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		<title>Few-shot adaptation improves minority-label Bangla hate speech detection</title>
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		<pubDate>Wed, 21 Oct 2026 23:09:58 +0000</pubDate>
				<category><![CDATA[Technology]]></category>
		<category><![CDATA[AdaptiveMLC]]></category>
		<category><![CDATA[Bangla hate speech]]></category>
		<category><![CDATA[class imbalance]]></category>
		<category><![CDATA[few-shot learning]]></category>
		<category><![CDATA[FewShot]]></category>
		<category><![CDATA[Machine Learning]]></category>
		<category><![CDATA[minority labels]]></category>
		<category><![CDATA[multi-label classification]]></category>
		<category><![CDATA[Multi-task learning]]></category>
		<category><![CDATA[Natural Language Processing]]></category>
		<category><![CDATA[sequential]]></category>
		<category><![CDATA[XLM-RoBERTa]]></category>
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					<description><![CDATA[FewShot AdaptiveMLC raised macro-F1 by 0.072 on a multi-label Bangla hate speech dataset by fine-tuning task-specific heads for minority labels while freezing the shared encoder.]]></description>
		
		
		
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