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These RoBERTa embeddings are static – they don’t change during recommendation training. But they provide a strong initialization or side information.
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Use a weighted sum of the top 4 layers rather than the final layer only. This preserves syntactic (lower layers) and semantic (upper layers) information. These RoBERTa embeddings are static – they don’t
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