Update README.md

Docs/OurProgress/README.md

@@ -4028,8 +4028,8 @@ In the following table we report the Kendall rank correlation coefficient for pr
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-- Kendall rank correlation coefficient indicates poor correlation between proxy cost and postPlaceOpt metrics. Similarly, we see a poor correlation between proxy cost and postRouteOpt metrics.
-  - We see the proxy costs for RUN3 and RUN7 are 0.8861 and 0.8675 respectively, which is much higher than the best proxy cost 0.8285 (corresponding to RUN15), but the total power and TNS for RUN3 and RUN7 is better than RUN15.
+- Kendall rank correlation coefficients indicate poor correlation between proxy cost and postPlaceOpt metrics. Similarly, we see a poor correlation between proxy cost and postRouteOpt metrics.
+  - We see the proxy costs of RUN3 and RUN7 are 0.8861 and 0.8675 respectively, which is much higher than the best proxy cost of 0.8285 (corresponding to RUN15), but the total power and TNS for RUN3 and RUN7 are better than RUN15.
 
 
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@@ -4222,4 +4222,4 @@ We have trained CT to generate a macro placement for the [MemPool Group design](
 **<span style="color:blue">[Question 7](#Question7).</span>** What happens if we skip CT and continue directly to standard-cell P&R (i.e., the Innovus 21.1 flow) once we have a macro placement from the commercial tool?  
 **<span style="color:blue">[Question 8](#Question8).</span>** How does the tightness of timing constraints affect the (relative) performance of CT?   
 **<span style="color:blue">[Question 9](#Question9).</span>** Are CT results stable? If not, how much does the outcome vary?  
-**<span style="color:blue">[Question 10](#Question10).</span>** What is the correlation between proxy cost and the postRouteOpt Table 1 metrics?  
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+**<span style="color:blue">[Question 10](#Question10).</span>** What is the correlation between proxy cost and the postRouteOpt Table 1 metrics?