29 citations · 42 across the 6 of their papers we have counts for
6 papers
Improve Decoding Factuality by Token-wise Cross Layer Entropy of Large Language Models
Jialiang Wu, Yi Shen, Sijia Liu +4
Despite their impressive capacities, Large language models (LLMs) often struggle with the hallucination issue of generating inaccurate or fabricated content even when they possess…
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…
A Joint Training Dual-MRC Framework for Aspect Based Sentiment Analysis
Yue Mao, Yi Shen, Chao Yu +1
Aspect based sentiment analysis (ABSA) involves three fundamental subtasks: aspect term extraction, opinion term extraction, and aspect-level sentiment classification. Early works…
Predicting the Popularity of Online Videos via Deep Neural Networks
Yue Mao, Yi Shen, Gang Qin +1
Predicting the popularity of online videos is important for video streaming content providers. This is a challenging problem because of the following two reasons. First, the proble…