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Long-form question answering (LFQA) aims at answering complex, open-ended questions with detailed, paragraph-length responses.
Neural text generation with unlikelihood training
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Hurdles to progress in long-form question answering
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Cpm: A large-scale generative chinese pre-trained language model
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Mengzi: Towards lightweight yet ingenious pre-trained models for chinese
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Modeling exemplification in long-form question answering via retrieval
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