Update README.md

README.md

@@ -7,7 +7,7 @@ base_model:
 # CompassJudger-1
 
 <p align="center">
-        🤗 <a href="https://huggingface.co/opencompass">Hugging Face</a>&nbsp&nbsp | &nbsp&nbsp🤖 <a href="https://modelscope.cn/organization/opencompass">ModelScope</a>&nbsp&nbsp | &nbsp&nbsp 📑 <a href="">Paper</a> &nbsp&nbsp 
+        🤗 <a href="https://huggingface.co/opencompass">Hugging Face</a>&nbsp&nbsp | &nbsp&nbsp🤖 <a href="https://modelscope.cn/organization/opencompass">ModelScope</a>&nbsp&nbsp | &nbsp&nbsp 📑 <a href="https://arxiv.org/pdf/2410.16256">Paper</a> &nbsp&nbsp | &nbsp&nbsp 🎖️ <a href="https://huggingface.co/spaces/opencompass/judgerbench_leaderboard">Leaderboard</a> &nbsp&nbsp 
 <br>
 
 </p>
@@ -28,7 +28,7 @@ Here provides a code to show you how to load the tokenizer and model and how to
 ```python
 from transformers import AutoModelForCausalLM, AutoTokenizer
 
-model_name = "opencompass/CompassJudger-1"
+model_name = "opencompass/CompassJudger-1-7B-Instruct"
 
 model = AutoModelForCausalLM.from_pretrained(
     model_name,
@@ -64,7 +64,7 @@ print(response)
 
 
 We also provide some examples for different usage situations:
-### Gneral Chat
+### General Chat
 
 ```
 **Input**: Hello, can you help me to judge something?
@@ -174,7 +174,9 @@ cd opencompass
 pip install -e .
 python run.py configs/eval_judgerbench.py --mode all --reuse latest
 ```
+We also provided a leaderboard for JudgerBench: https://huggingface.co/spaces/opencompass/judgerbench_leaderboard
 
+If you want to add your model to this leaderboard, welcome to add an issue in this Repository.
 
 ## Use CompassJudger-1 to Test Subjective Datasets in OpenCompass
 
@@ -225,8 +227,8 @@ infer = dict(
 judge_models = [dict(
     dict(
         type=TurboMindModelwithChatTemplate,
-        abbr='CompassJudger-1-7B,
-        path='Opencompass/CompassJudger-1-7B',
+        abbr='CompassJudger-1-7B-Instruct',
+        path='opencompass/CompassJudger-1-7B-Instruct',
         engine_config=dict(session_len=16384, max_batch_size=16, tp=1),
         gen_config=dict(top_k=1, temperature=1e-6, top_p=0.9, max_new_tokens=2048),
         max_seq_len=16384,
@@ -254,13 +256,17 @@ For more detailed subjective evaluation guidelines, please refer to: https://git
 
 To facilitate better comparisons within the community, we have tested the subjective performance of some models using CompassJudger-1. 
 
+See in: [https://huggingface.co/spaces/opencompass/judgerbench_leaderboard](https://huggingface.co/spaces/opencompass/compassjudger_subj_eval_leaderboard)
+
+If you want to add your model to this leaderboard, welcome to add an issue in this Repository.
+
 ## Citation
 
 ```bib 
 @article{cao2024compass,
   title={CompassJudger-1: All-in-one Judge Model Helps Model Evaluation and Evolution},
   author={Maosong Cao, Alexander Lam, Haodong Duan, Hongwei Liu, Songyang Zhang, Kai Chen},
-  journal={arXiv preprint arXiv:2410.xxxxxx},
+  journal={arXiv preprint arXiv:2410.16256},
   year={2024}
 }
 ```
@@ -270,4 +276,4 @@ To facilitate better comparisons within the community, we have tested the subjec
 - https://github.com/open-compass/opencompass
 - https://github.com/InternLM/InternLM
 - https://github.com/QwenLM/Qwen2.5
-- https://github.com/InternLM/xtuner
+- https://github.com/InternLM/xtuner