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Assertions have been the de facto collateral for simulation-based and formal verification of hardware designs for over a decade. The quality of hardware verification, i.e., detection and diagnosis of corner-case design bugs, is critically…

Machine Learning · Computer Science 2025-03-03 Vaishnavi Pulavarthi , Deeksha Nandal , Soham Dan , Debjit Pal

Assertion-based verification (ABV) is a cornerstone of modern hardware design, yet manually translating design intent into formal SystemVerilog Assertions (SVAs) remains labor-intensive and error-prone. While Large Language Models (LLMs)…

Hardware Architecture · Computer Science 2026-05-28 Yuchao Wu , Wenji Fang , Jing Wang , Wenkai Li , Ziyan Guo , Zhiyao Xie

The security of computer systems typically relies on a hardware root of trust. As vulnerabilities in hardware can have severe implications on a system, there is a need for techniques to support security verification activities.…

Cryptography and Security · Computer Science 2024-07-11 Rahul Kande , Hammond Pearce , Benjamin Tan , Brendan Dolan-Gavitt , Shailja Thakur , Ramesh Karri , Jeyavijayan Rajendran

Recent benchmarks have probed factual consistency and rhetorical robustness in Large Language Models (LLMs). However, a knowledge gap exists regarding how directional framing of factually true statements influences model agreement, a common…

Computation and Language · Computer Science 2025-06-16 Jaeho Lee , Atharv Chowdhary

Assertion-based verification (ABV) is a critical method to ensure logic designs comply with their architectural specifications. ABV requires assertions, which are generally converted from specifications through human interpretation by…

Hardware Architecture · Computer Science 2024-11-25 Zhiyuan Yan , Wenji Fang , Mengming Li , Min Li , Shang Liu , Zhiyao Xie , Hongce Zhang

Assertion-based verification (ABV) is a critical method for ensuring design circuits comply with their architectural specifications, which are typically described in natural language. This process often requires human interpretation by…

Hardware Architecture · Computer Science 2026-02-26 Wenji Fang , Mengming Li , Min Li , Zhiyuan Yan , Shang Liu , Hongce Zhang , Zhiyao Xie

Production assertions are statements embedded in the code to help developers validate their assumptions about the code. They assist developers in debugging, provide valuable documentation, and enhance code comprehension. Current research in…

Software Engineering · Computer Science 2024-11-27 Mohammad Jalili Torkamani , Abhinav Sharma , Nikita Mehrotra , Rahul Purandare

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

Assertion-based verification (ABV) is critical in ensuring that register-transfer level (RTL) designs conform to their functional specifications. SystemVerilog Assertions (SVA) effectively specify design properties, but writing and…

Hardware Architecture · Computer Science 2025-09-30 Hongqin Lyu , Yunlin Du , Yonghao Wang , Zhiteng Chao , Tiancheng Wang , Huawei Li

Assertion-Based Verification (ABV) is a crucial method for ensuring that logic designs conform to their architectural specifications. However, existing assertion generation methods primarily rely on information either from the design…

Hardware Architecture · Computer Science 2025-09-19 Yonghao Wang , Jiaxin Zhou , Hongqin Lyu , Zhiteng Chao , Tiancheng Wang , Huawei Li

Large language models (LLMs) are being increasingly integrated into practical hardware and firmware development pipelines for code generation. Existing studies have primarily focused on evaluating the functional correctness of LLM-generated…

Cryptography and Security · Computer Science 2026-01-21 Qirui Chen , Jingxian Shuai , Shuangwu Chen , Shenghao Ye , Zijian Wen , Xufei Su , Jie Jin , Jiangming Li , Jun Chen , Xiaobin Tan , Jian Yang

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

Assertion-based verification (ABV) serves as a crucial technique for ensuring that register-transfer level (RTL) designs adhere to their specifications. While Large Language Model (LLM) aided assertion generation approaches have recently…

Hardware Architecture · Computer Science 2025-09-30 Hongqin Lyu , Yonghao Wang , Yunlin Du , Mingyu Shi , Zhiteng Chao , Wenxing Li , Tiancheng Wang , Huawei Li

Automating hardware design could obviate a significant amount of human error from the engineering process and lead to fewer errors. Verilog is a popular hardware description language to model and design digital systems, thus generating…

Programming Languages · Computer Science 2022-12-22 Shailja Thakur , Baleegh Ahmad , Zhenxing Fan , Hammond Pearce , Benjamin Tan , Ramesh Karri , Brendan Dolan-Gavitt , Siddharth Garg

Large Language Models (LLMs) have propelled groundbreaking advancements across several domains and are commonly used for text generation applications. However, the computational demands of these complex models pose significant challenges,…

As the complexity of software systems continues to increase, the demand for automated testing and maintenance tools is growing exponentially. To meet this urgent need, we propose a new assertion generation method based on Hardware…

Software Engineering · Computer Science 2025-08-12 Yi Zhong , Hongchao Liu , Di ZHao

The increasing popularity of large language models (LLMs) has paved the way for their application in diverse domains. This paper proposes a benchmarking framework tailored specifically for evaluating LLM performance in the context of…

Machine Learning · Computer Science 2023-12-12 Mingjie Liu , Nathaniel Pinckney , Brucek Khailany , Haoxing Ren

Despite the transformative potential of Large Language Models (LLMs) in hardware design, a comprehensive evaluation of their capabilities in design verification remains underexplored. Current efforts predominantly focus on RTL generation…

Functional simulation is an essential step in digital hardware design. Recently, there has been a growing interest in leveraging Large Language Models (LLMs) for hardware testbench generation tasks. However, the inherent instability…

Software Engineering · Computer Science 2024-11-14 Ruidi Qiu , Grace Li Zhang , Rolf Drechsler , Ulf Schlichtmann , Bing Li

Large Language Models (LLMs) hold significant potential for advancing fact-checking by leveraging their capabilities in reasoning, evidence retrieval, and explanation generation. However, existing benchmarks fail to comprehensively evaluate…

Computation and Language · Computer Science 2025-06-17 Shuo Yang , Yuqin Dai , Guoqing Wang , Xinran Zheng , Jinfeng Xu , Jinze Li , Zhenzhe Ying , Weiqiang Wang , Edith C. H. Ngai
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