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Emotion Recognition In Conversation On

Metrics

Accuracy
Weighted-F1

Results

Performance results of various models on this benchmark

Paper Title
SDT73.9574.08A Transformer-Based Model With Self-Distillation for Multimodal Emotion Recognition in Conversations
GS-MCC73.873.9Revisiting Multimodal Emotion Recognition in Conversation from the Perspective of Graph Spectrum
Mamba-like Model73.173.3Revisiting Multi-modal Emotion Learning with Broad State Space Models and Probability-guidance Fusion
GraphSmile72.7772.81Tracing Intricate Cues in Dialogue: Joint Graph Structure and Sentiment Dynamics for Multimodal Emotion Recognition
SpeechCueLLM-72.596Beyond Silent Letters: Amplifying LLMs in Emotion Recognition with Vocal Nuances
MPT-HCL72.8372.51Multimodal Prompt Transformer with Hybrid Contrastive Learning for Emotion Recognition in Conversation
CKERC-72.40LaERC-S: Improving LLM-based Emotion Recognition in Conversation with Speaker Characteristics
EmoCaps-71.77EmoCaps: Emotion Capsule based Model for Conversational Emotion Recognition
DF-ERC71.8471.75Revisiting Disentanglement and Fusion on Modality and Context in Conversational Multimodal Emotion Recognition
InstructERC71.6871.39InstructERC: Reforming Emotion Recognition in Conversation with Multi-task Retrieval-Augmented Large Language Models
BiosERC-71.19BiosERC: Integrating Biography Speakers Supported by LLMs for ERC Tasks
SAMGN-71.11Structure-Aware Transformer for Graph Representation Learning
CFN-ESA70.7871.04CFN-ESA: A Cross-Modal Fusion Network with Emotion-Shift Awareness for Dialogue Emotion Recognition
ELR-GNN70.670.9Efficient Long-distance Latent Relation-aware Graph Neural Network for Multi-modal Emotion Recognition in Conversations
UniMSE70.5670.66UniMSE: Towards Unified Multimodal Sentiment Analysis and Emotion Recognition
TelME-70.48TelME: Teacher-leading Multimodal Fusion Network for Emotion Recognition in Conversation
EACL-70.41Emotion-Anchored Contrastive Learning Framework for Emotion Recognition in Conversation
GA2MIF69.7570.00GA2MIF: Graph and Attention Based Two-Stage Multi-Source Information Fusion for Conversational Emotion Detection
M2FNet69.6969.86M2FNet: Multi-modal Fusion Network for Emotion Recognition in Conversation
SPCL-CL-ERC-69.74Supervised Prototypical Contrastive Learning for Emotion Recognition in Conversation
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