Update README.md

README.md

@@ -104,12 +104,12 @@ For example, the testing results including accuracy, precision, recall, and f-1
 
 The running results from all case studies, including `Precimonious+FPLearner` and `HiFPTuner+FPLearner` on the four target benchmarks `CG`, `MG`, `Lulesh`, and `LBM` are provided in [`raw/case-study/`](https://github.com/ucd-plse/FPLearner/tree/main/raw/case-study/).
 
-Each folder (e.g., [raw/case-study/HiFPTuner+FPLearner/cg-results/](https://github.com/ucd-plse/FPLearner/tree/main/raw/case-study/HiFPTuner%2BFPLearner/cg-results)) consists of the following files:
+Each folder (e.g., [`raw/case-study/HiFPTuner+FPLearner/cg-results/`](https://github.com/ucd-plse/FPLearner/tree/main/raw/case-study/HiFPTuner%2BFPLearner/cg-results)) consists of the following files:
 -  `*.json`: the precision configuraions for all mixed-precision floating-point programs in the search
--  `dd2-20230301-160059.log`: the log file which contains both the prediction results and the ground truth for each candidate program
+-  `dd2-20230608-210241.log`: the log file which contains both the prediction results and the ground truth for each candidate program
 -  `df-configs.csv`: the csv file which contains both the prediction results and the ground truth for each candidate program
--  `dd2_valid_cg_441.json`: the final precision configuration found in the search
--  `best_speedup_cg_441.txt`: the corresponding best speedup
+-  `dd2_valid_cg_395.json`: the final precision configuration found in the search
+-  `best_speedup_cg_395.txt`: the corresponding best speedup
 
 ## 2 Setup