PathMMU: A Massive Multimodal Expert-Level Benchmark for Understanding and Reasoning in Pathology
Paper
• 2401.16355 • Published
• 3
Hao Wu
HarrisonWu
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PathMMU: A Massive Multimodal Expert-Level Benchmark for Understanding
and Reasoning in Pathology Organizations
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authored 6 papers 1 day ago
Speak While Watching: Unleashing TRUE Real-Time Video Understanding Capability of Multimodal Large Language Models
Paper
• 2601.06843 • Published
HiDrop: Hierarchical Vision Token Reduction in MLLMs via Late Injection, Concave Pyramid Pruning, and Early Exit
Paper
• 2602.23699 • Published
• 1
UTPTrack: Towards Simple and Unified Token Pruning for Visual Tracking
Paper
• 2602.23734 • Published
• 1
ViCA: Efficient Multimodal LLMs with Vision-Only Cross-Attention
Paper
• 2602.07574 • Published
• 1
Think-as-You-See: Streaming Chain-of-Thought Reasoning for Large Vision-Language Models
Paper
• 2603.02872 • Published
published 2 models 2 days ago
upvoted 4 papers 2 days ago
PathMMU: A Massive Multimodal Expert-Level Benchmark for Understanding and Reasoning in Pathology
Paper
• 2401.16355 • Published
• 3
ViCA: Efficient Multimodal LLMs with Vision-Only Cross-Attention
Paper
• 2602.07574 • Published
• 1
UTPTrack: Towards Simple and Unified Token Pruning for Visual Tracking
Paper
• 2602.23734 • Published
• 1
HiDrop: Hierarchical Vision Token Reduction in MLLMs via Late Injection, Concave Pyramid Pruning, and Early Exit
Paper
• 2602.23699 • Published
• 1
updated a model 5 days ago
published a model 5 days ago
liked 2 datasets over 1 year ago
upvoted a paper over 1 year ago