Update README.md

README.md

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 **FILM-7B** is a 32K-context LLM that overcomes the lost-in-the-middle problem.
 It is trained from Mistral-7B-Instruct-v0.2 by applying Information-Intensie (In2) Training.
-FILM-7B achieves SOTA-level performance on real-world long-context tasks among ~7B size LLMs and does not compromise the short-context performance.
+FILM-7B achieves near-perfect performance on probing tasks, SOTA-level performance on real-world long-context tasks among ~7B size LLMs, and does not compromise the short-context performance.
 
 ## Model Usage
 
@@ -31,6 +31,8 @@ The system tempelate for FILM-7B:
 
 ## Probing Results
 
+To reproduce the results on our VaL Probing, see the guidance in [https://github.com/microsoft/FILM/tree/main/VaLProbing](https://github.com/microsoft/FILM/tree/main/VaLProbing).
+
 <p align="center">
     <img src="./figures/probing_results.png" width="800">
     <br>