1 citations · 1 across the 7 of their papers we have counts for
7 papers
Enhancing Semantic Consistency of Large Language Models through Model Editing: An Interpretability-Oriented Approach
Jingyuan Yang, Dapeng Chen, Yajing Sun +3
A Large Language Model (LLM) tends to generate inconsistent and sometimes contradictory outputs when presented with a prompt that has equivalent semantics but is expressed differen…
Knowledge-augmented Frame Semantic Parsing with Hybrid Prompt-tuning
Rui Zhang, Yajing Sun, Jingyuan Yang +1
Frame semantics-based approaches have been widely used in semantic parsing tasks and have become mainstream. It remains challenging to disambiguate frame representations evoked by…
Do You Know My Emotion? Emotion-Aware Strategy Recognition towards a Persuasive Dialogue System
Wei Peng, Yue Hu, Luxi Xing +2
Persuasive strategy recognition task requires the system to recognize the adopted strategy of the persuader according to the conversation. However, previous methods mainly focus on…
CogIntAc: Modeling the Relationships between Intention, Emotion and Action in Interactive Process from Cognitive Perspective
Wei Peng, Yue Hu, Yuqiang Xie +2
Intention, emotion and action are important psychological factors in human activities, which play an important role in the interaction between individuals. How to model the interac…
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…
Bi-directional Cognitive Thinking Network for Machine Reading Comprehension
Wei Peng, Yue Hu, Luxi Xing +4
We propose a novel Bi-directional Cognitive Knowledge Framework (BCKF) for reading comprehension from the perspective of complementary learning systems theory. It aims to simulate…