81 citations · 85 across the 5 of their papers we have counts for
4 papers · 1 filter
CET2: Modelling Topic Transitions for Coherent and Engaging Knowledge-Grounded Conversations
Lin Xu, Qixian Zhou, Jinlan Fu +1
Knowledge-grounded dialogue systems aim to generate coherent and engaging responses based on the dialogue contexts and selected external knowledge. Previous knowledge selection met…
LLM can Achieve Self-Regulation via Hyperparameter Aware Generation
Siyin Wang, Shimin Li, Tianxiang Sun +6
In the realm of Large Language Models (LLMs), users commonly employ diverse decoding strategies and adjust hyperparameters to control the generated text. However, a critical questi…
OmniDialog: An Omnipotent Pre-training Model for Task-Oriented Dialogue System
Mingtao Yang, See-Kiong Ng, Jinlan Fu
Pre-trained conversation models (PCMs) have demonstrated remarkable results in task-oriented dialogue (TOD) systems. Many PCMs focus predominantly on dialogue management tasks like…
GPTScore: Evaluate as You Desire
Jinlan Fu, See-Kiong Ng, Zhengbao Jiang +1
Generative Artificial Intelligence (AI) has enabled the development of sophisticated models that are capable of producing high-caliber text, images, and other outputs through the u…