AffectGPT: A New Dataset, Model, and Benchmark for Emotion Understanding with Multimodal Large Language Models
Fuente:
arXiv
Saved in:
| Main Authors: | Lian, Zheng, Chen, Haoyu, Chen, Lan, Sun, Haiyang, Sun, Licai, Ren, Yong, Cheng, Zebang, Liu, Bin, Liu, Rui, Peng, Xiaojiang, Yi, Jiangyan, Tao, Jianhua |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
AffectGPT: Dataset and Framework for Explainable Multimodal Emotion Recognition
by: Lian, Zheng, et al.
Published: (2024)
by: Lian, Zheng, et al.
Published: (2024)
AffectGPT-RL: Revealing Roles of Reinforcement Learning in Open-Vocabulary Emotion Recognition
by: Lian, Zheng, et al.
Published: (2026)
by: Lian, Zheng, et al.
Published: (2026)
AffectGPT-R1: Leveraging Reinforcement Learning for Open-Vocabulary Multimodal Emotion Recognition
by: Lian, Zheng, et al.
Published: (2025)
by: Lian, Zheng, et al.
Published: (2025)
MERBench: A Unified Evaluation Benchmark for Multimodal Emotion Recognition
by: Lian, Zheng, et al.
Published: (2024)
by: Lian, Zheng, et al.
Published: (2024)
EmoPrefer: Can Large Language Models Understand Human Emotion Preferences?
by: Lian, Zheng, et al.
Published: (2025)
by: Lian, Zheng, et al.
Published: (2025)
GPT-4V with Emotion: A Zero-shot Benchmark for Generalized Emotion Recognition
by: Lian, Zheng, et al.
Published: (2023)
by: Lian, Zheng, et al.
Published: (2023)
Can Deception Detection Go Deeper? Dataset, Evaluation, and Benchmark for Deception Reasoning
by: Chen, Kang, et al.
Published: (2024)
by: Chen, Kang, et al.
Published: (2024)
OV-MER: Towards Open-Vocabulary Multimodal Emotion Recognition
by: Lian, Zheng, et al.
Published: (2024)
by: Lian, Zheng, et al.
Published: (2024)
Explainable Multimodal Emotion Recognition
by: Lian, Zheng, et al.
Published: (2023)
by: Lian, Zheng, et al.
Published: (2023)
ITEACH-Net: Inverted Teacher-studEnt seArCH Network for Emotion Recognition in Conversation
by: Sun, Haiyang, et al.
Published: (2023)
by: Sun, Haiyang, et al.
Published: (2023)
HiCMAE: Hierarchical Contrastive Masked Autoencoder for Self-Supervised Audio-Visual Emotion Recognition
by: Sun, Licai, et al.
Published: (2024)
by: Sun, Licai, et al.
Published: (2024)
SVFAP: Self-supervised Video Facial Affect Perceiver
by: Sun, Licai, et al.
Published: (2023)
by: Sun, Licai, et al.
Published: (2023)
Multimodal Fusion with Pre-Trained Model Features in Affective Behaviour Analysis In-the-wild
by: Wen, Zhuofan, et al.
Published: (2024)
by: Wen, Zhuofan, et al.
Published: (2024)
MER 2024: Semi-Supervised Learning, Noise Robustness, and Open-Vocabulary Multimodal Emotion Recognition
by: Lian, Zheng, et al.
Published: (2024)
by: Lian, Zheng, et al.
Published: (2024)
IRNet: Iterative Refinement Network for Noisy Partial Label Learning
by: Lian, Zheng, et al.
Published: (2022)
by: Lian, Zheng, et al.
Published: (2022)
Emotion-LLaMAv2 and MMEVerse: A New Framework and Benchmark for Multimodal Emotion Understanding
by: Peng, Xiaojiang, et al.
Published: (2026)
by: Peng, Xiaojiang, et al.
Published: (2026)
Emotion and Intent Joint Understanding in Multimodal Conversation: A Benchmarking Dataset
by: Liu, Rui, et al.
Published: (2024)
by: Liu, Rui, et al.
Published: (2024)
Emotion-LLaMA: Multimodal Emotion Recognition and Reasoning with Instruction Tuning
by: Cheng, Zebang, et al.
Published: (2024)
by: Cheng, Zebang, et al.
Published: (2024)
MIPS at SemEval-2024 Task 3: Multimodal Emotion-Cause Pair Extraction in Conversations with Multimodal Language Models
by: Cheng, Zebang, et al.
Published: (2024)
by: Cheng, Zebang, et al.
Published: (2024)
EmoTrans: A Benchmark for Understanding, Reasoning, and Predicting Emotion Transitions in Multimodal LLMs
by: Hu, He, et al.
Published: (2026)
by: Hu, He, et al.
Published: (2026)
Multimodal Multi-turn Conversation Stance Detection: A Challenge Dataset and Effective Model
by: Niu, Fuqiang, et al.
Published: (2024)
by: Niu, Fuqiang, et al.
Published: (2024)
MME-Emotion: A Holistic Evaluation Benchmark for Emotional Intelligence in Multimodal Large Language Models
by: Zhang, Fan, et al.
Published: (2025)
by: Zhang, Fan, et al.
Published: (2025)
Emotion-Qwen: A Unified Framework for Emotion and Vision Understanding
by: Huang, Dawei, et al.
Published: (2025)
by: Huang, Dawei, et al.
Published: (2025)
Why We Feel: Breaking Boundaries in Emotional Reasoning with Multimodal Large Language Models
by: Lin, Yuxiang, et al.
Published: (2025)
by: Lin, Yuxiang, et al.
Published: (2025)
EmoBench-M: Benchmarking Emotional Intelligence for Multimodal Large Language Models
by: Hu, He, et al.
Published: (2025)
by: Hu, He, et al.
Published: (2025)
A Multimodal Benchmark Dataset and Model for Crop Disease Diagnosis
by: Liu, Xiang, et al.
Published: (2025)
by: Liu, Xiang, et al.
Published: (2025)
MER 2026: From Discriminative Emotion Recognition to Generative Emotion Understanding
by: Lian, Zheng, et al.
Published: (2026)
by: Lian, Zheng, et al.
Published: (2026)
SZTU-CMU at MER2024: Improving Emotion-LLaMA with Conv-Attention for Multimodal Emotion Recognition
by: Cheng, Zebang, et al.
Published: (2024)
by: Cheng, Zebang, et al.
Published: (2024)
Audio Deepfake Attribution: An Initial Dataset and Investigation
by: Yan, Xinrui, et al.
Published: (2022)
by: Yan, Xinrui, et al.
Published: (2022)
Advancing Singlish Understanding: Bridging the Gap with Datasets and Multimodal Models
by: Wang, Bin, et al.
Published: (2025)
by: Wang, Bin, et al.
Published: (2025)
Learning Transferable Facial Emotion Representations from Large-Scale Semantically Rich Captions
by: Sun, Licai, et al.
Published: (2025)
by: Sun, Licai, et al.
Published: (2025)
OV-InstructTTS: Towards Open-Vocabulary Instruct Text-to-Speech
by: Ren, Yong, et al.
Published: (2026)
by: Ren, Yong, et al.
Published: (2026)
EmoFake: An Initial Dataset for Emotion Fake Audio Detection
by: Zhao, Yan, et al.
Published: (2022)
by: Zhao, Yan, et al.
Published: (2022)
MER 2025: When Affective Computing Meets Large Language Models
by: Lian, Zheng, et al.
Published: (2025)
by: Lian, Zheng, et al.
Published: (2025)
Do Multimodal Language Models Really Understand Direction? A Benchmark for Compass Direction Reasoning
by: Yin, Hang, et al.
Published: (2024)
by: Yin, Hang, et al.
Published: (2024)
ALLM4ADD: Unlocking the Capabilities of Audio Large Language Models for Audio Deepfake Detection
by: Gu, Hao, et al.
Published: (2025)
by: Gu, Hao, et al.
Published: (2025)
Towards Robust Audio Deepfake Detection: A Evolving Benchmark for Continual Learning
by: Zhang, Xiaohui, et al.
Published: (2024)
by: Zhang, Xiaohui, et al.
Published: (2024)
EyecareGPT: Boosting Comprehensive Ophthalmology Understanding with Tailored Dataset, Benchmark and Model
by: Li, Sijing, et al.
Published: (2025)
by: Li, Sijing, et al.
Published: (2025)
EmoMM: Benchmarking and Steering MLLM for Multimodal Emotion Recognition under Conflict and Missingness
by: Sun, Yueru, et al.
Published: (2026)
by: Sun, Yueru, et al.
Published: (2026)
Feature-Based Dual Visual Feature Extraction Model for Compound Multimodal Emotion Recognition
by: Liu, Ran, et al.
Published: (2025)
by: Liu, Ran, et al.
Published: (2025)
Similar Items
-
AffectGPT: Dataset and Framework for Explainable Multimodal Emotion Recognition
by: Lian, Zheng, et al.
Published: (2024) -
AffectGPT-RL: Revealing Roles of Reinforcement Learning in Open-Vocabulary Emotion Recognition
by: Lian, Zheng, et al.
Published: (2026) -
AffectGPT-R1: Leveraging Reinforcement Learning for Open-Vocabulary Multimodal Emotion Recognition
by: Lian, Zheng, et al.
Published: (2025) -
MERBench: A Unified Evaluation Benchmark for Multimodal Emotion Recognition
by: Lian, Zheng, et al.
Published: (2024) -
EmoPrefer: Can Large Language Models Understand Human Emotion Preferences?
by: Lian, Zheng, et al.
Published: (2025)