29 citations · 55 across the 10 of their papers we have counts for
10 papers
Dual-Enhancement Product Bundling: Bridging Interactive Graph and Large Language Model
Zhe Huang, Peng Wang, Yan Zheng +2
Product bundling boosts e-commerce revenue by recommending complementary item combinations. However, existing methods face two critical challenges: (1) collaborative filtering appr…
Enhancing Large Language Model with Decomposed Reasoning for Emotion Cause Pair Extraction
Jialiang Wu, Yi Shen, Ziheng Zhang +1
Emotion-Cause Pair Extraction (ECPE) involves extracting clause pairs representing emotions and their causes in a document. Existing methods tend to overfit spurious correlations,…
Constrained Sequence-to-Tree Generation for Hierarchical Text Classification
Chao Yu, Yi Shen, Yue Mao +1
Hierarchical Text Classification (HTC) is a challenging task where a document can be assigned to multiple hierarchically structured categories within a taxonomy. The majority of pr…
Hybrid Curriculum Learning for Emotion Recognition in Conversation
Lin Yang, Yi Shen, Yue Mao +1
Emotion recognition in conversation (ERC) aims to detect the emotion label for each utterance. Motivated by recent studies which have proven that feeding training examples in a mea…
Reducing the Covariate Shift by Mirror Samples in Cross Domain Alignment
Yin Zhao, Minquan Wang, Longjun Cai
Eliminating the covariate shift cross domains is one of the common methods to deal with the issue of domain shift in visual unsupervised domain adaptation. However, current alignme…
Pairwise Emotional Relationship Recognition in Drama Videos: Dataset and Benchmark
Xun Gao, Yin Zhao, Jie Zhang +1
Recognizing the emotional state of people is a basic but challenging task in video understanding. In this paper, we propose a new task in this field, named Pairwise Emotional Relat…