Search Results for author: Zhirong Chen

Found 5 papers, 2 papers with code

Natural language is not enough: Benchmarking multi-modal generative AI for Verilog generation

1 code implementation11 Jul 2024 Kaiyan Chang, Zhirong Chen, Yunhao Zhou, Wenlong Zhu, Kun Wang, Haobo Xu, Cangyuan Li, Mengdi Wang, Shengwen Liang, Huawei Li, Yinhe Han, Ying Wang

Natural language interfaces have exhibited considerable potential in the automation of Verilog generation derived from high-level specifications through the utilization of large language models, garnering significant attention.

Benchmarking

Data is all you need: Finetuning LLMs for Chip Design via an Automated design-data augmentation framework

1 code implementation17 Mar 2024 Kaiyan Chang, Kun Wang, Nan Yang, Ying Wang, Dantong Jin, Wenlong Zhu, Zhirong Chen, Cangyuan Li, Hao Yan, Yunhao Zhou, Zhuoliang Zhao, Yuan Cheng, Yudong Pan, Yiqi Liu, Mengdi Wang, Shengwen Liang, Yinhe Han, Huawei Li, Xiaowei Li

Our 13B model (ChipGPT-FT) has a pass rate improvement compared with GPT-3. 5 in Verilog generation and outperforms in EDA script (i. e., SiliconCompiler) generation with only 200 EDA script data.

Data Augmentation Script Generation

CurveFormer++: 3D Lane Detection by Curve Propagation with Temporal Curve Queries and Attention

no code implementations9 Feb 2024 Yifeng Bai, Zhirong Chen, Pengpeng Liang, Erkang Cheng

A curve cross-attention module is introduced in the Transformer decoder to calculate similarities between image features and curve queries of lanes.

3D Lane Detection Autonomous Driving +1

CurveFormer: 3D Lane Detection by Curve Propagation with Curve Queries and Attention

no code implementations16 Sep 2022 Yifeng Bai, Zhirong Chen, Zhangjie Fu, Lang Peng, Pengpeng Liang, Erkang Cheng

In this paper, we propose CurveFormer, a single-stage Transformer-based method that directly calculates 3D lane parameters and can circumvent the difficult view transformation step.

3D Lane Detection Autonomous Driving +1

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