Jiawen Deng

On the Safety of Conversational Models: Taxonomy, Dataset, and Benchmark

2022 · Findings of the Association for Computational Linguistics: ACL 2022

Dialogue safety problems severely limit the real-world deployment of neural conversational models and have attracted great research interests recently. However, dialogue safety problems remain under-defined and the corresponding dataset is scarce. We propose a taxonomy …

COLD: A Benchmark for Chinese Offensive Language Detection

2022 · arXiv (Cornell University)

Offensive language detection is increasingly crucial for maintaining a civilized social media platform and deploying pre-trained language models. However, this task in Chinese is still under exploration due to the scarcity of reliable datasets. To …