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A Large Collection of Model-generated Contradictory Responses for Consistency-aware Dialogue Systems
March 20, 2024, 4:48 a.m. | Shiki Sato, Reina Akama, Jun Suzuki, Kentaro Inui
cs.CL updates on arXiv.org arxiv.org
Abstract: Mitigating the generation of contradictory responses poses a substantial challenge in dialogue response generation. The quality and quantity of available contradictory response data play a vital role in suppressing these contradictions, offering two significant benefits. First, having access to large contradiction data enables a comprehensive examination of their characteristics. Second, data-driven methods to mitigate contradictions may be enhanced with large-scale contradiction data for training. Nevertheless, no attempt has been made to build an extensive collection …
abstract arxiv benefits challenge collection cs.cl data dialogue generated quality responses role systems type vital
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