update README.md

README.md

@@ -70,9 +70,9 @@ tags:
 - **Repository**: https://github.com/CONE-MT/BenchMAX
 
 ## Dataset Description
-BenchMAX_Model-based is a dataset of BenchMAX, sourcing from [m-ArenaHard](https://huggingface.co/datasets/CohereForAI/m-ArenaHard), which evaluates the instruction following capability via model-based judgment.
+BenchMAX_Model-based is a dataset of [BenchMAX](https://arxiv.org/pdf/2502.07346), sourcing from [m-ArenaHard](https://huggingface.co/datasets/CohereForAI/m-ArenaHard), which evaluates the instruction following capability via model-based judgment.
 
-We extend the original dataset to languages that not supported by translating.
+We extend the original dataset to include languages that are not supported by m-ArenaHard through Google Translate.
 Then manual post-editing is applied for all non-English languages.
 
 ## Usage
@@ -87,7 +87,8 @@ bash prepare.sh
 ```
 
 Then modify the model configs in `arena-hard-auto/config`.
-Please add your model config to `api_config.yaml` and add your model name to the model list in other config like `gen_answer_config_*.yaml` and `judge_config_*.yaml`.
+Please add your model config to `api_config.yaml` and add your model name to the model list in other configs like `gen_answer_config_*.yaml`.
+If you want to change the judge model, you can modify `judge_config_*.yaml`.
 
 Finally, deploy your model and run the evaluation, where your model first generates responses to prompts and DeepSeek-V3 judge them against GPT-4o responses, as we do in the paper.