no code implementations • 10 Feb 2024 • Jian Wang, Chak Tou Leong, Jiashuo Wang, Dongding Lin, Wenjie Li, Xiao-Yong Wei
Tuning pretrained language models for dialogue generation has been a prevalent paradigm for building capable dialogue agents.
no code implementations • 11 Jan 2024 • Jiashuo Wang, Chunpu Xu, Chak Tou Leong, Wenjie Li, Jing Li
An emotional support conversation system aims to alleviate users' emotional distress and assist them in addressing their challenges.
1 code implementation • 28 Dec 2023 • Yang Xiao, Yi Cheng, Jinlan Fu, Jiashuo Wang, Wenjie Li, PengFei Liu
Human behavior simulation of AI agents necessitates the agents to possess a quality of believability, which is crucial as it facilitates users in establishing trust toward the agents and streamlines the fulfillment of the agents' goal.
1 code implementation • 14 Oct 2023 • Chak Tou Leong, Yi Cheng, Jiashuo Wang, Jian Wang, Wenjie Li
Drawing on this idea, we devise a method to identify the toxification direction from the normal generation process to the one prompted with the negative prefix, and then steer the generation to the reversed direction by manipulating the information movement within the attention layers.
1 code implementation • NeurIPS 2023 • Jiashuo Wang, Haozhao Wang, Shichao Sun, Wenjie Li
For this alignment, current popular methods leverage a reinforcement learning (RL) approach with a reward model trained on feedback from humans.
1 code implementation • 1 Nov 2022 • Jiashuo Wang, Yi Cheng, Wenjie Li
Recent approaches to empathetic response generation incorporate emotion causalities to enhance comprehension of both the user's feelings and experiences.
1 code implementation • 9 Oct 2022 • Yi Cheng, Wenge Liu, Wenjie Li, Jiashuo Wang, Ruihui Zhao, Bang Liu, Xiaodan Liang, Yefeng Zheng
Providing Emotional Support (ES) to soothe people in emotional distress is an essential capability in social interactions.
1 code implementation • 26 Sep 2022 • Peiqin Lin, Jiashuo Wang, Hinrich Schütze, Wenjie Li
To solve the task, it is essential to model the content-emotion duality of a dialogue, which is composed of the content view (i. e., what personal experiences are described) and the emotion view (i. e., the feelings of the speaker on these experiences).
no code implementations • 9 Oct 2021 • Jiashuo Wang, Wenjie Li, Peiqin Lin, Feiteng Mu
Empathetic response generation aims to comprehend the user emotion and then respond to it appropriately.