TRITONBENCH: Benchmarking Large Language Model Capabilities for Generating Triton Operator (#132)

Author: DefTruth

README.md

@@ -500,6 +500,7 @@ python3 download_pdfs.py # The code is generated by Doubao AI
 |2024.07|🔥🔥[**Tensor Product**] Acceleration of Tensor-Product Operations with Tensor Cores(@Heidelberg University)|[[pdf]](https://arxiv.org/pdf/2407.09621)|⚠️|⭐️ |
 |2024.12| 🔥🔥[**HADACORE**] HADACORE: TENSOR CORE ACCELERATED HADAMARD TRANSFORM KERNEL(@Meta)|[[pdf]](https://arxiv.org/pdf/2407.09621)|[[hadamard_transform]](https://github.com/pytorch-labs/applied-ai/tree/main/kernels/cuda/inference/hadamard_transform) ![](https://img.shields.io/github/stars/pytorch-labs/applied-ai.svg?style=social)|⭐️ |  
 |2024.10| 🔥🔥[**FLASH-ATTENTION RNG**] Reducing the Cost of Dropout in Flash-Attention by Hiding RNG with GEMM(@Princeton University)|[[pdf]](https://arxiv.org/pdf/2410.07531)|⚠️|⭐️ |
+|2025.02| 🔥🔥[**TRITONBENCH**] TRITONBENCH: Benchmarking Large Language Model Capabilities for Generating Triton Operators(@thunlp) | [[pdf]](https://arxiv.org/pdf/2502.14752) | [[TritonBench]](https://github.com/thunlp/TritonBench) ![](https://img.shields.io/github/stars/thunlp/TritonBench.svg?style=social)|⭐️⭐️ |
 
 ### 📖VLM/Position Embed/Others ([©️back👆🏻](#paperlist))  
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