update docs

Author: ruipeterpan

EXPERIMENTS.md

@@ -77,7 +77,7 @@ Once all the dependencies has been set up, the directory should have the followi
 
 First, cd into the apparate-ae directory with the source code: `cd apparate-ae`.
 
-To reproduce the CV main results in Fig. 12 and 13, run `python run_cv.py` (takes ~10-20 minutes on a 32-core CPU). To reproduce the NLP main results in Fig. 14, run `python run_nlp.py` (takes ~xxx minutes on a 32-core CPU).
+To reproduce the CV main results in Fig. 12 and 13, run `python run_cv.py` (takes ~10-30 minutes on a 32-core CPU). To reproduce the NLP main results in Fig. 14, run `python run_nlp.py` (takes ~xxx minutes on a 32-core CPU).
 
 Aggregate results can be found in `output_{cv,nlp}.txt`, which are generated by executing the above scripts. The system log, which details how our system performs ramp adjustment and threshold tuning, can be found in `/logs/output_{model_name}_{dataset}.log`.
 

README.md

@@ -1,7 +1,7 @@
 # Apparate: Rethinking Early Exits to Tame Latency-Throughput Tensions in ML Serving
 
 This repository contains the source code implementation of the [SOSP '24](https://sigops.org/s/conferences/sosp/2024/) paper [Apparate: Rethinking Early Exits to Tame Latency-Throughput Tensions in ML Serving](https://arxiv.org/abs/2312.05385). 
-#### Note that the arxiv version is not up to date to our SOSP submission, we will update the arxiv paper after camera ready.
+#### Please note that the arXiv version is not up to date with our SOSP submission. We will update the arXiv paper once the camera-ready version is finalized.
 
 ## Getting Started