5 papers
Signal or Spurious Cue? A Randomized Audit of Survey-Country Metadata in LLM Social Inference
Yifan Lyu, Xinran Li, Jiaqi Qiao +1
Survey-country metadata can improve an LLM's forecast of an individual response when informative, yet the same cue may redirect the forecast when assigned at random. A within-recor…
TCDA: Thread-Constrained Discourse-Aware Modeling for Conversational Sentiment Quadruple Analysis
Xinran Li, Xinze Che, Yifan Lyu +2
Conversational Aspect-based Sentiment Quadruple Analysis (DiaASQ) needs to capture the complex interrelationships in multiple rounds of dialogues. Existing methods usually employ s…
Expert-Guided Multimodal Fusion for Unified Emotion and Sentiment Analysis
Jiaqi Qiao, Xiujuan Xu, Xinran Li +3
Multimodal emotion understanding requires the integration of heterogeneous data sources, including text, audio, and visual modalities, while simultaneously addressing discrete emot…
Do LLMs Feel? Teaching Emotion Recognition with Prompts, Retrieval, and Curriculum Learning
Xinran Li, Yu Liu, Jiaqi Qiao +1
Emotion Recognition in Conversation (ERC) is a crucial task for understanding human emotions and enabling natural human-computer interaction. Although Large Language Models (LLMs)…
Long-Short Distance Graph Neural Networks and Improved Curriculum Learning for Emotion Recognition in Conversation
Xinran Li, Xiujuan Xu, Jiaqi Qiao
Emotion Recognition in Conversation (ERC) is a practical and challenging task. This paper proposes a novel multimodal approach, the Long-Short Distance Graph Neural Network (LSDGNN…