MOSABench: Multi-Object Sentiment Analysis Benchmark for Evaluating Multimodal Large Language Models Understanding of Complex Image
Fuente:
arXiv
Saved in:
| Main Authors: | Song, Shezheng, He, Chengxiang, Zhao, Shan, Wang, Chengyu, Wan, Qian, Yan, Tianwei, Wang, Meng |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Exploring Large Language Models for Multimodal Sentiment Analysis: Challenges, Benchmarks, and Future Directions
by: Song, Shezheng
Published: (2024)
by: Song, Shezheng
Published: (2024)
PTA: Enhancing Multimodal Sentiment Analysis through Pipelined Prediction and Translation-based Alignment
by: Song, Shezheng, et al.
Published: (2024)
by: Song, Shezheng, et al.
Published: (2024)
A Dual-way Enhanced Framework from Text Matching Point of View for Multimodal Entity Linking
by: Song, Shezheng, et al.
Published: (2023)
by: Song, Shezheng, et al.
Published: (2023)
DWE+: Dual-Way Matching Enhanced Framework for Multimodal Entity Linking
by: Song, Shezheng, et al.
Published: (2024)
by: Song, Shezheng, et al.
Published: (2024)
Explainable Multimodal Aspect-Based Sentiment Analysis with Dependency-guided Large Language Model
by: Wang, Zhongzheng, et al.
Published: (2026)
by: Wang, Zhongzheng, et al.
Published: (2026)
Where Does Vision Meet Language? Understanding and Refining Visual Fusion in MLLMs via Contrastive Attention
by: Song, Shezheng, et al.
Published: (2026)
by: Song, Shezheng, et al.
Published: (2026)
How to Bridge the Gap between Modalities: Survey on Multimodal Large Language Model
by: Song, Shezheng, et al.
Published: (2023)
by: Song, Shezheng, et al.
Published: (2023)
DIM: Dynamic Integration of Multimodal Entity Linking with Large Language Model
by: Song, Shezheng, et al.
Published: (2024)
by: Song, Shezheng, et al.
Published: (2024)
Learning Shared Sentiment Prototypes for Adaptive Multimodal Sentiment Analysis
by: Su, Chen, et al.
Published: (2026)
by: Su, Chen, et al.
Published: (2026)
EmoVerse: Exploring Multimodal Large Language Models for Sentiment and Emotion Understanding
by: Li, Ao, et al.
Published: (2024)
by: Li, Ao, et al.
Published: (2024)
Photon: Speedup Volume Understanding with Efficient Multimodal Large Language Models
by: Fang, Chengyu, et al.
Published: (2026)
by: Fang, Chengyu, et al.
Published: (2026)
Do Large Language Models Understand Logic or Just Mimick Context?
by: Yan, Junbing, et al.
Published: (2024)
by: Yan, Junbing, et al.
Published: (2024)
MMIU: Multimodal Multi-image Understanding for Evaluating Large Vision-Language Models
by: Meng, Fanqing, et al.
Published: (2024)
by: Meng, Fanqing, et al.
Published: (2024)
Cooperative Sentiment Agents for Multimodal Sentiment Analysis
by: Wang, Shanmin, et al.
Published: (2024)
by: Wang, Shanmin, et al.
Published: (2024)
Trustworthy Multimodal Fusion for Sentiment Analysis in Ordinal Sentiment Space
by: Xie, Zhuyang, et al.
Published: (2024)
by: Xie, Zhuyang, et al.
Published: (2024)
UniEdit: A Unified Knowledge Editing Benchmark for Large Language Models
by: Chen, Qizhou, et al.
Published: (2025)
by: Chen, Qizhou, et al.
Published: (2025)
SentiMM: A Multimodal Multi-Agent Framework for Sentiment Analysis in Social Media
by: Xu, Xilai, et al.
Published: (2025)
by: Xu, Xilai, et al.
Published: (2025)
A Comprehensive Evaluation of Large Language Models on Aspect-Based Sentiment Analysis
by: Zhou, Changzhi, et al.
Published: (2024)
by: Zhou, Changzhi, et al.
Published: (2024)
Beyond Emotion Recognition: A Multi-Turn Multimodal Emotion Understanding and Reasoning Benchmark
by: Hu, Jinpeng, et al.
Published: (2025)
by: Hu, Jinpeng, et al.
Published: (2025)
SHIELD : An Evaluation Benchmark for Face Spoofing and Forgery Detection with Multimodal Large Language Models
by: Shi, Yichen, et al.
Published: (2024)
by: Shi, Yichen, et al.
Published: (2024)
II-Bench: An Image Implication Understanding Benchmark for Multimodal Large Language Models
by: Liu, Ziqiang, et al.
Published: (2024)
by: Liu, Ziqiang, et al.
Published: (2024)
Progressive Representation Learning for Multimodal Sentiment Analysis with Incomplete Modalities
by: Bao, Jindi, et al.
Published: (2026)
by: Bao, Jindi, et al.
Published: (2026)
Missing-by-Design: Certifiable Modality Deletion for Revocable Multimodal Sentiment Analysis
by: Fu, Rong, et al.
Published: (2026)
by: Fu, Rong, et al.
Published: (2026)
SPORTU: A Comprehensive Sports Understanding Benchmark for Multimodal Large Language Models
by: Xia, Haotian, et al.
Published: (2024)
by: Xia, Haotian, et al.
Published: (2024)
BalanceBenchmark: A Survey for Multimodal Imbalance Learning
by: Xu, Shaoxuan, et al.
Published: (2025)
by: Xu, Shaoxuan, et al.
Published: (2025)
Tri-Subspaces Disentanglement for Multimodal Sentiment Analysis
by: Meng, Chunlei, et al.
Published: (2026)
by: Meng, Chunlei, et al.
Published: (2026)
DLF: Disentangled-Language-Focused Multimodal Sentiment Analysis
by: Wang, Pan, et al.
Published: (2024)
by: Wang, Pan, et al.
Published: (2024)
Understanding Student Sentiment on Mental Health Support in Colleges Using Large Language Models
by: Sood, Palak, et al.
Published: (2024)
by: Sood, Palak, et al.
Published: (2024)
OCTrack: Benchmarking the Open-Corpus Multi-Object Tracking
by: Qian, Zekun, et al.
Published: (2024)
by: Qian, Zekun, et al.
Published: (2024)
Large Language Models Enhanced by Plug and Play Syntactic Knowledge for Aspect-based Sentiment Analysis
by: Tian, Yuanhe, et al.
Published: (2025)
by: Tian, Yuanhe, et al.
Published: (2025)
MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models
by: Fu, Chaoyou, et al.
Published: (2023)
by: Fu, Chaoyou, et al.
Published: (2023)
Correlation-Decoupled Knowledge Distillation for Multimodal Sentiment Analysis with Incomplete Modalities
by: Li, Mingcheng, et al.
Published: (2024)
by: Li, Mingcheng, et al.
Published: (2024)
PanoSent: A Panoptic Sextuple Extraction Benchmark for Multimodal Conversational Aspect-based Sentiment Analysis
by: Luo, Meng, et al.
Published: (2024)
by: Luo, Meng, et al.
Published: (2024)
MMESGBench: Pioneering Multimodal Understanding and Complex Reasoning Benchmark for ESG Tasks
by: Zhang, Lei, et al.
Published: (2025)
by: Zhang, Lei, et al.
Published: (2025)
ENC-Bench: A Benchmark for Evaluating Multimodal Large Language Models in Electronic Navigational Chart Understanding
by: Cheng, Ao, et al.
Published: (2026)
by: Cheng, Ao, et al.
Published: (2026)
Large Language Models Meet Text-Centric Multimodal Sentiment Analysis: A Survey
by: Yang, Hao, et al.
Published: (2024)
by: Yang, Hao, et al.
Published: (2024)
MAC: A Live Benchmark for Multimodal Large Language Models in Scientific Understanding
by: Jiang, Mohan, et al.
Published: (2025)
by: Jiang, Mohan, et al.
Published: (2025)
Identifying Knowledge Editing Types in Large Language Models
by: Li, Xiaopeng, et al.
Published: (2024)
by: Li, Xiaopeng, et al.
Published: (2024)
Unveiling the Mist over 3D Vision-Language Understanding: Object-centric Evaluation with Chain-of-Analysis
by: Huang, Jiangyong, et al.
Published: (2025)
by: Huang, Jiangyong, et al.
Published: (2025)
DocLayLLM: An Efficient Multi-modal Extension of Large Language Models for Text-rich Document Understanding
by: Liao, Wenhui, et al.
Published: (2024)
by: Liao, Wenhui, et al.
Published: (2024)
Similar Items
-
Exploring Large Language Models for Multimodal Sentiment Analysis: Challenges, Benchmarks, and Future Directions
by: Song, Shezheng
Published: (2024) -
PTA: Enhancing Multimodal Sentiment Analysis through Pipelined Prediction and Translation-based Alignment
by: Song, Shezheng, et al.
Published: (2024) -
A Dual-way Enhanced Framework from Text Matching Point of View for Multimodal Entity Linking
by: Song, Shezheng, et al.
Published: (2023) -
DWE+: Dual-Way Matching Enhanced Framework for Multimodal Entity Linking
by: Song, Shezheng, et al.
Published: (2024) -
Explainable Multimodal Aspect-Based Sentiment Analysis with Dependency-guided Large Language Model
by: Wang, Zhongzheng, et al.
Published: (2026)