Update README.md

README.md

@@ -17,8 +17,6 @@ A prototype project exploring the use of fine-tuned large language models to aut
 
 
 ## 🎉 News
-- ⚡️ [2025/01/01] (update #2): We release EPlus-LLMv2, successfully addressing the challenge of auto-building energy modeling (ABEM) in complex scenarios. The new version of the platform supports a wide range of modeling scenarios encountered in real-world building applications, significantly enhancing its breadth and flexibility. Based on comprehensive datasets and a large-scale LLM, we integrate techniques such as LoRA, mixed precision training, and model quantification to reduce computational burden and achieve efficient fine-tuning (without compensating performance).
-[Paper coming soon](https://doi.org/10.1016/j.apenergy.2024.123431).
 - 🔥 [2024/05/016] (update #1): We first successfully implement natural language-based auto-building modeling by fine-tuning a large language model (LLM). 
 [Paper here](https://doi.org/10.1016/j.apenergy.2024.123431).