Cover Image

Exploring the Role of Explicit Temporal Modeling in Multimodal Large Language Models for Video Understanding

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Li, Yun, Liu, Zhe, Kong, Yajing, Li, Guangrui, Zhang, Jiyuan, Bian, Chao, Liu, Feng, Yao, Lina, Sun, Zhenbang
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Evaluating and Advancing Multimodal Large Language Models in Perception Ability Lens
by: Chen, Feng, et al.
Published: (2024)

Effectively Enhancing Vision Language Large Models by Prompt Augmentation and Caption Utilization
by: Zhao, Minyi, et al.
Published: (2024)

VidHalluc: Evaluating Temporal Hallucinations in Multimodal Large Language Models for Video Understanding
by: Li, Chaoyu, et al.
Published: (2024)

Exploring Hallucination of Large Multimodal Models in Video Understanding: Benchmark, Analysis and Mitigation
by: Gao, Hongcheng, et al.
Published: (2025)

TEMPLE: Incentivizing Temporal Understanding of Video Large Language Models via Progressive Pre-SFT Alignment
by: Li, Shicheng, et al.
Published: (2025)

A Survey on Video Temporal Grounding with Multimodal Large Language Model
by: Wu, Jianlong, et al.
Published: (2025)

TemporalBench: Benchmarking Fine-grained Temporal Understanding for Multimodal Video Models
by: Cai, Mu, et al.
Published: (2024)

TimeChat: A Time-sensitive Multimodal Large Language Model for Long Video Understanding
by: Ren, Shuhuai, et al.
Published: (2023)

VITATECS: A Diagnostic Dataset for Temporal Concept Understanding of Video-Language Models
by: Li, Shicheng, et al.
Published: (2023)

Compositional Zero-Shot Learning with Contextualized Cues and Adaptive Contrastive Training
by: Li, Yun, et al.
Published: (2024)

Video Understanding with Large Language Models: A Survey
by: Tang, Yolo Y., et al.
Published: (2023)

AI Safety in Generative AI Large Language Models: A Survey
by: Chua, Jaymari, et al.
Published: (2024)

ChatVTG: Video Temporal Grounding via Chat with Video Dialogue Large Language Models
by: Qu, Mengxue, et al.
Published: (2024)

Understanding the Role of LLMs in Multimodal Evaluation Benchmarks
by: Jiang, Botian, et al.
Published: (2024)

EmoVerse: Exploring Multimodal Large Language Models for Sentiment and Emotion Understanding
by: Li, Ao, et al.
Published: (2024)

Explicit Inductive Inference using Large Language Models
by: Liu, Tianyang, et al.
Published: (2024)

SpaceVLLM: Endowing Multimodal Large Language Model with Spatio-Temporal Video Grounding Capability
by: Wang, Jiankang, et al.
Published: (2025)

Understanding Long Videos with Multimodal Language Models
by: Ranasinghe, Kanchana, et al.
Published: (2024)

Exploring the Role of Large Language Models in Prompt Encoding for Diffusion Models
by: Ma, Bingqi, et al.
Published: (2024)

Multimodal ArXiv: A Dataset for Improving Scientific Comprehension of Large Vision-Language Models
by: Li, Lei, et al.
Published: (2024)

LLaVA-ST: A Multimodal Large Language Model for Fine-Grained Spatial-Temporal Understanding
by: Li, Hongyu, et al.
Published: (2025)

LITE: Modeling Environmental Ecosystems with Multimodal Large Language Models
by: Li, Haoran, et al.
Published: (2024)

Efficient Temporal Extrapolation of Multimodal Large Language Models with Temporal Grounding Bridge
by: Wang, Yuxuan, et al.
Published: (2024)

Temporal Gains, Spatial Costs: Revisiting Video Fine-Tuning in Multimodal Large Language Models
by: Zhang, Linghao, et al.
Published: (2026)

VideoITG: Multimodal Video Understanding with Instructed Temporal Grounding
by: Wang, Shihao, et al.
Published: (2025)

II-Bench: An Image Implication Understanding Benchmark for Multimodal Large Language Models
by: Liu, Ziqiang, et al.
Published: (2024)

Vidi: Large Multimodal Models for Video Understanding and Editing
by: Vidi Team, et al.
Published: (2025)

A Comprehensive Survey of Large Language Models and Multimodal Large Language Models in Medicine
by: Xiao, Hanguang, et al.
Published: (2024)

EventGPT: Event Stream Understanding with Multimodal Large Language Models
by: Liu, Shaoyu, et al.
Published: (2024)

On the Consistency of Video Large Language Models in Temporal Comprehension
by: Jung, Minjoon, et al.
Published: (2024)

Context-based and Diversity-driven Specificity in Compositional Zero-Shot Learning
by: Li, Yun, et al.
Published: (2024)

Automatic Item Generation for Personality Situational Judgment Tests with Large Language Models
by: Li, Chang-Jin, et al.
Published: (2024)

Enhancing Semantic Consistency of Large Language Models through Model Editing: An Interpretability-Oriented Approach
by: Yang, Jingyuan, et al.
Published: (2025)

Speak While Watching: Unleashing TRUE Real-Time Video Understanding Capability of Multimodal Large Language Models
by: Lin, Junyan, et al.
Published: (2026)

EventSTU: Event-Guided Efficient Spatio-Temporal Understanding for Video Large Language Models
by: Xu, Wenhao, et al.
Published: (2025)

Aligning Translation-Specific Understanding to General Understanding in Large Language Models
by: Huang, Yichong, et al.
Published: (2024)

DanmakuTPPBench: A Multi-modal Benchmark for Temporal Point Process Modeling and Understanding
by: Jiang, Yue, et al.
Published: (2025)

VideoLoom: A Video Large Language Model for Joint Spatial-Temporal Understanding
by: Shi, Jiapeng, et al.
Published: (2026)

EventVL: Understand Event Streams via Multimodal Large Language Model
by: Li, Pengteng, et al.
Published: (2025)

MixRea: Benchmarking Explicit-Implicit Reasoning in Large Language Models
by: Cai, Yuanqing, et al.
Published: (2026)