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@@ -25,7 +25,7 @@ the Italian Language released by Sarti.
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  Then the adopted model is fine-tuned over two classification task prompts using two well-known EVALITA tasks: AMI2020 (misogyny detection)
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  and HASPEEDE-v2-2020 (hate-speech detection).
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- First of all, we transformed the training data of the two tasks into an LLM prompt following a template. For the AMI task, we used the following template:
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  *instruction: Nel testo seguente si esprime odio contro le donne? Rispondi sì o no., input: \<text\>, output: \<sì/no\>.*
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  Then the adopted model is fine-tuned over two classification task prompts using two well-known EVALITA tasks: AMI2020 (misogyny detection)
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  and HASPEEDE-v2-2020 (hate-speech detection).
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+ We transformed the training data of the two tasks into an LLM prompt following a template. For the AMI task, we used the following template:
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  *instruction: Nel testo seguente si esprime odio contro le donne? Rispondi sì o no., input: \<text\>, output: \<sì/no\>.*
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