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Update README.md (#811)
Updated the paper url to https://openreview.net/forum?id=36SjAIT42G, and added contact names for external collaboration. ## Summary <!--- This is a required section; please describe the main purpose of this proposed code change. ---> <!--- ## Details This is an optional section; is there anything specific that reviewers should be aware of? ---> ## Testing Done <!--- This is a required section; please describe how this change was tested. ---> <!-- Replace BLANK with your device type. For example, A100-80G-PCIe Complete the following tasks before sending your PR, and replace `[ ]` with `[x]` to indicate you have done them. --> - Hardware Type: <BLANK> - [x] run `make test` to ensure correctness - [x] run `make checkstyle` to ensure code style - [x] run `make test-convergence` to ensure convergence
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@@ -362,7 +362,7 @@ loss.backward()
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- For issues, create a Github ticket in this repository
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- For open discussion, join [our discord channel on GPUMode](https://discord.com/channels/1189498204333543425/1275130785933951039)
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- For formal collaboration, send an email to yannchen@linkedin.com and zhipwang@linkedin.com
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- For formal collaboration, send an email to Yanning Chen(yannchen@linkedin.com) and Zhipeng Wang(zhipwang@linkedin.com)
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## Cite this work
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@@ -371,11 +371,11 @@ Biblatex entry:
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@article{hsu2024ligerkernelefficienttriton,
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title={Liger Kernel: Efficient Triton Kernels for LLM Training},
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author={Pin-Lun Hsu and Yun Dai and Vignesh Kothapalli and Qingquan Song and Shao Tang and Siyu Zhu and Steven Shimizu and Shivam Sahni and Haowen Ning and Yanning Chen and Zhipeng Wang},
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year={2024},
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year={2025},
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eprint={2410.10989},
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archivePrefix={arXiv},
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primaryClass={cs.LG},
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url={https://arxiv.org/abs/2410.10989},
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url={https://openreview.net/forum?id=36SjAIT42G},
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journal={Proceedings of the ICML 2025 Workshop on Championing Opensource Development in Machine Learning (CODEML ’25)},
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}
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```
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