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MELD

아카이브 평가 68건 · 마지막 적재/변경 2026-10-30

평가 기록

과거 수집 기록이며 최신 순위가 아닙니다. 데이터셋 버전·split·실험 조건과 지표 방향이 검증되지 않은 결과는 직접 비교할 수 없습니다. 날짜는 논문 날짜이며 최신 평가일을 뜻하지 않습니다.

표가 화면보다 넓으면 좌우로 스크롤하여 논문과 구현 링크를 확인하세요.

원본 기록 순서 · 순위 미부여
모델	원본 지표·값	논문	구현
ELR-GNN	Weighted-F1 69.9 Accuracy 68.7	Efficient Long-distance Latent Relation-aware Graph Neural Network for Multi-modal Emotion Recognition in Conversations 2024-06-27	연결 없음
BiosERC	Weighted-F1 69.83	BiosERC: Integrating Biography Speakers Supported by LLMs for ERC Tasks 2024-07-05	코드 1
CKERC	Weighted-F1 69.27	CKERC : Joint Large Language Models with Commonsense Knowledge for Emotion Recognition in Conversation 2024-03-12	연결 없음
InstructERC	Weighted-F1 69.15	InstructERC: Reforming Emotion Recognition in Conversation with Multi-task Retrieval-Augmented Large Language Models 2023-09-21	코드 1
GS-MCC	Weighted-F1 69.0 Accuracy 68.1	Revisiting Multimodal Emotion Recognition in Conversation from the Perspective of Graph Spectrum 2024-04-27	연결 없음
SpeechCueLLM	Weighted-F1 67.604	Beyond Silent Letters: Amplifying LLMs in Emotion Recognition with Vocal Nuances 2024-07-31	코드 1
Mamba-like Model	Weighted-F1 67.6 Accuracy 68.0	Revisiting Multi-modal Emotion Learning with Broad State Space Models and Probability-guidance Fusion 2024-04-27	연결 없음
TelME	Weighted-F1 67.37	TelME: Teacher-leading Multimodal Fusion Network for Emotion Recognition in Conversation 2024-01-16	코드 1
SPCL-CL-ERC	Weighted-F1 67.25	Supervised Prototypical Contrastive Learning for Emotion Recognition in Conversation 2022-10-17	코드 1
EACL	Weighted-F1 67.12	Emotion-Anchored Contrastive Learning Framework for Emotion Recognition in Conversation 2024-03-29	코드 1
DF-ERC	Weighted-F1 67.03 Accuracy 68.28	Revisiting Disentanglement and Fusion on Modality and Context in Conversational Multimodal Emotion Recognition 2023-08-08	연결 없음
HiDialog	Weighted-F1 66.96	Hierarchical Dialogue Understanding with Special Tokens and Turn-level Attention 2023-04-29	코드 1
SACL-LSTM (one seed)	Weighted-F1 66.86 Accuracy 67.89	Supervised Adversarial Contrastive Learning for Emotion Recognition in Conversations 2023-06-02	코드 1
FacialMMT	Weighted-F1 66.73	A Facial Expression-Aware Multimodal Multi-task Learning Framework for Emotion Recognition in Multi-party Conversations 2023-07-01	코드 1
M2FNet	Weighted-F1 66.71 Accuracy 67.85	M2FNet: Multi-modal Fusion Network for Emotion Recognition in Conversation 2022-06-05	연결 없음
GraphSmile	Weighted-F1 66.71 Accuracy 67.70	Tracing Intricate Cues in Dialogue: Joint Graph Structure and Sentiment Dynamics for Multimodal Emotion Recognition 2024-07-31	코드 1
CFN-ESA	Weighted-F1 66.70 Accuracy 67.85	CFN-ESA: A Cross-Modal Fusion Network with Emotion-Shift Awareness for Dialogue Emotion Recognition 2023-07-28	코드 1
SDT	Weighted-F1 66.60 Accuracy 67.55	A Transformer-Based Model With Self-Distillation for Multimodal Emotion Recognition in Conversations 2023-10-31	코드 1
CoMPM	Weighted-F1 66.52	CoMPM: Context Modeling with Speaker's Pre-trained Memory Tracking for Emotion Recognition in Conversation 2021-08-26	코드 1
EmotionFlow-large	Weighted-F1 66.50	EmotionFlow: Capture the Dialogue Level Emotion Transitions 2022-05-07	코드 1
EmoOne-RoBERTa	Weighted-F1 66.49	The Emotion is Not One-hot Encoding: Learning with Grayscale Label for Emotion Recognition in Conversation 2022-06-15	코드 1
SACL-LSTM	Weighted-F1 66.45 Accuracy 67.51	Supervised Adversarial Contrastive Learning for Emotion Recognition in Conversations 2023-06-02	코드 1
EmotionIC	Weighted-F1 66.32 Micro-F1 67.59	EmotionIC: emotional inertia and contagion-driven dependency modeling for emotion recognition in conversation 2023-03-20	코드 1
M2FNet-Text	Weighted-F1 66.23 Accuracy 67.24	M2FNet: Multi-modal Fusion Network for Emotion Recognition in Conversation 2022-06-05	연결 없음
Static-Dynamic Modeling	Weighted-F1 65.90	Static and Dynamic Speaker Modeling based on Graph Neural Network for Emotion Recognition in Conversation 논문 날짜 미기재	연결 없음
Audio + Text (Stage III)	Weighted-F1 65.8	HCAM -- Hierarchical Cross Attention Model for Multi-modal Emotion Recognition 2023-04-14	연결 없음
DialogueCRN+RoBERTa	Weighted-F1 65.77 Accuracy 66.93	DialogueCRN: Contextual Reasoning Networks for Emotion Recognition in Conversations 2021-06-03	코드 1 · 코드 2
EmoBERTa	Weighted-F1 65.61	EmoBERTa: Speaker-Aware Emotion Recognition in Conversation with RoBERTa 2021-08-26	코드 1
GRASP_Large	Weighted-F1 65.6	GRASP: Guiding model with RelAtional Semantics using Prompt for Dialogue Relation Extraction 2022-08-26	코드 1
UniMSE	Weighted-F1 65.51 Accuracy 65.09	UniMSE: Towards Unified Multimodal Sentiment Analysis and Emotion Recognition 2022-11-21	코드 1