ForwardAILabs
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MRE-T1

Feature Extraction

information-retrieval

Eval Results (legacy)

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GuangzhiWang commited on Apr 21

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@@ -93,14 +93,14 @@ MRE-T1 achieves state-of-the-art single-model performance on the [BRIGHT benchma
 | Task | MRE-T1 |
 |------|--------|
-| Biology | 74.2 |
-| Earth Science | 72.2 |
-| Economics | 57.3 |
-| Psychology | 71.3 |
-| Robotics | 51.6 |
-| StackOverflow | 51.4 |
-| Sustainable Living | 66.2 |
-| Pony | 33.9 |
 | **Average** | **35.1** |
 ### Comparison with Other Models (Short, Single Model Only)

 | Task | MRE-T1 |
 |------|--------|
+| Biology | 46.5 |
+| Earth Science | 46 |
+| Economics | 34.5 |
+| Psychology | 52.7 |
+| Robotics | 27.7 |
+| StackOverflow | 22.2 |
+| Sustainable Living | 45.2 |
+| Pony | 6.3 |
 | **Average** | **35.1** |
 ### Comparison with Other Models (Short, Single Model Only)