Imagen de Portada

GPT4Video: A Unified Multimodal Large Language Model for lnstruction-Followed Understanding and Safety-Aware Generation

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Wang, Zhanyu, Wang, Longyue, Zhao, Zhen, Wu, Minghao, Lyu, Chenyang, Li, Huayang, Cai, Deng, Zhou, Luping, Shi, Shuming, Tu, Zhaopeng
Formato:	Preprint
Publicado:	2023
Materias:	Computer Vision and Pattern Recognition
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

A Systematic Evaluation of GPT-4V's Multimodal Capability for Medical Image Analysis
por: Li, Yingshu, et al.
Publicado: (2023)

TextBind: Multi-turn Interleaved Multimodal Instruction-following in the Wild
por: Li, Huayang, et al.
Publicado: (2023)

MedXChat: A Unified Multimodal Large Language Model Framework towards CXRs Understanding and Generation
por: Yang, Ling, et al.
Publicado: (2023)

Retrieval-augmented Multi-modal Chain-of-Thoughts Reasoning for Large Language Models
por: Liu, Bingshuai, et al.
Publicado: (2023)

Salute the Classic: Revisiting Challenges of Machine Translation in the Age of Large Language Models
por: Pang, Jianhui, et al.
Publicado: (2024)

Inferflow: an Efficient and Highly Configurable Inference Engine for Large Language Models
por: Shi, Shuming, et al.
Publicado: (2024)

GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via Cipher
por: Yuan, Youliang, et al.
Publicado: (2023)

New Trends for Modern Machine Translation with Large Reasoning Models
por: Liu, Sinuo, et al.
Publicado: (2025)

Benchmarking LLMs via Uncertainty Quantification
por: Ye, Fanghua, et al.
Publicado: (2024)

Can't See the Forest for the Trees: Benchmarking Multimodal Safety Awareness for Multimodal LLMs
por: Wang, Wenxuan, et al.
Publicado: (2025)

On the Information Redundancy in Non-Autoregressive Translation
por: Wang, Zhihao, et al.
Publicado: (2024)

A Frustratingly Simple Decoding Method for Neural Text Generation
por: Yang, Haoran, et al.
Publicado: (2023)

Understanding and Mitigating the Uncertainty in Zero-Shot Translation
por: Wang, Wenxuan, et al.
Publicado: (2022)

Speech-XL: Towards Long-Form Speech Understanding in Large Speech Language Models
por: Sun, Haoqin, et al.
Publicado: (2026)

A Comprehensive Evaluation of GPT-4V on Knowledge-Intensive Visual Question Answering
por: Li, Yunxin, et al.
Publicado: (2023)

Anim-Director: A Large Multimodal Model Powered Agent for Controllable Animation Video Generation
por: Li, Yunxin, et al.
Publicado: (2024)

RS-GPT4V: A Unified Multimodal Instruction-Following Dataset for Remote Sensing Image Understanding
por: Xu, Linrui, et al.
Publicado: (2024)

All Languages Matter: On the Multilingual Safety of Large Language Models
por: Wang, Wenxuan, et al.
Publicado: (2023)

Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debate
por: Liang, Tian, et al.
Publicado: (2023)

Towards Lightweight, Adaptive and Attribute-Aware Multi-Aspect Controllable Text Generation with Large Language Models
por: Zhu, Chenyu, et al.
Publicado: (2025)

Alternate Diverse Teaching for Semi-supervised Medical Image Segmentation
por: Zhao, Zhen, et al.
Publicado: (2023)

VideoVista: A Versatile Benchmark for Video Understanding and Reasoning
por: Li, Yunxin, et al.
Publicado: (2024)

Findings of the WMT 2024 Shared Task on Discourse-Level Literary Translation
por: Wang, Longyue, et al.
Publicado: (2024)

Improving Machine Translation with Human Feedback: An Exploration of Quality Estimation as a Reward Model
por: He, Zhiwei, et al.
Publicado: (2024)

Modeling and Simulation Analysis of Intelligent Vehicle Operating Safety State on Icy and Snowy Roads Based on Car‐Following Theory
por: Xuejing Du, et al.
Publicado: (2026)

Marco-Bench-MIF: On Multilingual Instruction-Following Capability of Large Language Models
por: Zeng, Bo, et al.
Publicado: (2025)

Beyond Probabilities: Unveiling the Misalignment in Evaluating Large Language Models
por: Lyu, Chenyang, et al.
Publicado: (2024)

KARGEN: Knowledge-enhanced Automated Radiology Report Generation Using Large Language Models
por: Li, Yingshu, et al.
Publicado: (2024)

Large Language Models as Code Executors: An Exploratory Study
por: Lyu, Chenyang, et al.
Publicado: (2024)

ArchGPT: Understanding the World's Architectures with Large Multimodal Models
por: Wang, Yuze, et al.
Publicado: (2025)

HAVEN: Hierarchically Aligned Multimodal Benchmark for Unified Video Understanding
por: Shi, Mengqi, et al.
Publicado: (2026)

A Paradigm Shift: The Future of Machine Translation Lies with Large Language Models
por: Lyu, Chenyang, et al.
Publicado: (2023)

UniBrain: A Unified Model for Cross-Subject Brain Decoding
por: Wang, Zicheng, et al.
Publicado: (2024)

VisionGraph: Leveraging Large Multimodal Models for Graph Theory Problems in Visual Context
por: Li, Yunxin, et al.
Publicado: (2024)

The Bitter Lesson Learned from 2,000+ Multilingual Benchmarks
por: Wu, Minghao, et al.
Publicado: (2025)

UniEditBench: A Unified and Cost-Effective Benchmark for Image and Video Editing via Distilled MLLMs
por: Jiang, Lifan, et al.
Publicado: (2026)

Reversing the Flow: Generation-to-Understanding Synergy in Large Multimodal Models
por: Tong, Yujun, et al.
Publicado: (2026)

SurgLLM: A Versatile Large Multimodal Model with Spatial Focus and Temporal Awareness for Surgical Video Understanding
por: Chen, Zhen, et al.
Publicado: (2025)

Unsafe by Reciprocity: How Generation-Understanding Coupling Undermines Safety in Unified Multimodal Models
por: Wang, Kaishen, et al.
Publicado: (2026)

Can Multimodal LLMs do Visual Temporal Understanding and Reasoning? The answer is No!
por: Imam, Mohamed Fazli, et al.
Publicado: (2025)