is crucial for enhancing the efficiency and performance of digital circuits during early synthesis stages. Currently, optimization r…
HDLdebugger: Streamlining HDL debugging with Large Language Models
Xufeng Yao, Haoyang Li, Tsz Ho Chan +5
In the domain of chip design, Hardware Description Languages (HDLs) play a pivotal role. However, due to the complex syntax of HDLs and the limited availability of online resources…
ChatPattern: Layout Pattern Customization via Natural Language
Zixiao Wang, Yunheng Shen, Xufeng Yao +4
Existing works focus on fixed-size layout pattern generation, while the more practical free-size pattern generation receives limited attention. In this paper, we propose ChatPatter…
p-Laplacian Adaptation for Generative Pre-trained Vision-Language Models
Haoyuan Wu, Xinyun Zhang, Peng Xu +3
Vision-Language models (VLMs) pre-trained on large corpora have demonstrated notable success across a range of downstream tasks. In light of the rapidly increasing size of pre-trai…