Xiang Kong

An Adversarial Approach to High-Quality, Sentiment-Controlled Neural Dialogue Generation

2019 · arXiv (Cornell University)

In this work, we propose a method for neural dialogue response generation that allows not only generating semantically reasonable responses according to the dialogue history, but also explicitly controlling the sentiment of the response via …

Direct Large Language Model Alignment Through Self-Rewarding Contrastive Prompt Distillation

2024

Aiwei Liu, Haoping Bai, Zhiyun Lu, Xiang Kong, Xiaoming Wang, Jiulong Shan, Meng Cao, Lijie Wen. Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2024.