Update README.md

README.md

@@ -393,6 +393,9 @@ tags:
 - llm
 ---
 
+🎉 **This work, introducing the AutoMathText dataset and the AutoDS method, has been accepted to The 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025 Findings)!** 🎉
+
+
 # AutoMathText
 
 **AutoMathText** is an extensive and carefully curated dataset encompassing around **200 GB** of mathematical texts. It's a compilation sourced from a diverse range of platforms including various websites, arXiv, and GitHub (OpenWebMath, RedPajama, Algebraic Stack). This rich repository has been **autonomously selected (labeled) by the state-of-the-art open-source language model**, Qwen-72B. Each piece of content in the dataset is assigned **a score `lm_q1q2_score` within the range of [0, 1]**, reflecting its relevance, quality and educational value in the context of mathematical intelligence.
@@ -493,10 +496,10 @@ ds = load_dataset("math-ai/AutoMathText", "web-0.50-to-1.00") # or any valid con
 We appreciate your use of **AutoMathText** in your work. If you find this repository helpful, please consider citing it and star this repo. Feel free to contact [email protected] or open an issue if you have any questions (GitHub homepage: https://github.com/yifanzhang-pro/AutoMathText).
 
 ```bibtex
-@article{zhang2024automathtext,
-      title={Autonomous Data Selection with Language Models for Mathematical Texts},
+@article{zhang2025autonomous,
+      title={Autonomous Data Selection with Zero-shot Generative Classifiers for Mathematical Texts},
       author={Zhang, Yifan and Luo, Yifan and Yuan, Yang and Yao, Andrew Chi-Chih},
-      journal={arXiv preprint arXiv:2402.07625},
-      year={2024},
+      journal={The 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025 Findings)},
+      year={2025}
 }
 ```