A Very Big Video Reasoning Suite
Paper • 2602.20159 • Published • 526
Li
Xiangtai
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upvoted a paper 4 months ago
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papers 8 months ago
Are Video Models Ready as Zero-Shot Reasoners? An Empirical Study with the MME-CoF Benchmark
Paper • 2510.26802 • Published • 34
Kimi Linear: An Expressive, Efficient Attention Architecture
Paper • 2510.26692 • Published • 133
Emu3.5: Native Multimodal Models are World Learners
Paper • 2510.26583 • Published • 117
The Scalability of Simplicity: Empirical Analysis of Vision-Language Learning with a Single Transformer
Paper • 2504.10462 • Published • 16
MERIT: Multilingual Semantic Retrieval with Interleaved Multi-Condition Query
Paper • 2506.03144 • Published • 8
CyberV: Cybernetics for Test-time Scaling in Video Understanding
Paper • 2506.07971 • Published • 5
Open-o3 Video: Grounded Video Reasoning with Explicit Spatio-Temporal Evidence
Paper • 2510.20579 • Published • 56
Grasp Any Region: Towards Precise, Contextual Pixel Understanding for Multimodal LLMs
Paper • 2510.18876 • Published • 37
upvoted a paper 9 months ago
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papers 12 months ago
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papers about 1 year ago
Scaling Law for Quantization-Aware Training
Paper • 2505.14302 • Published • 79
Web-Shepherd: Advancing PRMs for Reinforcing Web Agents
Paper • 2505.15277 • Published • 105
MMaDA: Multimodal Large Diffusion Language Models
Paper • 2505.15809 • Published • 99
On Path to Multimodal Generalist: General-Level and General-Bench
Paper • 2505.04620 • Published • 83
Pixel-SAIL: Single Transformer For Pixel-Grounded Understanding
Paper • 2504.10465 • Published • 27
An Empirical Study of GPT-4o Image Generation Capabilities
Paper • 2504.05979 • Published • 64