Author: insights

1. STAR: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolution 🔑 Keywords: Video Super-Resolution, Temporal Consistency, T2V Models, GAN, Artifacts 💡 […]

1. EnerVerse: Envisioning Embodied Future Space for Robotics Manipulation 🔑 Keywords: EnerVerse, robotic manipulation, Free Anchor View, 4D Gaussian Splatting, sim-to-real gap […]

1. 2.5 Years in Class: A Multimodal Textbook for Vision-Language Pretraining 🔑 Keywords: Vision-Language Models, Multimodal Textbook, Instructional Videos, Image-Text Alignment 💡 […]

1. OS-Genesis: Automating GUI Agent Trajectory Construction via Reverse Task Synthesis 🔑 Keywords: Vision-Language Models, GUI agents, OS-Genesis, GUI data synthesis 💡 […]

1. Explanatory Instructions: Towards Unified Vision Tasks Understanding and Zero-shot Generalization 🔑 Keywords: Computer Vision, zero-shot task generalization, Explanatory Instructions, vision-language model […]

1. HuatuoGPT-o1, Towards Medical Complex Reasoning with LLMs 🔑 Keywords: OpenAI o1, Reasoning, Medical Domain, Reinforcement Learning, HuatuoGPT-o1 💡 Category: AI in […]

1. Token-Budget-Aware LLM Reasoning 🔑 Keywords: LLMs, Chain-of-Thought, Reasoning, Token Budget, Efficiency 💡 Category: Natural Language Processing 🌟 Research Objective: – The […]

1. 3DGraphLLM: Combining Semantic Graphs and Large Language Models for 3D Scene Understanding 🔑 Keywords: 3D scene graph, Large Language Models, semantic […]

1. RobustFT: Robust Supervised Fine-tuning for Large Language Models under Noisy Response 🔑 Keywords: Supervised Fine-Tuning, Noise-Robust Framework, Large Language Models, RobustFT, […]

1. Parallelized Autoregressive Visual Generation 🔑 Keywords: Autoregressive models, Parallel generation, Visual generation, Inference speed 💡 Category: Generative Models 🌟 Research Objective: […]

1. Qwen2.5 Technical Report 🔑 Keywords: Qwen2.5, Large Language Models, Reinforcement Learning, Human Preference Alignment 💡 Category: Natural Language Processing 🌟 Research […]

1. No More Adam: Learning Rate Scaling at Initialization is All You Need 🔑 Keywords: Adaptive Gradient Methods, SGD-SaI, Transformer, ImageNet-1K, GPT-2 […]