For language generation | |
tasks, we find that RAG models generate more specific, diverse and factual language than a state-of-the-art | |
parametric-only seq2seq baseline. |
For language generation | |
tasks, we find that RAG models generate more specific, diverse and factual language than a state-of-the-art | |
parametric-only seq2seq baseline. |