Cover Image

Insight-V: Exploring Long-Chain Visual Reasoning with Multimodal Large Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Dong, Yuhao, Liu, Zuyan, Sun, Hai-Long, Yang, Jingkang, Hu, Winston, Rao, Yongming, Liu, Ziwei
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Insight-V++: Towards Advanced Long-Chain Visual Reasoning with Multimodal Large Language Models
by: Dong, Yuhao, et al.
Published: (2026)

Chain-of-Spot: Interactive Reasoning Improves Large Vision-Language Models
by: Liu, Zuyan, et al.
Published: (2024)

Oryx MLLM: On-Demand Spatial-Temporal Understanding at Arbitrary Resolution
by: Liu, Zuyan, et al.
Published: (2024)

Ola: Pushing the Frontiers of Omni-Modal Language Model
by: Liu, Zuyan, et al.
Published: (2025)

GeoVista: Web-Augmented Agentic Visual Reasoning for Geolocalization
by: Wang, Yikun, et al.
Published: (2025)

WorldQA: Multimodal World Knowledge in Videos through Long-Chain Reasoning
by: Zhang, Yuanhan, et al.
Published: (2024)

SparseMM: Head Sparsity Emerges from Visual Concept Responses in MLLMs
by: Wang, Jiahui, et al.
Published: (2025)

Ego-R1: Chain-of-Tool-Thought for Ultra-Long Egocentric Video Reasoning
by: Tian, Shulin, et al.
Published: (2025)

Efficient Inference of Vision Instruction-Following Models with Elastic Cache
by: Liu, Zuyan, et al.
Published: (2024)

BREEN: Bridge Data-Efficient Encoder-Free Multimodal Learning with Learnable Queries
by: Li, Tianle, et al.
Published: (2025)

Coarse Correspondences Boost Spatial-Temporal Reasoning in Multimodal Language Model
by: Liu, Benlin, et al.
Published: (2024)

Towards Language-Driven Video Inpainting via Multimodal Large Language Models
by: Wu, Jianzong, et al.
Published: (2024)

FileGram: Grounding Agent Personalization in File-System Behavioral Traces
by: Liu, Shuai, et al.
Published: (2026)

Unsolvable Problem Detection: Robust Understanding Evaluation for Large Multimodal Models
by: Miyai, Atsuyuki, et al.
Published: (2024)

High-Resolution Visual Reasoning via Multi-Turn Grounding-Based Reinforcement Learning
by: Huang, Xinyu, et al.
Published: (2025)

Generalized Out-of-Distribution Detection: A Survey
by: Yang, Jingkang, et al.
Published: (2021)

LMMs-Eval: Reality Check on the Evaluation of Large Multimodal Models
by: Zhang, Kaichen, et al.
Published: (2024)

PerceptionComp: A Video Benchmark for Complex Perception-Centric Reasoning
by: Li, Shaoxuan, et al.
Published: (2026)

Long Context Transfer from Language to Vision
by: Zhang, Peiyuan, et al.
Published: (2024)

A Simple Baseline for Streaming Video Understanding
by: Shen, Yujiao, et al.
Published: (2026)

MM-IQ: Benchmarking Human-Like Abstraction and Reasoning in Multimodal Models
by: Cai, Huanqia, et al.
Published: (2025)

Multimodal Chain-of-Thought Reasoning: A Comprehensive Survey
by: Wang, Yaoting, et al.
Published: (2025)

Rethinking Visual Dependency in Long-Context Reasoning for Large Vision-Language Models
by: Zhou, Yucheng, et al.
Published: (2024)

ImgCoT: Compressing Long Chain of Thought into Compact Visual Tokens for Efficient Reasoning of Large Language Model
by: Chen, Xiaoshu, et al.
Published: (2026)

Octopus: Embodied Vision-Language Programmer from Environmental Feedback
by: Yang, Jingkang, et al.
Published: (2023)

Towards Video Thinking Test: A Holistic Benchmark for Advanced Video Reasoning and Understanding
by: Zhang, Yuanhan, et al.
Published: (2025)

Multimodal Chain-of-Thought Reasoning in Language Models
by: Zhang, Zhuosheng, et al.
Published: (2023)

Mitigating Visual Forgetting via Take-along Visual Conditioning for Multi-modal Long CoT Reasoning
by: Sun, Hai-Long, et al.
Published: (2025)

Reflection Anchors for Propagation-Aware Visual Retention in Long-Chain Multimodal Reasoning
by: Gong, Xuan, et al.
Published: (2026)

VisCRA: A Visual Chain Reasoning Attack for Jailbreaking Multimodal Large Language Models
by: Sima, Bingrui, et al.
Published: (2025)

The Role of Visual Modality in Multimodal Mathematical Reasoning: Challenges and Insights
by: Liu, Yufang, et al.
Published: (2025)

Harnessing Chain-of-Thought Reasoning in Multimodal Large Language Models for Face Anti-Spoofing
by: Zhang, Honglu, et al.
Published: (2025)

SPR-128K: A New Benchmark for Spatial Plausibility Reasoning with Multimodal Large Language Models
by: Hu, Zhiyuan, et al.
Published: (2025)

ChainV: Atomic Visual Hints Make Multimodal Reasoning Shorter and Better
by: Zhang, Yuan, et al.
Published: (2025)

MathCanvas: Intrinsic Visual Chain-of-Thought for Multimodal Mathematical Reasoning
by: Shi, Weikang, et al.
Published: (2025)

Visual-Noise Guided In-Context Distillation for Multimodal Large Language Model Unlearning
by: Chen, Junkai, et al.
Published: (2026)

Mario: Multimodal Graph Reasoning with Large Language Models
by: Sun, Yuanfu, et al.
Published: (2026)

AgriChain Visually Grounded Expert Verified Reasoning for Interpretable Agricultural Vision Language Models
by: Mahmood, Hazza, et al.
Published: (2026)

Exploring the Transferability of Visual Prompting for Multimodal Large Language Models
by: Zhang, Yichi, et al.
Published: (2024)

Attention-guided Fine-tuning of Multimodal Large Language Models Improves Chain-of-Thought Reasoning
by: Sinha, Sanchit, et al.
Published: (2026)