9 papers · 1 filter
Are Emotion and Rhetoric Neurons in LLM? Neuron Recognition and Adaptive Masking for Emotion-Rhetoric Prediction Steering
Li Zheng, Xin Zhang, Shuyi He +5
Accurate comprehension and controllable generation of emotion and rhetoric are pivotal for enhancing the reasoning capabilities of large language models (LLMs). Existing studies mo…
Enhance-then-Balance Modality Collaboration for Robust Multimodal Sentiment Analysis
Kang He, Yuzhe Ding, Xinrong Wang +3
Multimodal sentiment analysis (MSA) integrates heterogeneous text, audio, and visual signals to infer human emotions. While recent approaches leverage cross-modal complementarity,…
Dynamic Emotion and Personality Profiling for Multimodal Deception Detection
Li Zheng, Yanyi Luo, Hao Fei +5
Deception detection is of great significance for ensuring information security and conducting public opinion analysis, with personality factors and emotion cues playing a critical…
LASQ: A Low-resource Aspect-based Sentiment Quadruple Extraction Dataset
Aizihaierjiang Yusufu, Jiang Liu, Kamran Aziz +5
In recent years, aspect-based sentiment analysis (ABSA) has made rapid progress and shown strong practical value. However, existing research and benchmarks are largely concentrated…
DALR: Dual-level Alignment Learning for Multimodal Sentence Representation Learning
Kang He, Yuzhe Ding, Haining Wang +3
Previous multimodal sentence representation learning methods have achieved impressive performance. However, most approaches focus on aligning images and text at a coarse level, fac…
Zero-Shot Conversational Stance Detection: Dataset and Approaches
Yuzhe Ding, Kang He, Bobo Li +5
Stance detection, which aims to identify public opinion towards specific targets using social media data, is an important yet challenging task. With the increasing number of online…