most citedRealBench: Benchmarking Verilog Generation Models with Real-World IP Designs

1 citations · 2 across the 6 of their papers we have counts for

collaborators

8 papers

cs.LG2026

QiMeng-ChipV-RTL: Exploiting Information Locality for IP-level Verilog Generation

Hanqi Lyu, Di Huang, Yaoyu Zhu +10

The generation of Register-Transfer Level (RTL) code is a crucial yet labor-intensive step in digital hardware design, traditionally requiring engineers to manually translate compl…

cs.AI2025

QiMeng-NeuComBack: Self-Evolving Translation from IR to Assembly Code

Hainan Fang, Yuanbo Wen, Jun Bi +8

Compilers, while essential, are notoriously complex systems that demand prohibitively expensive human expertise to develop and maintain. The recent advancements in Large Language M…

cs.LG2025

QiMeng-SALV: Signal-Aware Learning for Verilog Code Generation

Yang Zhang, Rui Zhang, Jiaming Guo +10

The remarkable progress of Large Language Models (LLMs) presents promising opportunities for Verilog code generation which is significantly important for automated circuit design.…

cs.LG2025★ 1 cited

RealBench: Benchmarking Verilog Generation Models with Real-World IP Designs

Pengwei Jin, Di Huang, Chongxiao Li +10

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

cs.AR2025

QiMeng: Fully Automated Hardware and Software Design for Processor Chip

Rui Zhang, Yuanbo Wen, Shuyao Cheng +17

Processor chip design technology serves as a key frontier driving breakthroughs in computer science and related fields. With the rapid advancement of information technology, conven…

cs.LG2025★ 1 cited

QiMeng-CodeV-R1: Reasoning-Enhanced Verilog Generation

Yaoyu Zhu, Di Huang, Hanqi Lyu +16

Large language models (LLMs) trained via reinforcement learning with verifiable reward (RLVR) have achieved breakthroughs on tasks with explicit, automatable verification, such as…

cs.SE2025

MigGPT: Harnessing Large Language Models for Automated Migration of Out-of-Tree Linux Kernel Patches Across Versions

Pucheng Dang, Di Huang, Dong Li +4

Out-of-tree kernel patches are essential for adapting the Linux kernel to new hardware or enabling specific functionalities. Maintaining and updating these patches across different…

cs.AR2025

AGON: Automated Design Framework for Customizing Processors from ISA Documents

Chongxiao Li, Di Huang, Pengwei Jin +12

Customized processors are attractive solutions for vast domain-specific applications due to their high energy efficiency. However, designing a processor in traditional flows is tim…