Exploring Large Language Models for Multimodal Sentiment Analysis: Challenges, Benchmarks, and Future Directions
Fuente:
arXiv
Guardado en:
| Autor principal: | Song, Shezheng |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
MOSABench: Multi-Object Sentiment Analysis Benchmark for Evaluating Multimodal Large Language Models Understanding of Complex Image
por: Song, Shezheng, et al.
Publicado: (2024)
por: Song, Shezheng, et al.
Publicado: (2024)
DIM: Dynamic Integration of Multimodal Entity Linking with Large Language Model
por: Song, Shezheng, et al.
Publicado: (2024)
por: Song, Shezheng, et al.
Publicado: (2024)
PTA: Enhancing Multimodal Sentiment Analysis through Pipelined Prediction and Translation-based Alignment
por: Song, Shezheng, et al.
Publicado: (2024)
por: Song, Shezheng, et al.
Publicado: (2024)
Identifying Knowledge Editing Types in Large Language Models
por: Li, Xiaopeng, et al.
Publicado: (2024)
por: Li, Xiaopeng, et al.
Publicado: (2024)
How to Bridge the Gap between Modalities: Survey on Multimodal Large Language Model
por: Song, Shezheng, et al.
Publicado: (2023)
por: Song, Shezheng, et al.
Publicado: (2023)
Utilizing Large Language Models for Event Deconstruction to Enhance Multimodal Aspect-Based Sentiment Analysis
por: Huang, Xiaoyong, et al.
Publicado: (2024)
por: Huang, Xiaoyong, et al.
Publicado: (2024)
Large Language Models for Sentiment Analysis to Detect Social Challenges: A Use Case with South African Languages
por: Mabokela, Koena Ronny, et al.
Publicado: (2025)
por: Mabokela, Koena Ronny, et al.
Publicado: (2025)
Large Language Model Adaptation for Financial Sentiment Analysis
por: Inserte, Pau Rodriguez, et al.
Publicado: (2024)
por: Inserte, Pau Rodriguez, et al.
Publicado: (2024)
Evaluation of Large Language Models in Legal Applications: Challenges, Methods, and Future Directions
por: Hu, Yiran, et al.
Publicado: (2026)
por: Hu, Yiran, et al.
Publicado: (2026)
A Comprehensive Evaluation of Large Language Models on Aspect-Based Sentiment Analysis
por: Zhou, Changzhi, et al.
Publicado: (2024)
por: Zhou, Changzhi, et al.
Publicado: (2024)
Consistency in Language Models: Current Landscape, Challenges, and Future Directions
por: Novikova, Jekaterina, et al.
Publicado: (2025)
por: Novikova, Jekaterina, et al.
Publicado: (2025)
Pre-trained Large Language Models for Financial Sentiment Analysis
por: Luo, Wei, et al.
Publicado: (2024)
por: Luo, Wei, et al.
Publicado: (2024)
Bayesian Network Fusion of Large Language Models for Sentiment Analysis
por: Amirzadeh, Rasoul, et al.
Publicado: (2025)
por: Amirzadeh, Rasoul, et al.
Publicado: (2025)
A Survey on Uncertainty Quantification of Large Language Models: Taxonomy, Open Research Challenges, and Future Directions
por: Shorinwa, Ola, et al.
Publicado: (2024)
por: Shorinwa, Ola, et al.
Publicado: (2024)
A Unified Framework for Emotion Recognition and Sentiment Analysis via Expert-Guided Multimodal Fusion with Large Language Models
por: Qiao, Jiaqi, et al.
Publicado: (2026)
por: Qiao, Jiaqi, et al.
Publicado: (2026)
Reasoning or Overthinking: Evaluating Large Language Models on Financial Sentiment Analysis
por: Vamvourellis, Dimitris, et al.
Publicado: (2025)
por: Vamvourellis, Dimitris, et al.
Publicado: (2025)
Large Language Models for Oral History Understanding with Text Classification and Sentiment Analysis
por: Cherukuri, Komala Subramanyam, et al.
Publicado: (2025)
por: Cherukuri, Komala Subramanyam, et al.
Publicado: (2025)
Are Large Language Models Good In-context Learners for Financial Sentiment Analysis?
por: Wei, Xinyu, et al.
Publicado: (2025)
por: Wei, Xinyu, et al.
Publicado: (2025)
Large Language Models for Causal Discovery: Current Landscape and Future Directions
por: Wan, Guangya, et al.
Publicado: (2024)
por: Wan, Guangya, et al.
Publicado: (2024)
Exploring and Evaluating Multimodal Knowledge Reasoning Consistency of Multimodal Large Language Models
por: Jia, Boyu, et al.
Publicado: (2025)
por: Jia, Boyu, et al.
Publicado: (2025)
OFFSIDE: Benchmarking Unlearning Misinformation in Multimodal Large Language Models
por: Zheng, Hao, et al.
Publicado: (2025)
por: Zheng, Hao, et al.
Publicado: (2025)
Dynamic Adaptive Rank Space Exploration for Efficient Sentiment Analysis with Large Language Models
por: Ding, Hongcheng, et al.
Publicado: (2024)
por: Ding, Hongcheng, et al.
Publicado: (2024)
Dynamic Adaptive Optimization for Effective Sentiment Analysis Fine-Tuning on Large Language Models
por: Ding, Hongcheng, et al.
Publicado: (2024)
por: Ding, Hongcheng, et al.
Publicado: (2024)
Integration of Explainable AI Techniques with Large Language Models for Enhanced Interpretability for Sentiment Analysis
por: Thogesan, Thivya, et al.
Publicado: (2025)
por: Thogesan, Thivya, et al.
Publicado: (2025)
Do Large Language Models Possess Sensitive to Sentiment?
por: Liu, Yang, et al.
Publicado: (2024)
por: Liu, Yang, et al.
Publicado: (2024)
Can Large Language Models Help Multimodal Language Analysis? MMLA: A Comprehensive Benchmark
por: Zhang, Hanlei, et al.
Publicado: (2025)
por: Zhang, Hanlei, et al.
Publicado: (2025)
Unmasking Deceptive Visuals: Benchmarking Multimodal Large Language Models on Misleading Chart Question Answering
por: Chen, Zixin, et al.
Publicado: (2025)
por: Chen, Zixin, et al.
Publicado: (2025)
PanoSent: A Panoptic Sextuple Extraction Benchmark for Multimodal Conversational Aspect-based Sentiment Analysis
por: Luo, Meng, et al.
Publicado: (2024)
por: Luo, Meng, et al.
Publicado: (2024)
Evaluating and Improving Robustness in Large Language Models: A Survey and Future Directions
por: Zhang, Kun, et al.
Publicado: (2025)
por: Zhang, Kun, et al.
Publicado: (2025)
Exploring Multimodal Challenges in Toxic Chinese Detection: Taxonomy, Benchmark, and Findings
por: Yang, Shujian, et al.
Publicado: (2025)
por: Yang, Shujian, et al.
Publicado: (2025)
Peacock: A Family of Arabic Multimodal Large Language Models and Benchmarks
por: Alwajih, Fakhraddin, et al.
Publicado: (2024)
por: Alwajih, Fakhraddin, et al.
Publicado: (2024)
Multimodal Sentiment Analysis on CMU-MOSEI Dataset using Transformer-based Models
por: Gajjar, Jugal, et al.
Publicado: (2025)
por: Gajjar, Jugal, et al.
Publicado: (2025)
MEMO-Bench: A Multiple Benchmark for Text-to-Image and Multimodal Large Language Models on Human Emotion Analysis
por: Zhou, Yingjie, et al.
Publicado: (2024)
por: Zhou, Yingjie, et al.
Publicado: (2024)
DLF: Disentangled-Language-Focused Multimodal Sentiment Analysis
por: Wang, Pan, et al.
Publicado: (2024)
por: Wang, Pan, et al.
Publicado: (2024)
HausaMovieReview: A Benchmark Dataset for Sentiment Analysis in Low-Resource African Language
por: Zanga, Asiya Ibrahim, et al.
Publicado: (2025)
por: Zanga, Asiya Ibrahim, et al.
Publicado: (2025)
Mathematical Reasoning in Large Language Models: Benchmarks, Architectures, Evaluation, and Open Challenges
por: Amjad, Husnain, et al.
Publicado: (2026)
por: Amjad, Husnain, et al.
Publicado: (2026)
EmoBench-M: Benchmarking Emotional Intelligence for Multimodal Large Language Models
por: Hu, He, et al.
Publicado: (2025)
por: Hu, He, et al.
Publicado: (2025)
GODBench: A Benchmark for Multimodal Large Language Models in Video Comment Art
por: Lei, Yiming, et al.
Publicado: (2025)
por: Lei, Yiming, et al.
Publicado: (2025)
MAC: A Live Benchmark for Multimodal Large Language Models in Scientific Understanding
por: Jiang, Mohan, et al.
Publicado: (2025)
por: Jiang, Mohan, et al.
Publicado: (2025)
New Benchmark Dataset and Fine-Grained Cross-Modal Fusion Framework for Vietnamese Multimodal Aspect-Category Sentiment Analysis
por: Nguyen, Quy Hoang, et al.
Publicado: (2024)
por: Nguyen, Quy Hoang, et al.
Publicado: (2024)
Ejemplares similares
-
MOSABench: Multi-Object Sentiment Analysis Benchmark for Evaluating Multimodal Large Language Models Understanding of Complex Image
por: Song, Shezheng, et al.
Publicado: (2024) -
DIM: Dynamic Integration of Multimodal Entity Linking with Large Language Model
por: Song, Shezheng, et al.
Publicado: (2024) -
PTA: Enhancing Multimodal Sentiment Analysis through Pipelined Prediction and Translation-based Alignment
por: Song, Shezheng, et al.
Publicado: (2024) -
Identifying Knowledge Editing Types in Large Language Models
por: Li, Xiaopeng, et al.
Publicado: (2024) -
How to Bridge the Gap between Modalities: Survey on Multimodal Large Language Model
por: Song, Shezheng, et al.
Publicado: (2023)