Video-Holmes: Can MLLM Think Like Holmes for Complex Video Reasoning?
Fuente:
arXiv
Saved in:
| Main Authors: | Cheng, Junhao, Ge, Yuying, Wang, Teng, Ge, Yixiao, Liao, Jing, Shan, Ying |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
AnimeGamer: Infinite Anime Life Simulation with Next Game State Prediction
by: Cheng, Junhao, et al.
Published: (2025)
by: Cheng, Junhao, et al.
Published: (2025)
Divot: Diffusion Powers Video Tokenizer for Comprehension and Generation
by: Ge, Yuying, et al.
Published: (2024)
by: Ge, Yuying, et al.
Published: (2024)
ARC-Chapter: Structuring Hour-Long Videos into Navigable Chapters and Hierarchical Summaries
by: Pu, Junfu, et al.
Published: (2025)
by: Pu, Junfu, et al.
Published: (2025)
DiCoDe: Diffusion-Compressed Deep Tokens for Autoregressive Video Generation with Language Models
by: Li, Yizhuo, et al.
Published: (2024)
by: Li, Yizhuo, et al.
Published: (2024)
TimeLens: Rethinking Video Temporal Grounding with Multimodal LLMs
by: Zhang, Jun, et al.
Published: (2025)
by: Zhang, Jun, et al.
Published: (2025)
AnimeShooter: A Multi-Shot Animation Dataset for Reference-Guided Video Generation
by: Qiu, Lu, et al.
Published: (2025)
by: Qiu, Lu, et al.
Published: (2025)
GRPO-CARE: Consistency-Aware Reinforcement Learning for Multimodal Reasoning
by: Chen, Yi, et al.
Published: (2025)
by: Chen, Yi, et al.
Published: (2025)
GenHancer: Imperfect Generative Models are Secretly Strong Vision-Centric Enhancers
by: Ma, Shijie, et al.
Published: (2025)
by: Ma, Shijie, et al.
Published: (2025)
BT-Adapter: Video Conversation is Feasible Without Video Instruction Tuning
by: Liu, Ruyang, et al.
Published: (2023)
by: Liu, Ruyang, et al.
Published: (2023)
SEED-Data-Edit Technical Report: A Hybrid Dataset for Instructional Image Editing
by: Ge, Yuying, et al.
Published: (2024)
by: Ge, Yuying, et al.
Published: (2024)
Exploring the Effect of Reinforcement Learning on Video Understanding: Insights from SEED-Bench-R1
by: Chen, Yi, et al.
Published: (2025)
by: Chen, Yi, et al.
Published: (2025)
Aligning Latent Spaces with Flow Priors
by: Li, Yizhuo, et al.
Published: (2025)
by: Li, Yizhuo, et al.
Published: (2025)
AudioStory: Generating Long-Form Narrative Audio with Large Language Models
by: Guo, Yuxin, et al.
Published: (2025)
by: Guo, Yuxin, et al.
Published: (2025)
SEED-Bench-2-Plus: Benchmarking Multimodal Large Language Models with Text-Rich Visual Comprehension
by: Li, Bohao, et al.
Published: (2024)
by: Li, Bohao, et al.
Published: (2024)
Holmes-VAU: Towards Long-term Video Anomaly Understanding at Any Granularity
by: Zhang, Huaxin, et al.
Published: (2024)
by: Zhang, Huaxin, et al.
Published: (2024)
ARC-Hunyuan-Video-7B: Structured Video Comprehension of Real-World Shorts
by: Ge, Yuying, et al.
Published: (2025)
by: Ge, Yuying, et al.
Published: (2025)
SEED-Story: Multimodal Long Story Generation with Large Language Model
by: Yang, Shuai, et al.
Published: (2024)
by: Yang, Shuai, et al.
Published: (2024)
Moto: Latent Motion Token as the Bridging Language for Learning Robot Manipulation from Videos
by: Chen, Yi, et al.
Published: (2024)
by: Chen, Yi, et al.
Published: (2024)
EgoPlan-Bench2: A Benchmark for Multimodal Large Language Model Planning in Real-World Scenarios
by: Qiu, Lu, et al.
Published: (2024)
by: Qiu, Lu, et al.
Published: (2024)
Supervised Fine-tuning in turn Improves Visual Foundation Models
by: Jiang, Xiaohu, et al.
Published: (2024)
by: Jiang, Xiaohu, et al.
Published: (2024)
Holmes-VAD: Towards Unbiased and Explainable Video Anomaly Detection via Multi-modal LLM
by: Zhang, Huaxin, et al.
Published: (2024)
by: Zhang, Huaxin, et al.
Published: (2024)
Video-as-Answer: Predict and Generate Next Video Event with Joint-GRPO
by: Cheng, Junhao, et al.
Published: (2025)
by: Cheng, Junhao, et al.
Published: (2025)
TokLIP: Marry Visual Tokens to CLIP for Multimodal Comprehension and Generation
by: Lin, Haokun, et al.
Published: (2025)
by: Lin, Haokun, et al.
Published: (2025)
Video-Thinker: Sparking "Thinking with Videos" via Reinforcement Learning
by: Wang, Shijian, et al.
Published: (2025)
by: Wang, Shijian, et al.
Published: (2025)
Reinforcing Video Reasoning with Focused Thinking
by: Dang, Jisheng, et al.
Published: (2025)
by: Dang, Jisheng, et al.
Published: (2025)
TiViBench: Benchmarking Think-in-Video Reasoning for Video Generative Models
by: Chen, Harold Haodong, et al.
Published: (2025)
by: Chen, Harold Haodong, et al.
Published: (2025)
HaploOmni: Unified Single Transformer for Multimodal Video Understanding and Generation
by: Xiao, Yicheng, et al.
Published: (2025)
by: Xiao, Yicheng, et al.
Published: (2025)
SEED-X: Multimodal Models with Unified Multi-granularity Comprehension and Generation
by: Ge, Yuying, et al.
Published: (2024)
by: Ge, Yuying, et al.
Published: (2024)
Efficient Motion-Aware Video MLLM
by: Zhao, Zijia, et al.
Published: (2025)
by: Zhao, Zijia, et al.
Published: (2025)
VLMs are Good Teachers for Video Reasoning via Adaptive Test-Time Optimization
by: Cheng, Junhao, et al.
Published: (2026)
by: Cheng, Junhao, et al.
Published: (2026)
Video Streaming Thinking: VideoLLMs Can Watch and Think Simultaneously
by: Guan, Yiran, et al.
Published: (2026)
by: Guan, Yiran, et al.
Published: (2026)
VideoReasonBench: Can MLLMs Perform Vision-Centric Complex Video Reasoning?
by: Liu, Yuanxin, et al.
Published: (2025)
by: Liu, Yuanxin, et al.
Published: (2025)
ST-LLM: Large Language Models Are Effective Temporal Learners
by: Liu, Ruyang, et al.
Published: (2024)
by: Liu, Ruyang, et al.
Published: (2024)
YOLO-World: Real-Time Open-Vocabulary Object Detection
by: Cheng, Tianheng, et al.
Published: (2024)
by: Cheng, Tianheng, et al.
Published: (2024)
Video-MTR: Reinforced Multi-Turn Reasoning for Long Video Understanding
by: Xie, Yuan, et al.
Published: (2025)
by: Xie, Yuan, et al.
Published: (2025)
Think, then Score: Decoupled Reasoning and Scoring for Video Reward Modeling
by: Wang, Yuan, et al.
Published: (2026)
by: Wang, Yuan, et al.
Published: (2026)
EgoPlan-Bench: Benchmarking Multimodal Large Language Models for Human-Level Planning
by: Chen, Yi, et al.
Published: (2023)
by: Chen, Yi, et al.
Published: (2023)
Towards A Better Metric for Text-to-Video Generation
by: Wu, Jay Zhangjie, et al.
Published: (2024)
by: Wu, Jay Zhangjie, et al.
Published: (2024)
Meta-Adapter: An Online Few-shot Learner for Vision-Language Model
by: Cheng, Cheng, et al.
Published: (2023)
by: Cheng, Cheng, et al.
Published: (2023)
VideoChat-A1: Thinking with Long Videos by Chain-of-Shot Reasoning
by: Wang, Zikang, et al.
Published: (2025)
by: Wang, Zikang, et al.
Published: (2025)
Similar Items
-
AnimeGamer: Infinite Anime Life Simulation with Next Game State Prediction
by: Cheng, Junhao, et al.
Published: (2025) -
Divot: Diffusion Powers Video Tokenizer for Comprehension and Generation
by: Ge, Yuying, et al.
Published: (2024) -
ARC-Chapter: Structuring Hour-Long Videos into Navigable Chapters and Hierarchical Summaries
by: Pu, Junfu, et al.
Published: (2025) -
DiCoDe: Diffusion-Compressed Deep Tokens for Autoregressive Video Generation with Language Models
by: Li, Yizhuo, et al.
Published: (2024) -
TimeLens: Rethinking Video Temporal Grounding with Multimodal LLMs
by: Zhang, Jun, et al.
Published: (2025)