CMLFormer, a dual-decoder Transformer with synchronized cross-attention and switching point prediction objectives, improves F1 on HASOC-2021 Hinglish hate speech detection by up to 0.18 over a same-data BERTbase.
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CMLFormer: A Dual Decoder Transformer with Switching Point Learning for Code-Mixed Language Modeling
CMLFormer, a dual-decoder Transformer with synchronized cross-attention and switching point prediction objectives, improves F1 on HASOC-2021 Hinglish hate speech detection by up to 0.18 over a same-data BERTbase.