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@@ -112,7 +112,7 @@ A sample of the data used to train our model can be found [here](https://github.
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  ## Evaluation
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- The right hand side shows the results of the manual evaluation, done on the outputs from each model for 35 texts. M.P. stands for meaning preservation, S for simplification, C for coherence, F for factuality; the score represents the percentage of `yes' answers.
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  More details on the evaluation can be found in the paper. For all metrics, higher is better.
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  | **Model** | **Prompt** | **Test set** | **SARI** | **FRE** | **M.P.** | **S** | **C** | **F** | **Avg.** |
@@ -126,7 +126,7 @@ More details on the evaluation can be found in the paper. For all metrics, highe
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  #### Summary
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- ## Citation [optional]
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  **BibTeX:**
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  ## Evaluation
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+ The right hand side shows the results of the manual evaluation, done on the outputs from each model for 35 texts. M.P. stands for meaning preservation, S for simplification, C for coherence, F for factuality; the score represents the percentage of *yes* answers.
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  More details on the evaluation can be found in the paper. For all metrics, higher is better.
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  | **Model** | **Prompt** | **Test set** | **SARI** | **FRE** | **M.P.** | **S** | **C** | **F** | **Avg.** |
 
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  #### Summary
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+ ## Citation
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  **BibTeX:**
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