Update paper link readme (#2563)

Add TorchAO paper link to README

Author: andrewor14

README.md

@@ -11,7 +11,7 @@
 
 <div align="center">
 
-[![](https://img.shields.io/badge/CodeML_%40_ICML-2025-blue)](https://codeml-workshop.github.io/codeml2025/)
+[![](https://img.shields.io/badge/CodeML_%40_ICML-2025-blue)](https://openreview.net/attachment?id=HpqH0JakHf&name=pdf)
 [![](https://dcbadge.vercel.app/api/server/gpumode?style=flat&label=TorchAO%20in%20GPU%20Mode)](https://discord.com/channels/1189498204333543425/1205223658021458100)
 [![](https://img.shields.io/github/contributors-anon/pytorch/ao?color=yellow&style=flat-square)](https://github.com/pytorch/ao/graphs/contributors)
 [![](https://img.shields.io/badge/torchao-documentation-blue?color=DE3412)](https://docs.pytorch.org/ao/stable/index.html)
@@ -24,7 +24,7 @@
 
 ## 📣 Latest News
 
-- [Jun 25] Our [TorchAO paper](https://codeml-workshop.github.io/codeml2025/) was accepted to CodeML @ ICML 2025!
+- [Jun 25] Our [TorchAO paper](https://openreview.net/attachment?id=HpqH0JakHf&name=pdf) was accepted to CodeML @ ICML 2025!
 - [May 25] QAT is now integrated into [Axolotl](https://github.com/axolotl-ai-cloud/axolotl) for fine-tuning ([docs](https://docs.axolotl.ai/docs/qat.html))!
 - [Apr 25] Float8 rowwise training yielded [1.34-1.43x training speedup](https://pytorch.org/blog/accelerating-large-scale-training-and-convergence-with-pytorch-float8-rowwise-on-crusoe-2k-h200s/) at 2k H100 GPU scale
 - [Apr 25] TorchAO is added as a [quantization backend to vLLM](https://docs.vllm.ai/en/latest/features/quantization/torchao.html) ([docs](https://docs.vllm.ai/en/latest/features/quantization/torchao.html))!