Image de couverture de livre

EgoPlan-Bench2: A Benchmark for Multimodal Large Language Model Planning in Real-World Scenarios

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Qiu, Lu, Chen, Yi, Ge, Yuying, Ge, Yixiao, Shan, Ying, Liu, Xihui
Format:	Preprint
Publié:	2024
Sujets:	Artificial Intelligence Computer Vision and Pattern Recognition
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

EgoPlan-Bench: Benchmarking Multimodal Large Language Models for Human-Level Planning
par: Chen, Yi, et autres
Publié: (2023)

SEED-Bench-2-Plus: Benchmarking Multimodal Large Language Models with Text-Rich Visual Comprehension
par: Li, Bohao, et autres
Publié: (2024)

Exploring the Effect of Reinforcement Learning on Video Understanding: Insights from SEED-Bench-R1
par: Chen, Yi, et autres
Publié: (2025)

AnimeShooter: A Multi-Shot Animation Dataset for Reference-Guided Video Generation
par: Qiu, Lu, et autres
Publié: (2025)

SEED-Story: Multimodal Long Story Generation with Large Language Model
par: Yang, Shuai, et autres
Publié: (2024)

GRPO-CARE: Consistency-Aware Reinforcement Learning for Multimodal Reasoning
par: Chen, Yi, et autres
Publié: (2025)

DiCoDe: Diffusion-Compressed Deep Tokens for Autoregressive Video Generation with Language Models
par: Li, Yizhuo, et autres
Publié: (2024)

DIAL: Decoupling Intent and Action via Latent World Modeling for End-to-End VLA
par: Chen, Yi, et autres
Publié: (2026)

Divot: Diffusion Powers Video Tokenizer for Comprehension and Generation
par: Ge, Yuying, et autres
Publié: (2024)

SEED-Data-Edit Technical Report: A Hybrid Dataset for Instructional Image Editing
par: Ge, Yuying, et autres
Publié: (2024)

EPD: Long-term Memory Extraction, Context-awared Planning and Multi-iteration Decision @ EgoPlan Challenge ICML 2024
par: Shi, Letian, et autres
Publié: (2024)

AudioStory: Generating Long-Form Narrative Audio with Large Language Models
par: Guo, Yuxin, et autres
Publié: (2025)

SEED-X: Multimodal Models with Unified Multi-granularity Comprehension and Generation
par: Ge, Yuying, et autres
Publié: (2024)

AnimeGamer: Infinite Anime Life Simulation with Next Game State Prediction
par: Cheng, Junhao, et autres
Publié: (2025)

Moto: Latent Motion Token as the Bridging Language for Learning Robot Manipulation from Videos
par: Chen, Yi, et autres
Publié: (2024)

ST-LLM: Large Language Models Are Effective Temporal Learners
par: Liu, Ruyang, et autres
Publié: (2024)

GenHancer: Imperfect Generative Models are Secretly Strong Vision-Centric Enhancers
par: Ma, Shijie, et autres
Publié: (2025)

ARC-Chapter: Structuring Hour-Long Videos into Navigable Chapters and Hierarchical Summaries
par: Pu, Junfu, et autres
Publié: (2025)

Aligning Latent Spaces with Flow Priors
par: Li, Yizhuo, et autres
Publié: (2025)

Video-Holmes: Can MLLM Think Like Holmes for Complex Video Reasoning?
par: Cheng, Junhao, et autres
Publié: (2025)

Supervised Fine-tuning in turn Improves Visual Foundation Models
par: Jiang, Xiaohu, et autres
Publié: (2024)

YOLO-World: Real-Time Open-Vocabulary Object Detection
par: Cheng, Tianheng, et autres
Publié: (2024)

SAP-Bench: Benchmarking Multimodal Large Language Models in Surgical Action Planning
par: Xu, Mengya, et autres
Publié: (2025)

TimeLens: Rethinking Video Temporal Grounding with Multimodal LLMs
par: Zhang, Jun, et autres
Publié: (2025)

TokLIP: Marry Visual Tokens to CLIP for Multimodal Comprehension and Generation
par: Lin, Haokun, et autres
Publié: (2025)

ARC-Hunyuan-Video-7B: Structured Video Comprehension of Real-World Shorts
par: Ge, Yuying, et autres
Publié: (2025)

Plot2Code: A Comprehensive Benchmark for Evaluating Multi-modal Large Language Models in Code Generation from Scientific Plots
par: Wu, Chengyue, et autres
Publié: (2024)

VEBench:Benchmarking Large Multimodal Models for Real-World Video Editing
par: Deng, Andong, et autres
Publié: (2026)

Learning to Reason in 4D: Dynamic Spatial Understanding for Vision Language Models
par: Zhou, Shengchao, et autres
Publié: (2025)

BT-Adapter: Video Conversation is Feasible Without Video Instruction Tuning
par: Liu, Ruyang, et autres
Publié: (2023)

ProactiveBench: Benchmarking Proactiveness in Multimodal Large Language Models
par: De Min, Thomas, et autres
Publié: (2026)

ViT-Lens: Towards Omni-modal Representations
par: Lei, Weixian, et autres
Publié: (2023)

VP-Bench: A Comprehensive Benchmark for Visual Prompting in Multimodal Large Language Models
par: Xu, Mingjie, et autres
Publié: (2025)

Meta-Adapter: An Online Few-shot Learner for Vision-Language Model
par: Cheng, Cheng, et autres
Publié: (2023)

VoCo-LLaMA: Towards Vision Compression with Large Language Models
par: Ye, Xubing, et autres
Publié: (2024)

MM-UAVBench: How Well Do Multimodal Large Language Models See, Think, and Plan in Low-Altitude UAV Scenarios?
par: Dai, Shiqi, et autres
Publié: (2025)

V2PE: Improving Multimodal Long-Context Capability of Vision-Language Models with Variable Visual Position Encoding
par: Ge, Junqi, et autres
Publié: (2024)

ENC-Bench: A Benchmark for Evaluating Multimodal Large Language Models in Electronic Navigational Chart Understanding
par: Cheng, Ao, et autres
Publié: (2026)

UrBench: A Comprehensive Benchmark for Evaluating Large Multimodal Models in Multi-View Urban Scenarios
par: Zhou, Baichuan, et autres
Publié: (2024)

MathScape: Benchmarking Multimodal Large Language Models in Real-World Mathematical Contexts
par: Liang, Hao, et autres
Publié: (2024)