Conversational Emotion Recognition on IEMOCAP (6-class)
77.3Weighted Average F1 ScoreVISAFF
Evaluation results
| Method | Links | ||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| VISAFFLM FT?=No2026.05 | 77.3 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 61.13 | 86.61 | 82.47 | 75.94 | 79.93 | 70.7 | |
| SDT2026.05 | 74.08 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 66.19 | 81.84 | 74.62 | 69.73 | 80.17 | 68.68 | |
| GS-MCCParameters=2.10M2024.04 | 73.9 | 60.2 | 65.4 | 86.2 | 81.2 | 75.7 | 70.9 | 71.7 | 70.8 | 83.2 | 81.4 | 66 | 71 | 73.8 | — | — | — | — | — | — | — | — | |
| ML-SAN2026.04 | 73.28 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| MultiEMO (Original)reproduction=false2026.04 | 72.84 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| MultiEMO (Rep.)reproduction=true2026.04 | 72.02 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| PRC-EmoBackbone=Qwen2.5/3, External FREE=NO, Training Protocol=Dataset-Specific Setting2026.04 | 71.95 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 71.03 | — | — | — | — | — | — | |
| ECERC2026.05 | 71.78 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 60.86 | 79.28 | 71.95 | 66.27 | 78.29 | 68.25 | |
| Llama2Parameters=12.5M(7B), Extra Knowledge=✗, Model type=LLM-based, Method Setting=LoRA + InstructERC2023.09 | 71.39 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| InstructERCBackbone=LLaMA2-7B, External FREE=NO, Training Protocol=Dataset-Specific Setting2026.04 | 71.39 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| BiosERCBackbone=LLaMA2-13B, External FREE=NO, Training Protocol=Dataset-Specific Setting2026.04 | 71.19 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| AdaGINParameters=6.3M2024.04 | 70.7 | 53 | — | 81.5 | — | 71.3 | — | 65.9 | — | 76.3 | — | 67.8 | — | 70.5 | — | — | — | — | — | — | — | — | |
| AdaGIN2026.05 | 70.7 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 53 | 81.5 | 71.3 | 65.9 | 76.3 | 67.8 | |
| UniMSEParameters=220M, Extra Knowledge=✗, Model type=transformer, Method Setting=Small-scale Pretrained Language Model2023.09 | 70.66 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| UniMSE2026.04 | 70.66 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| EACLArchitecture Type=Sequence-based, Backbone=SimCSE-Roberta-Large2024.03 | 70.41 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| LSDGNN+ICLBackbone=-, External FREE=-, Training Protocol=Dataset-Specific Setting2026.04 | 70.24 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 70.35 | — | — | — | — | — | — | |
| SIGATArchitecture Type=Graph-based2024.03 | 70.17 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| GA2MIF2022.07 | 70 | — | 46.15 | — | 84.5 | — | 68.38 | — | 70.29 | — | 75.99 | — | 66.49 | — | — | 69.75 | — | — | — | — | — | — | |
| DIEUArchitecture Type=Sequence-based2024.03 | 69.9 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| EmoBERTa2026.05 | 69.9 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 56.4 | 83 | 61.5 | 69.6 | 78 | 68.7 | |
| SCCLArchitecture Type=Sequence-based2024.03 | 69.88 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| M2FNetModality=Multimodal2022.06 | 69.86 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 69.69 | — | — | — | — | — | — | |
| M2FNetExtra Knowledge=✗, Model type=transformer, Method Setting=Small-scale Discriminant ERC-specific Model2023.09 | 69.86 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| M2FNet2026.05 | 69.86 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 60 | 82.11 | 65.88 | 68.21 | 72.6 | 68.31 | |
| HAUCL2026.05 | 69.56 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 54.3 | 81.85 | 68.24 | 65.9 | 77.03 | 64.52 | |
| EmotionICExtra Knowledge=✗, Model type=recurrent, Method Setting=Small-scale Discriminant ERC-specific Model2023.09 | 69.5 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| EmocapsArchitecture Type=Sequence-based2024.03 | 69.49 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| COMPMArchitecture Type=Sequence-based2024.03 | 69.46 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| DER-GCNParameters=78.59M2024.04 | 69.4 | 60.7 | 58.8 | 75.9 | 79.8 | 66.5 | 61.5 | 71.3 | 72.1 | 71.1 | 73.3 | 66.1 | 67.8 | 69.7 | — | — | — | — | — | — | — | — | |
| DER-GCNBackbone=-, External FREE=-, Training Protocol=Dataset-Specific Setting2026.04 | 69.4 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 69.7 | — | — | — | — | — | — | |
| CBERLBackbone=-, External FREE=-, Training Protocol=Dataset-Specific Setting2026.04 | 69.27 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 69.36 | — | — | — | — | — | — | |
| DialogueTRMModality=Multimodal2022.06 | 69.23 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 68.92 | — | — | — | — | — | — | |
| SACLArchitecture Type=Sequence-based2024.03 | 69.22 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| SACL-LSTMParameters=2.6M, Extra Knowledge=✗, Model type=recurrent, Method Setting=Small-scale Discriminant ERC-specific Model2023.09 | 69.22 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| HCANParameters=3.5M, Extra Knowledge=✗, Model type=recurrent, Method Setting=Small-scale Discriminant ERC-specific Model2023.09 | 69.21 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| MultiDAG+CLBackbone=-, External FREE=-, Training Protocol=Dataset-Specific Setting2026.04 | 69.08 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 69.11 | — | — | — | — | — | — | |
| DialogueEINArchitecture Type=Sequence-based2024.03 | 68.93 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| GraphCFCExtra Knowledge=✗, Model type=GNN, Method Setting=Small-scale Discriminant ERC-specific Model2023.09 | 68.91 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| DER-GCN2026.05 | 68.8 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 58.8 | 79.8 | 61.5 | 72.1 | 73.3 | 67.8 | |
| DAG-ERC+HCLArchitecture Type=Graph-based2024.03 | 68.73 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| DAG-ERC + SBase Model=DAG-ERC, Grayscale Label Type=self2022.06 | 68.57 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| EmoBERTaParameters=355M, Extra Knowledge=✗, Model type=transformer, Method Setting=Small-scale Pretrained Language Model2023.09 | 68.57 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| DAG-ERC + SABase Model=DAG-ERC, Grayscale Label Type=self-adjust2022.06 | 68.43 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| SPCLParameters=356.7M, Extra Knowledge=✗, Model type=transformer, Method Setting=Small-scale Discriminant ERC-specific Model2023.09 | 68.42 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| LR-GCNParameters=15.77M2024.04 | 68.3 | 54.2 | 55.5 | 81.6 | 79.1 | 59.1 | 63.8 | 69.4 | 69 | 76.3 | 74 | 68.2 | 68.9 | 68.5 | — | — | — | — | — | — | — | — | |
| LR-GCNBackbone=-, External FREE=-, Training Protocol=Dataset-Specific Setting2026.04 | 68.3 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 68.5 | — | — | — | — | — | — | |
| MM-DFN2026.05 | 68.18 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 42.22 | 78.98 | 66.42 | 69.77 | 75.56 | 66.33 | |
| SupConArchitecture Type=Sequence-based2024.03 | 68.14 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| DAG-ERCBase Model=DAG-ERC, Grayscale Label Type=None2022.06 | 68.03 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| DAG-ERCArchitecture Type=Graph-based2024.03 | 68.03 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| DAG-ERCBackbone=-, External FREE=-, Training Protocol=Dataset-Specific Setting2026.04 | 68.03 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 67.53 | — | — | — | — | — | — | |
| COGMEN2024.04 | 67.6 | 57.4 | 51.9 | 81.4 | 81.7 | 65.4 | 68.6 | 69.5 | 66 | 83.3 | 75.3 | 63.8 | 68.2 | 68.2 | — | — | — | — | — | — | — | — | |
| ChatGLM2Parameters=12.5M(6B), Extra Knowledge=✗, Model type=LLM-based, Method Setting=LoRA + InstructERC2023.09 | 67.54 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| DialogueCRNParameters=3.3M, Extra Knowledge=✗, Model type=recurrent, Method Setting=Small-scale Discriminant ERC-specific Model2023.09 | 67.53 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| COMPM + SABase Model=COMPM, Grayscale Label Type=self-adjust2022.06 | 67.52 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| COMPM + SBase Model=COMPM, Grayscale Label Type=self2022.06 | 67.5 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| CTNetParameters=8.49M2024.04 | 67.5 | 47.9 | 51.3 | 78 | 79.9 | 69 | 65.8 | 72.9 | 67.2 | 85.3 | 78.7 | 52.2 | 58.8 | 68 | — | — | — | — | — | — | — | — | |
| EmoBERTaParameters=499M2024.04 | 67.3 | 56.9 | 56.4 | 79.1 | 83 | 64 | 61.5 | 70.6 | 69.6 | 86 | 78 | 63.8 | 68.7 | 67.3 | — | — | — | — | — | — | — | — | |
| CoMPM2024.04 | 67.2 | 59.9 | 60.7 | 78 | 82.2 | 60.4 | 63 | 70.2 | 59.9 | 85.8 | 78.2 | 62.9 | 59.5 | 67.7 | — | — | — | — | — | — | — | — | |
| SPCL+CLArchitecture Type=Sequence-based, Backbone=SimCSE-Roberta-Large2024.03 | 67.19 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| COSMIC+CKCLArchitecture Type=Sequence-based2024.03 | 67.16 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| KI-NETParameters=500M, Extra Knowledge=ConceptNet, Model type=transformer, Method Setting=Small-scale Pretrained Language Model2023.09 | 67 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| SKAIGExtra Knowledge=COMET, Model type=GNN, Method Setting=Small-scale Discriminant ERC-specific Model2023.09 | 66.96 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| MPLPArchitecture Type=Sequence-based2024.03 | 66.65 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| DAG-ERCParameters=9.5M, Extra Knowledge=✗, Model type=GNN, Method Setting=Small-scale Discriminant ERC-specific Model2023.09 | 66.54 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| RGATArchitecture Type=Graph-based2024.03 | 66.36 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| COMPMBase Model=COMPM, Grayscale Label Type=None2022.06 | 66.33 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| MMGCNBackbone=-, External FREE=-, Training Protocol=Dataset-Specific Setting2026.04 | 66.22 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| MMGCN2026.04 | 66.22 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| MMGCNParameters=0.46M2024.04 | 66.2 | 43.1 | 42.3 | 79.3 | 78.7 | 63.5 | 61.7 | 69.6 | 69 | 75.8 | 74.3 | 63.5 | 62.3 | 67.4 | — | — | — | — | — | — | — | — | |
| CoG-BART2021.12 | 66.18 | — | — | — | — | — | — | — | — | — | — | — | — | — | 66.71 | — | — | — | — | — | — | — | |
| Cog-BARTArchitecture Type=Sequence-based2024.03 | 66.18 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| DialogXL2021.12 | 65.94 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| DialogueXLParameters=510M, Extra Knowledge=✗, Model type=transformer, Method Setting=Small-scale Pretrained Language Model2023.09 | 65.94 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| RoBERTa + SABase Model=RoBERTa, Grayscale Label Type=self-adjust2022.06 | 65.85 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| MMGCN2022.07 | 65.71 | — | 45.45 | — | 77.53 | — | 61.99 | — | 66.67 | — | 72.04 | — | 64.12 | — | — | 65.56 | — | — | — | — | — | — | |
| Psychological + SBase Model=Psychological, Grayscale Label Type=self2022.06 | 65.43 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| COINParameters=0.5M, Extra Knowledge=✗, Model type=recurrent, Method Setting=Small-scale Discriminant ERC-specific Model2023.09 | 65.37 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| DialogueCRN2022.07 | 65.34 | — | 51.59 | — | 74.54 | — | 62.38 | — | 67.25 | — | 73.96 | — | 59.97 | — | — | 65.31 | — | — | — | — | — | — | |
| COSMICBackbone=-, External FREE=-, Training Protocol=Dataset-Specific Setting2026.04 | 65.28 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| COSMICArchitecture Type=Sequence-based2024.03 | 65.25 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| RGATParameters=13M, Extra Knowledge=✗, Model type=GNN, Method Setting=Small-scale Discriminant ERC-specific Model2023.09 | 65.22 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| RGATParameters=15.28M2024.04 | 65.2 | 60.1 | 51.6 | 78.8 | 77.3 | 60.1 | 65.4 | 70.7 | 63 | 78 | 68 | 64.3 | 61.2 | 65 | — | — | — | — | — | — | — | — | |
| DialogueGCN2022.07 | 65.04 | — | 47.1 | — | 80.88 | — | 58.71 | — | 66.08 | — | 70.97 | — | 61.21 | — | — | 65.54 | — | — | — | — | — | — | |
| COSMICParameters=11.9M, Extra Knowledge=COMET, Model type=recurrent, Method Setting=Small-scale Discriminant ERC-specific Model2023.09 | 65.03 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| CauAINParameters=6.1M, Extra Knowledge=ATOMIC, Model type=recurrent, Method Setting=Small-scale Discriminant ERC-specific Model2023.09 | 65.01 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| Psychological + SABase Model=Psychological, Grayscale Label Type=self-adjust2022.06 | 64.92 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| DialogueGCNArchitecture Type=Graph-based2024.03 | 64.91 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| CoG-BARTParameters=415.1M, Extra Knowledge=✗, Model type=transformer, Method Setting=Small-scale Discriminant ERC-specific Model2023.09 | 64.87 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| RoBERTa + WBase Model=RoBERTa, Grayscale Label Type=word-embedding2022.06 | 64.85 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| RoBERTa + CBase Model=RoBERTa, Grayscale Label Type=category2022.06 | 64.83 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| SELF-EMOBackbone=Qwen3-8B, External FREE=YES, Training Protocol=Dataset-Unified Setting2026.04 | 64.81 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 66.11 | — | — | — | — | — | — | |
| RoBERTa + SBase Model=RoBERTa, Grayscale Label Type=self2022.06 | 64.78 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| COG-BART + SABase Model=COG-BART, Grayscale Label Type=self-adjust2022.06 | 64.77 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| DialogueRNNParameters=9.9M, Extra Knowledge=✗, Model type=recurrent, Method Setting=Small-scale Discriminant ERC-specific Model2023.09 | 64.65 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| BiERU-lcModality=textual, Context scope=local2020.05 | 64.59 | 55.44 | 31.56 | 80.19 | 84.13 | 64.73 | 59.66 | 69.05 | 65.25 | 63.18 | 74.32 | 61.06 | 61.54 | 66.09 | — | — | — | — | — | — | — | — | |
| COG-BART + SBase Model=COG-BART, Grayscale Label Type=self2022.06 | 64.55 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| HiTrans2021.12 | 64.5 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| A-DMN2024.04 | 64.3 | 43.1 | 50.6 | 69.4 | 76.8 | 63 | 62.9 | 63.5 | 56.5 | 88.3 | 77.9 | 53.3 | 55.7 | 64.6 | — | — | — | — | — | — | — | — |