LoopVL: Recurrent Visual Intelligence
cs.CV, cs.CL
Submitted: 2026-09-29
Updated: 2026-09-29
Terminology
Sources
- LLaVA-OneVision-1.5: Fully Open Framework for Democratized Multimodal Training
- LLaVA-OneVision-2: Towards Next-Generation Perceptual Intelligence
- Eliciting Latent Predictions from Transformers with the Tuned Lens
- A Mechanistic Analysis of Looped Reasoning Language Models
- An Image is Worth 1/2 Tokens After Layer 2: Plug-and-Play Inference Acceleration for Large Vision-Language Models
- Hierarchical Reasoning Models: Perspectives and Misconceptions
- Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach
- Adaptive Computation Time for Recurrent Neural Networks
- Vision-R1: Incentivizing Reasoning Capability in Multimodal Large Language Models
- Less is More: Recursive Reasoning with Tiny Networks
- Scaling Laws for Neural Language Models
- Visual Instruction Tuning
- Improved Baselines with Visual Instruction Tuning
- Tiny Recursive Models on ARC-AGI-1: Inductive Biases, Identity Conditioning, and Test-Time Compute
- How Much Is One Recurrence Worth? Iso-Depth Scaling Laws for Looped Language Models
- LoopViT: Scaling Visual ARC with Looped Transformers
- Hierarchical Reasoning Model
- HRM-Text: Efficient Pretraining Beyond Scaling
- Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution
- LLaVA-UHD: an LMM Perceiving Any Aspect Ratio and High-Resolution Images
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