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The field of integrated circuit (IC) design is highly specialized, presenting significant barriers to entry and research and development challenges. Although large language models (LLMs) have achieved remarkable success in various domains,…

Photonic Integrated Circuits (PICs) provide superior speed, bandwidth, and energy efficiency, making them ideal for communication, sensing, and quantum computing applications. Despite their potential, PIC design workflows and integration…

The automatic generation of Verilog code using Large Language Models (LLMs) has garnered significant interest in hardware design automation. However, existing benchmarks for evaluating LLMs in Verilog generation fall short in replicating…

Machine Learning · Computer Science 2025-07-23 Pengwei Jin , Di Huang , Chongxiao Li , Shuyao Cheng , Yang Zhao , Xinyao Zheng , Jiaguo Zhu , Shuyi Xing , Bohan Dou , Rui Zhang , Zidong Du , Qi Guo , Xing Hu

Analog/Mixed-Signal (AMS) circuits play a critical role in the integrated circuit (IC) industry. However, automating Analog/Mixed-Signal (AMS) circuit design has remained a longstanding challenge due to its difficulty and complexity.…

Machine Learning · Computer Science 2025-10-14 Yichen Shi , Ze Zhang , Hongyang Wang , Zhuofu Tao , Zhongyi Li , Bingyu Chen , Yaxin Wang , Zhen huang , Xuhua Liu , Quan Chen , Zhiping Yu , Ting-Jung Lin , Lei He

Benchmarks are the de facto standard for tracking progress in large language models (LLMs), yet static test sets can rapidly saturate, become vulnerable to contamination, and are costly to refresh. Scalable evaluation of open-ended items…

Computation and Language · Computer Science 2026-03-24 Yandan Zheng , Haoran Luo , Zhenghong Lin , Wenjin Liu , Luu Anh Tuan

In digital circuit design, testbenches constitute the cornerstone of simulation-based hardware verification. Traditional methodologies for testbench generation during simulation-based hardware verification still remain partially manual,…

Software Engineering · Computer Science 2024-08-21 Ruidi Qiu , Grace Li Zhang , Rolf Drechsler , Ulf Schlichtmann , Bing Li

While Large Language Models (LLMs) show significant potential in hardware engineering, current benchmarks suffer from saturation and limited task diversity, failing to reflect LLMs' performance in real industrial workflows. To address this…

Artificial Intelligence · Computer Science 2026-02-03 Zhongkai Yu , Chenyang Zhou , Yichen Lin , Hejia Zhang , Haotian Ye , Junxia Cui , Zaifeng Pan , Jishen Zhao , Yufei Ding

Processor chip design technology serves as a key frontier driving breakthroughs in computer science and related fields. With the rapid advancement of information technology, conventional design paradigms face three major challenges: the…

Design automation has the potential to substantially improve the efficiency of analog integrated circuit (IC) design. However, existing algorithms and tools typically focus on individual stages, such as device sizing, placement, or routing,…

Hardware Architecture · Computer Science 2026-04-24 Xian Rong Qin , Yong Zhang , Ying Hu , Tao Su , Bo-Wen Jia , Ning Xu

Large Language Models (LLMs) have demonstrated remarkable capabilities across various domains, including software development, education, and technical assistance. Among these, software development is one of the key areas where LLMs are…

Computation and Language · Computer Science 2026-01-07 Inpyo Song , Eunji Jeon , Jangwon Lee

Large language models (LLMs) can often generate functionally correct code, but their ability to produce efficient implementations for performance-critical systems tasks remains limited. Existing code benchmarks mainly emphasize correctness…

Software Engineering · Computer Science 2026-05-18 Huihao Jing , Wenbin Hu , Haochen Shi , Hanyu Yang , Sirui Zhang , Shaojin Chen , Haoran Li , Yangqiu Song

Effective processing, interpretation, and management of sensor data have emerged as a critical component of cyber-physical systems. Traditionally, processing sensor data requires profound theoretical knowledge and proficiency in…

Artificial Intelligence · Computer Science 2025-04-01 Pengrui Quan , Xiaomin Ouyang , Jeya Vikranth Jeyakumar , Ziqi Wang , Yang Xing , Mani Srivastava

Large Language Models (LLMs) have made significant strides in front-end code generation. However, existing benchmarks exhibit several critical limitations: many tasks are overly simplistic, test cases often lack rigor, and end-to-end…

Software Engineering · Computer Science 2025-06-19 Hongda Zhu , Yiwen Zhang , Bing Zhao , Jingzhe Ding , Siyao Liu , Tong Liu , Dandan Wang , Yanan Liu , Zhaojian Li

Large Language Models (LLMs) have demonstrated significant potential in various engineering tasks, including software development, digital logic generation, and companion document maintenance. However, their ability to perform board-level…

Hardware Architecture · Computer Science 2026-03-20 Weibo Qiu , Yinhao Xiao , Runyu Pan

The development of architecture specifications is an initial and fundamental stage of the integrated circuit (IC) design process. Traditionally, architecture specifications are crafted by experienced chip architects, a process that is not…

Hardware Architecture · Computer Science 2024-01-25 Mengming Li , Wenji Fang , Qijun Zhang , Zhiyao Xie

We present INTEGRALBENCH, a focused benchmark designed to evaluate Large Language Model (LLM) performance on definite integral problems. INTEGRALBENCH provides both symbolic and numerical ground truth solutions with manual difficulty…

Artificial Intelligence · Computer Science 2025-07-30 Bintao Tang , Xin Yang , Yuhao Wang , Zixuan Qiu , Zimo Ji , Wenyuan Jiang

Multimodal Large Language Models (MLLMs) have demonstrated remarkable capabilities in automated front-end engineering, e.g., generating UI code from visual designs. However, existing front-end UI code generation benchmarks have the…

Software Engineering · Computer Science 2026-03-17 Jingyu Xiao , Ming Wang , Man Ho Lam , Yuxuan Wan , Junliang Liu , Yintong Huo , Michael R. Lyu

The escalating complexity of modern digital systems has imposed significant challenges on integrated circuit (IC) design, necessitating tools that can simplify the IC design flow. The advent of Large Language Models (LLMs) has been seen as…

Hardware Architecture · Computer Science 2024-05-07 Maoyang Xiang , Emil Goh , T. Hui Teo

Printed Circuit Board (PCB) schematic design plays an essential role in all areas of electronic industries. Unlike prior works that focus on digital or analog circuits alone, PCB design must handle heterogeneous digital, analog, and power…

Artificial Intelligence · Computer Science 2026-02-03 Huanghaohe Zou , Peng Han , Emad Nazerian , Alex Q. Huang

Benchmarks for large language models (LLMs) have progressed from snippet-level function generation to repository-level issue resolution, yet they overwhelmingly target implementation correctness. Software architecture tasks remain…

Software Engineering · Computer Science 2026-03-19 Bassam Adnan , Aviral Gupta , Sreemaee Akshathala , Karthik Vaidhyanathan
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