5 citations · 7 across the 10 of their papers we have counts for
13 papers · 1 filter
EvolvR: Self-Evolving Pairwise Reasoning for Story Evaluation to Enhance Generation
Xinda Wang, Zhengxu Hou, Yangshijie Zhang +6
Although the effectiveness of Large Language Models (LLMs) as judges (LLM-as-a-judge) has been validated, their performance remains limited in open-ended tasks, particularly in sto…
Psychology-guided Controllable Story Generation
Yuqiang Xie, Yue Hu, Yunpeng Li +3
Controllable story generation is a challenging task in the field of NLP, which has attracted increasing research interest in recent years. However, most existing works generate a w…
COMMA: Modeling Relationship among Motivations, Emotions and Actions in Language-based Human Activities
Yuqiang Xie, Yue Hu, Wei Peng +2
Motivations, emotions, and actions are inter-related essential factors in human activities. While motivations and emotions have long been considered at the core of exploring how pe…
CLSEG: Contrastive Learning of Story Ending Generation
Yuqiang Xie, Yue Hu, Luxi Xing +3
Story Ending Generation (SEG) is a challenging task in natural language generation. Recently, methods based on Pre-trained Language Models (PLM) have achieved great prosperity, whi…
Modeling Intention, Emotion and External World in Dialogue Systems
Wei Peng, Yue Hu, Luxi Xing +3
Intention, emotion and action are important elements in human activities. Modeling the interaction process between individuals by analyzing the relationships between these elements…
Know Deeper: Knowledge-Conversation Cyclic Utilization Mechanism for Open-domain Dialogue Generation
Yajing Sun, Yue Hu, Luxi Xing +2
End-to-End intelligent neural dialogue systems suffer from the problems of generating inconsistent and repetitive responses. Existing dialogue models pay attention to unilaterally…