Update README.md

README.md

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 - Qwen/Qwen2.5-Coder-32B
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-# ExCoT
+# Arctic Text2SQL: ExCoT
 
 Snowflake’s AI research team introduces ExCoT, the first model in the Arctic Text2SQL family. ExCoT is a novel framework that combines CoT prompting with SQL execution-based DPO, using execution results — not human preferences — as the feedback signal. This enables scalable, high-quality model optimization without requiring expensive human annotations.
 
@@ -12,7 +12,7 @@ Based on our internal testing, ExCoT delivered state-of-the-art results on the [
 
 * [Llama-3.1-Arctic-ExCoT-70B](https://huggingface.co/Snowflake/Llama-3.1-Arctic-ExCoT-70B) improved execution accuracy on the BIRD-dev set from the base model’s 57.37% to 68.51%. [Qwen-2.5-coder-Arctic-ExCoT-32B](https://huggingface.co/Snowflake/Qwen-2.5-coder-Arctic-ExCoT-32B) achieved similarly strong gains.
 
-* Both models significantly outperformed larger open-weight models, such as Mistral 123B, and even proprietary systems including GPT-4o and Claude 3.5 — achieving over 12 percentage points of improvement.
+* Both models significantly outperformed other well-known frontier general-purpose models, achieving over 10 percentage points of improvement.
 
 For more details about ExCoT and how to use it: