Update README.md

README.md

@@ -113,7 +113,7 @@ R2 consistently outperforms V1 at every shared compression ratio. The gains incr
 
 
 
-## Model family
+### Model family
 
 | Models                                                                                       | Activated Params. | Non-Embedding Params. | Embedding Params. | #Layers (encoder + decoder) | Sequence Length | Document Token Dim. | MEP Support | Instruction Aware | Test-Time Compute |
 | -------------------------------------------------------------------------------------------------  | -----------------: | --------------------: | ----------------: | --------------------------: | --------------: | ------------------: | ----------: | ----------------: | ----------------: |
@@ -124,7 +124,7 @@ R2 consistently outperforms V1 at every shared compression ratio. The gains incr
 The reported sizes are **activated parameters**. Nano, Small, and Large are initialized from the T5Gemma2 270M-270M, 1B-1B, and 4B-4B encoder-decoder families, respectively.
 
 
-# Prompt Template
+### Prompt Template
 ```python
  f"<Document>: {document}"
 
@@ -142,10 +142,22 @@ The reported sizes are **activated parameters**. Nano, Small, and Large are init
 
 ![kalm-reranker-v1-r2 template](./assets/template.jpg)
 
-# Acknowledgements
+
+### Evaluation
+#### BEIR
+
+The KaLM-Reranker-V1 series matches or outperforms strong industrial rerankers from the Qwen, BGE, Jina, and Mxbai families.
+![beir](./assets/beir.jpg)
+
+#### MIRACL
+KaLM-Reranker-V1 achieves competitive performance on MIRACL. Within its parameter group, KaLM-Reranker-V1-Large ranks first in 11 of the 18 languages (i.e., ar, bn, de, en, es, fi, fr, ja,
+ko, ru, and sw); six of these languages (i.e., en, es, de, ja, fr, and ru) have reported website usage rates totaling approximately 74.2% among websites with known content languages ([W3Techs, 2026](https://w3techs.com/technologies/overview/content_language)).
+![miracl](./assets/miracl.jpg)
+
+### Acknowledgements
 We sincerely thank `jina-reranker-v3` and `Qwen3-Reranker` for their valuable inspiration and contributions to the reranking community, from which we have learned a lot.
 
-# Citation
+### Citation
 If you find this model useful, please consider citing our papers.
 ```
 @misc{zhao2026kalmrerankerv1,
@@ -179,5 +191,5 @@ If you find this model useful, please consider citing our papers.
 }
 ```
 
-## Contact
+### Contact
 If you encounter any issues, feel free to contact us via the email: <zhaoxinping@stu.hit.edu.cn>