ln2697
/

tfv6

@@ -12,7 +12,7 @@ tags:
 [**Project Page**](https://ln2697.github.io/lead) | [**Paper**](https://huggingface.co/papers/2512.20563) | [**Code**](https://github.com/autonomousvision/lead)
-Official model weights for **TransFuser v6 (TFv6)**, a state-of-the-art driving policy on Bench2Drive.
 > We release the complete pipeline (covering scenario descriptions, expert driver, data preprocessing scripts, training code, and evaluation infrastructure) required to achieve **state-of-the-art closed-loop performance on the Bench2Drive** benchmark. Built around the CARLA simulator, the stack features a data-centric design with:
 >

 [**Project Page**](https://ln2697.github.io/lead) | [**Paper**](https://huggingface.co/papers/2512.20563) | [**Code**](https://github.com/autonomousvision/lead)
+Official model weights for **TransFuser v6 (TFv6)**, a set of CARLA driving policy checkpoints accompanies our paper LEAD: Minimizing Learner–Expert Asymmetry in End-to-End Driving..
 > We release the complete pipeline (covering scenario descriptions, expert driver, data preprocessing scripts, training code, and evaluation infrastructure) required to achieve **state-of-the-art closed-loop performance on the Bench2Drive** benchmark. Built around the CARLA simulator, the stack features a data-centric design with:
 >