Cover Image

Can Video Large Multimodal Models Think Like Doubters-or Double-Down: A Study on Defeasible Video Entailment

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhang, Yue, Sun, Jilei, Guo, Yunhui, Gogate, Vibhav
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Defeasible Visual Entailment: Benchmark, Evaluator, and Reward-Driven Optimization
by: Zhang, Yue, et al.
Published: (2024)

A Skill-augmented Agentic Framework and Benchmark for Multi-Video Understanding
by: Zhang, Yue, et al.
Published: (2026)

Thinking with Video: Video Generation as a Promising Multimodal Reasoning Paradigm
by: Tong, Jingqi, et al.
Published: (2025)

Can Video LLMs Refuse to Answer? Alignment for Answerability in Video Large Language Models
by: Yoon, Eunseop, et al.
Published: (2025)

Can Large Vision-Language Models Understand Multimodal Sarcasm?
by: Wang, Xinyu, et al.
Published: (2025)

Exploring the Role of Explicit Temporal Modeling in Multimodal Large Language Models for Video Understanding
by: Li, Yun, et al.
Published: (2025)

Towards Spatio-Temporal World Scene Graph Generation from Monocular Videos
by: Peddi, Rohith, et al.
Published: (2026)

Video-Holmes: Can MLLM Think Like Holmes for Complex Video Reasoning?
by: Cheng, Junhao, et al.
Published: (2025)

Jailbreaking Multimodal Large Language Models using Multi-Clip Video
by: Kang, Choongwon, et al.
Published: (2026)

VideoExplorer: Think With Videos For Agentic Long-Video Understanding
by: Yuan, Huaying, et al.
Published: (2025)

TV-TREES: Multimodal Entailment Trees for Neuro-Symbolic Video Reasoning
by: Sanders, Kate, et al.
Published: (2024)

Think While Watching: Online Streaming Segment-Level Memory for Multi-Turn Video Reasoning in Multimodal Large Language Models
by: Wang, Lu, et al.
Published: (2026)

Weakly Supervised Gaussian Contrastive Grounding with Large Multimodal Models for Video Question Answering
by: Wang, Haibo, et al.
Published: (2024)

VidCoM: Fast Video Comprehension through Large Language Models with Multimodal Tools
by: Qi, Ji, et al.
Published: (2023)

From Perception to Reasoning: Deep Thinking Empowers Multimodal Large Language Models
by: Zhu, Wenxin, et al.
Published: (2025)

Perception, Reason, Think, and Plan: A Survey on Large Multimodal Reasoning Models
by: Li, Yunxin, et al.
Published: (2025)

Frame-Voyager: Learning to Query Frames for Video Large Language Models
by: Yu, Sicheng, et al.
Published: (2024)

Can Language Models Laugh at YouTube Short-form Videos?
by: Ko, Dayoon, et al.
Published: (2023)

Multimodal Abstractive Summarization of Instructional Videos with Vision-Language Models
by: Nazir, Maham, et al.
Published: (2026)

A Culturally-diverse Multilingual Multimodal Video Benchmark & Model
by: Shafique, Bhuiyan Sanjid, et al.
Published: (2025)

HieraVid: Hierarchical Token Pruning for Fast Video Large Language Models
by: Guo, Yansong, et al.
Published: (2026)

Advancing Egocentric Video Question Answering with Multimodal Large Language Models
by: Patel, Alkesh, et al.
Published: (2025)

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

VideoScore2: Think before You Score in Generative Video Evaluation
by: He, Xuan, et al.
Published: (2025)

Video Streaming Thinking: VideoLLMs Can Watch and Think Simultaneously
by: Guan, Yiran, et al.
Published: (2026)

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

Mavors: Multi-granularity Video Representation for Multimodal Large Language Model
by: Shi, Yang, et al.
Published: (2025)

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

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

KeyVideoLLM: Towards Large-scale Video Keyframe Selection
by: Liang, Hao, et al.
Published: (2024)

Thinking Like a Botanist: Challenging Multimodal Language Models with Intent-Driven Chain-of-Inquiry
by: Sakib, Syed Nazmus, et al.
Published: (2026)

Can Large Language Models Capture Video Game Engagement?
by: Melhart, David, et al.
Published: (2025)

Deep Dependency Networks and Advanced Inference Schemes for Multi-Label Classification
by: Arya, Shivvrat, et al.
Published: (2024)

From Long Videos to Engaging Clips: A Human-Inspired Video Editing Framework with Multimodal Narrative Understanding
by: Wang, Xiangfeng, et al.
Published: (2025)

Towards Unbiased and Robust Spatio-Temporal Scene Graph Generation and Anticipation
by: Peddi, Rohith, et al.
Published: (2024)

VideoAutoArena: An Automated Arena for Evaluating Large Multimodal Models in Video Analysis through User Simulation
by: Luo, Ziyang, et al.
Published: (2024)

A Large-Scale Analysis on Contextual Self-Supervised Video Representation Learning
by: Kumar, Akash, et al.
Published: (2025)

MultiClimate: Multimodal Stance Detection on Climate Change Videos
by: Wang, Jiawen, et al.
Published: (2024)

Video-MMMU: Evaluating Knowledge Acquisition from Multi-Discipline Professional Videos
by: Hu, Kairui, et al.
Published: (2025)

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model
by: Ma, Guoqing, et al.
Published: (2025)