card: point GitHub links to EvolvingLMMs-Lab/ParaVT (main branch)

README.md

@@ -24,7 +24,7 @@ tags:
 <div align="center">
 
 [![Paper](https://img.shields.io/badge/Paper-000000?style=for-the-badge&logo=arxiv&logoColor=white)](#citation)
-[![Code](https://img.shields.io/badge/Code-000000?style=for-the-badge&logo=github&logoColor=white)](https://github.com/mwxely/ParaVT)
+[![Code](https://img.shields.io/badge/Code-000000?style=for-the-badge&logo=github&logoColor=white)](https://github.com/EvolvingLMMs-Lab/ParaVT)
 [![Data](https://img.shields.io/badge/Data-0040A1?style=for-the-badge&logo=huggingface&logoColor=ffffff)](https://huggingface.co/datasets/ParaVT/ParaVT-Parquet)
 [![Source](https://img.shields.io/badge/Source-0040A1?style=for-the-badge&logo=huggingface&logoColor=ffffff)](https://huggingface.co/datasets/ParaVT/ParaVT-Source)
 
@@ -52,18 +52,18 @@ This repository hosts the final post-RL checkpoint (`ParaVT-8B`), obtained by ru
 
 ## Usage
 
-`ParaVT-8B` is a drop-in `transformers` / `vllm` model for video-text-to-text. The full evaluation driver, prompt templates, and reproduction scripts live in the [ParaVT GitHub repository](https://github.com/mwxely/ParaVT); please refer to it for the exact environment that produced the reported numbers.
+`ParaVT-8B` is a drop-in `transformers` / `vllm` model for video-text-to-text. The full evaluation driver, prompt templates, and reproduction scripts live in the [ParaVT GitHub repository](https://github.com/EvolvingLMMs-Lab/ParaVT); please refer to it for the exact environment that produced the reported numbers.
 
 ```bash
 # Reproduce the headline numbers (after installing the eval venv)
-git clone https://github.com/mwxely/ParaVT.git && cd ParaVT
+git clone https://github.com/EvolvingLMMs-Lab/ParaVT.git && cd ParaVT
 cp .secrets.env.example .secrets.env && $EDITOR .secrets.env
 bash scripts/setup_env.sh eval
 PARAVT_EVAL_MODEL=ParaVT/ParaVT-8B \
     bash paravt/eval/scripts/reproduce_paravt_8b.sh
 ```
 
-For inference outside the eval driver, treat the model exactly like `Qwen/Qwen3-VL-8B-Instruct`: vLLM `--model ParaVT/ParaVT-8B`, the same tokenizer, the same chat template. The agentic system prompt and the tool schema used during PARA-GRPO are documented in [`paravt/eval/configs/withtool.yaml`](https://github.com/mwxely/ParaVT/blob/paravt-release/paravt/eval/configs/withtool.yaml) and [`paravt/eval/utils.py`](https://github.com/mwxely/ParaVT/blob/paravt-release/paravt/eval/utils.py).
+For inference outside the eval driver, treat the model exactly like `Qwen/Qwen3-VL-8B-Instruct`: vLLM `--model ParaVT/ParaVT-8B`, the same tokenizer, the same chat template. The agentic system prompt and the tool schema used during PARA-GRPO are documented in [`paravt/eval/configs/withtool.yaml`](https://github.com/EvolvingLMMs-Lab/ParaVT/blob/main/paravt/eval/configs/withtool.yaml) and [`paravt/eval/utils.py`](https://github.com/EvolvingLMMs-Lab/ParaVT/blob/main/paravt/eval/utils.py).
 
 ## Citation