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CO3: Low-resource Contrastive Co-training for Generative Conversational Query Rewrite
March 19, 2024, 4:53 a.m. | Yifei Yuan, Chen Shi, Runze Wang, Liyi Chen, Renjun Hu, Zengming Zhang, Feijun Jiang, Wai Lam
cs.CL updates on arXiv.org arxiv.org
Abstract: Generative query rewrite generates reconstructed query rewrites using the conversation history while rely heavily on gold rewrite pairs that are expensive to obtain. Recently, few-shot learning is gaining increasing popularity for this task, whereas these methods are sensitive to the inherent noise due to limited data size. Besides, both attempts face performance degradation when there exists language style shift between training and testing cases. To this end, we study low-resource generative conversational query rewrite that …
abstract arxiv conversation conversational conversational query cs.cl data few-shot few-shot learning generative history low noise query the conversation training type
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