Describe Anything: Detailed Localized Image and Video Captioning
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2504.16072
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Published
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61
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EmbodiedCity: A Benchmark Platform for Embodied Agent in Real-world City Environment
Paper • 2410.09604 • Published -
Geospatial Mechanistic Interpretability of Large Language Models
Paper • 2505.03368 • Published • 9 -
Scenethesis: A Language and Vision Agentic Framework for 3D Scene Generation
Paper • 2505.02836 • Published • 7 -
Constructing a 3D Town from a Single Image
Paper • 2505.15765 • Published • 23 -
SpatialScore: Towards Unified Evaluation for Multimodal Spatial Understanding
Paper • 2505.17012 • Published • 12 -
Multi-SpatialMLLM: Multi-Frame Spatial Understanding with Multi-Modal Large Language Models
Paper • 2505.17015 • Published • 9 -
Visual Embodied Brain: Let Multimodal Large Language Models See, Think, and Control in Spaces
Paper • 2506.00123 • Published • 34 -
Point-MoE: Towards Cross-Domain Generalization in 3D Semantic Segmentation via Mixture-of-Experts
Paper • 2505.23926 • Published • 6 -
TaskCraft: Automated Generation of Agentic Tasks
Paper • 2506.10055 • Published • 31 -
Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights
Paper • 2506.16406 • Published • 113 -
RLPR: Extrapolating RLVR to General Domains without Verifiers
Paper • 2506.18254 • Published • 31 -
Fine-Grained Preference Optimization Improves Spatial Reasoning in VLMs
Paper • 2506.21656 • Published • 12 -
Does Math Reasoning Improve General LLM Capabilities? Understanding Transferability of LLM Reasoning
Paper • 2507.00432 • Published • 46