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README.md

@@ -20,7 +20,7 @@ conda install -c conda-forge faiss-cpu
 conda install -c conda-forge faiss-gpu
 ```
 
-**It should be noted that** the Pyserini code needs to be modified to support the multiple alpha settings in `pyserini/fusion`. I have already submitted a pull request to the official repository to support this feature. You can refer to this [PR]() to modify the code.
+**It should be noted that** the Pyserini code needs to be modified to support the multiple alpha settings in `pyserini/fusion`. I have already submitted a pull request to the official repository to support this feature. You can refer to this [PR](https://github.com/castorini/pyserini/pull/1854) to modify the code.
 
 ## 2CR
 
@@ -112,7 +112,7 @@ python -m pyserini.eval.trec_eval \
 
 #### Dense+Sparse
 
-**Note**: You should first merge this [PR]() to support the multiple alpha settings in `pyserini/fusion`.
+**Note**: You should first merge this [PR](https://github.com/castorini/pyserini/pull/1854) to support the multiple alpha settings in `pyserini/fusion`.
 
 ```bash
 # Avaliable Language: ar bn en es fa fi fr hi id ja ko ru sw te th zh de yo
@@ -160,3 +160,6 @@ python -m pyserini.eval.trec_eval \
   bge-m3_miracl_2cr/fusion/runs/${lang}.txt
 ```
 
+Note:
+- The hybrid method we used for MIRACL in BGE-M3 paper is: `s_dense + 0.3 * s_sparse`. But when the sparse score is calculated, it has already been multiplied by 100^2, so the alpha for sparse run here is 3e-5, instead of 0.3.
+