an Jiaotong University)

Emotion-Cause Pair Extraction in Conversations (ECPEC) aims to identify speakers' emotions and the corresponding causes within conversation contexts. This task has gained increasing attention in recent years. Existing methods typically operate from the perspective of text object, inputting the en...

Large language models (LLMs) have achieved remarkable success across a wide range of applications especially when augmented by external knowledge through retrieval-augmented generation (RAG). Despite their widespread adoption, recent studies have shown that LLMs often struggle to perform faithful...

Text-based person retrieval (TPR) has become a crucial task in cross-modal retrieval due to its broad application in fields such as public safety and criminal investigation. Existing TPR methods typically rely on fully fine-tuning large-scale pretrained vision-language models like CLIP, which inc...