Stabilizing Reinforcement Learning with LLMs: Formulation and Practices
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• 2512.01374 • Published
• 105
Makhtum Ahmed
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Latent Zoning Network: A Unified Principle for Generative Modeling, Representation Learning, and Classification
Paper
• 2509.15591 • Published
• 45
MANZANO: A Simple and Scalable Unified Multimodal Model with a Hybrid Vision Tokenizer
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• 2509.16197 • Published
• 58
SEED-Bench-2-Plus: Benchmarking Multimodal Large Language Models with Text-Rich Visual Comprehension
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• 2404.16790 • Published
• 10
RynnVLA-001: Using Human Demonstrations to Improve Robot Manipulation
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• 2509.15212 • Published
• 22
FlowRL: Matching Reward Distributions for LLM Reasoning
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• 2509.15207 • Published
• 117
ScaleCUA: Scaling Open-Source Computer Use Agents with Cross-Platform Data
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• 2509.15221 • Published
• 111
WorldForge: Unlocking Emergent 3D/4D Generation in Video Diffusion Model via Training-Free Guidance
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• 2509.15130 • Published
• 30
LazyDrag: Enabling Stable Drag-Based Editing on Multi-Modal Diffusion Transformers via Explicit Correspondence
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• 2509.12203 • Published
• 20
VLA-Adapter: An Effective Paradigm for Tiny-Scale Vision-Language-Action Model
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• 2509.09372 • Published
• 248
RewardDance: Reward Scaling in Visual Generation
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• 2509.08826 • Published
• 73
Visual Representation Alignment for Multimodal Large Language Models
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• 2509.07979 • Published
• 84
F1: A Vision-Language-Action Model Bridging Understanding and Generation to Actions
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• 2509.06951 • Published
• 32