most citedAssertFix: Empowering Automated Assertion Fix via Large Language Models

1 citations · 1 across the 10 of their papers we have counts for

collaborators

11 papers

cs.AR2026

Rtl2lean: Automated RTL-to-Lean Translation with Hierarchical Theorem Generation and Lemma Reuse

Hongqin Lyu, Junxing Dong, Yonghao Wang +3

Formal verification with interactive theorem provers can provide strong correctness guarantees for register transfer level designs, but applying it to existing SystemVerilog code r…

cs.AI2026

Arcane: An Assertion Reduction Framework through Semantic Clustering and MCTS-Guided Rule Exploring

Hongqin Lyu, Yonghao Wang, Zhiteng Chao +2

Assertion-based Verification (ABV) is essential for ensuring that hardware designs conform to their intended specifications. However, existing automated assertion-generation approa…

cs.AR2026

CoverAssert: Iterative LLM Assertion Generation Driven by Functional Coverage via Syntax-Semantic Representations

Yonghao Wang, Yang Yin, Hongqin Lyu +8

LLMs can generate SystemVerilog assertions (SVAs) from natural language specs, but single-pass outputs often lack functional coverage due to limited IC design understanding. We pro…

cs.AR2026

From Indiscriminate to Targeted: Functionally Critical Signal-Driven Assertion Generation using LLMs for Efficient RTL Verification

Yonghao Wang, Hongqin Lyu, Boling Chen +9

Functional verification has become the most time-consuming phase in IC development, and Assertion-Based Verification (ABV) is key to reducing debugging time. However, existing LLM-…

cs.AR2026

RTLSeek: Boosting the LLM-Based RTL Generation with Multi-Stage Diversity-Oriented Reinforcement Learning

Xinyu Zhang, Zhiteng Chao, Yonghao Wang +6

Register Transfer Level (RTL) design translates high-level specifications into hardware using HDLs such as Verilog. Although LLM-based RTL generation is promising, the scarcity of…

cs.AR2026

Iterative LLM-Based Assertion Generation Using Syntax-Semantic Representations for Functional Coverage-Guided Verification

Yonghao Wang, Jiaxin Zhou, Yang Yin +6

While leveraging LLMs to automatically generate SystemVerilog assertions (SVAs) from natural language specifications holds great potential, existing techniques face a key challenge…

cs.AR2025

Think with Self-Decoupling and Self-Verification: Automated RTL Design with Backtrack-ToT

Zhiteng Chao, Yonghao Wang, Xinyu Zhang +9

Large language models (LLMs) hold promise for automating integrated circuit (IC) engineering using register transfer level (RTL) hardware description languages (HDLs) like Verilog.…

cs.AR2025

AssertMiner: Module-Level Spec Generation and Assertion Mining using Static Analysis Guided LLMs

Hongqin Lyu, Yonghao Wang, Jiaxin Zhou +3

Assertion-based verification (ABV) is a key approach to checking whether a logic design complies with its architectural specifications. Existing assertion generation methods based…

cs.AR2025★ 1 cited

AssertFix: Empowering Automated Assertion Fix via Large Language Models

Hongqin Lyu, Yunlin Du, Yonghao Wang +3

Assertion-based verification (ABV) is critical in ensuring that register-transfer level (RTL) designs conform to their functional specifications. SystemVerilog Assertions (SVA) eff…

cs.AR2025

AssertGen: Enhancement of LLM-aided Assertion Generation through Cross-Layer Signal Bridging

Hongqin Lyu, Yonghao Wang, Yunlin Du +5

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…

cs.AR2025

DeepAssert: An LLM-Aided Verification Framework with Fine-Grained Assertion Generation for Modules with Extracted Module Specifications

Yonghao Wang, Jiaxin Zhou, Hongqin Lyu +3

Assertion-Based Verification (ABV) is a crucial method for ensuring that logic designs conform to their architectural specifications. However, existing assertion generation methods…