4 papers
Demystifying Lazy Training of Neural Networks from a Macroscopic Viewpoint
Yuqing Li, Tao Luo, Qixuan Zhou
In this paper, we advance the understanding of neural network training dynamics by examining the intricate interplay of various factors introduced by weight parameters in the initi…
Triple GNNs: Introducing Syntactic and Semantic Information for Conversational Aspect-Based Quadruple Sentiment Analysis
Binbin Li, Yuqing Li, Siyu Jia +6
Conversational Aspect-Based Sentiment Analysis (DiaASQ) aims to detect quadruples \{target, aspect, opinion, sentiment polarity\} from given dialogues. In DiaASQ, elements constitu…
AC-EVAL: Evaluating Ancient Chinese Language Understanding in Large Language Models
Yuting Wei, Yuanxing Xu, Xinru Wei +5
Given the importance of ancient Chinese in capturing the essence of rich historical and cultural heritage, the rapid advancements in Large Language Models (LLMs) necessitate benchm…
Dynamic Multi-Scale Context Aggregation for Conversational Aspect-Based Sentiment Quadruple Analysis
Yuqing Li, Wenyuan Zhang, Binbin Li +3
Conversational aspect-based sentiment quadruple analysis (DiaASQ) aims to extract the quadruple of target-aspect-opinion-sentiment within a dialogue. In DiaASQ, a quadruple's eleme…