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2105073
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FIx broken item

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  1. app.py +5 -10
app.py CHANGED
@@ -357,16 +357,11 @@ with gr.Blocks(
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  <div style="max-width: 800px; margin: auto; padding: 20px; border: 1px solid #ccc; border-radius: 10px;">
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  <ul style="font-size: 16px; margin-bottom: 20px; margin-top: 20px;">
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  <li><a href="https://github.com/bigcode-project/bigcode-evaluation-harness" target="_blank">Code Generation LM Evaluation Harness</a></li>
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- <li>RTL-Repo: Allam and M. Shalan, “Rtl-repo: A benchmark for evaluating llms on large-scale rtl design projects,” in 2024 IEEE LLM Aided Design Workshop
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- (LAD). IEEE, 2024, pp. 1–5.</li>
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- <li>VeriGen: S. Thakur, B. Ahmad, H. Pearce, B. Tan, B. Dolan-Gavitt, R. Karri, and S. Garg, “Verigen: A large language model for verilog code generation,”
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- ACM Transactions on Design Automation of Electronic Systems, vol. 29, no. 3, pp. 1–31, 2024. </li>
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- <li>VerilogEval (I): M. Liu, N. Pinckney, B. Khailany, and H. Ren, “Verilogeval: Evaluating</li>
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- large language models for verilog code generation,” in 2023 IEEE/ACM International Conference on Computer Aided Design (ICCAD). IEEE, 2023, pp. 1–8.
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- <li>VerilogEval (II): N. Pinckney, C. Batten, M. Liu, H. Ren, and B. Khailany, “Revisiting VerilogEval: A Year of Improvements in Large-Language Models for
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- Hardware Code Generation,” ACM Trans. Des. Autom. Electron. Syst., feb 2025, just Accepted. [Online]. Available: https://doi.org/10.1145/3718088</li>
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- <li>RTLLM: Y. Lu, S. Liu, Q. Zhang, and Z. Xie, “Rtllm: An open-source benchmark for design rtl generation with large language model,” in 2024 29th Asia and
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- South Pacific Design Automation Conference (ASP-DAC). IEEE, 2024, pp. 722–727.</li>
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  </ul>
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  <p style="font-size: 16px; margin-top: 15px;">
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  Feel free to contact us:
 
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  <div style="max-width: 800px; margin: auto; padding: 20px; border: 1px solid #ccc; border-radius: 10px;">
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  <ul style="font-size: 16px; margin-bottom: 20px; margin-top: 20px;">
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  <li><a href="https://github.com/bigcode-project/bigcode-evaluation-harness" target="_blank">Code Generation LM Evaluation Harness</a></li>
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+ <li>RTL-Repo: Allam and M. Shalan, “Rtl-repo: A benchmark for evaluating llms on large-scale rtl design projects,” in 2024 IEEE LLM Aided Design Workshop (LAD). IEEE, 2024, pp. 1–5.</li>
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+ <li>VeriGen: S. Thakur, B. Ahmad, H. Pearce, B. Tan, B. Dolan-Gavitt, R. Karri, and S. Garg, “Verigen: A large language model for verilog code generation,” ACM Transactions on Design Automation of Electronic Systems, vol. 29, no. 3, pp. 1–31, 2024. </li>
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+ <li>VerilogEval (I): M. Liu, N. Pinckney, B. Khailany, and H. Ren, “Verilogeval: Evaluating large language models for verilog code generation,” in 2023 IEEE/ACM International Conference on Computer Aided Design (ICCAD). IEEE, 2023, pp. 1–8.</li>
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+ <li>VerilogEval (II): N. Pinckney, C. Batten, M. Liu, H. Ren, and B. Khailany, “Revisiting VerilogEval: A Year of Improvements in Large-Language Models for Hardware Code Generation,” ACM Trans. Des. Autom. Electron. Syst., feb 2025. https://doi.org/10.1145/3718088</li>
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+ <li>RTLLM: Y. Lu, S. Liu, Q. Zhang, and Z. Xie, “Rtllm: An open-source benchmark for design rtl generation with large language model,” in 2024 29th Asia and South Pacific Design Automation Conference (ASP-DAC). IEEE, 2024, pp. 722–727.</li>
 
 
 
 
 
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  </ul>
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  <p style="font-size: 16px; margin-top: 15px;">
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  Feel free to contact us: