3 citations · 3 across the 4 of their papers we have counts for
4 papers
Constructing Highly Inductive Contexts for Dialogue Safety through Controllable Reverse Generation
Zhexin Zhang, Jiale Cheng, Hao Sun +5
Large pretrained language models can easily produce toxic or biased content, which is prohibitive for practical use. In order to detect such toxic generations, existing methods rel…
Selecting Stickers in Open-Domain Dialogue through Multitask Learning
Zhexin Zhang, Yeshuang Zhu, Zhengcong Fei +2
With the increasing popularity of online chatting, stickers are becoming important in our online communication. Selecting appropriate stickers in open-domain dialogue requires a co…
Persona-Guided Planning for Controlling the Protagonist's Persona in Story Generation
Zhexin Zhang, Jiaxin Wen, Jian Guan +1
Endowing the protagonist with a specific personality is essential for writing an engaging story. In this paper, we aim to control the protagonist's persona in story generation, i.e…
OpenMEVA: A Benchmark for Evaluating Open-ended Story Generation Metrics
Jian Guan, Zhexin Zhang, Zhuoer Feng +5
Automatic metrics are essential for developing natural language generation (NLG) models, particularly for open-ended language generation tasks such as story generation. However, ex…