本期的 14 篇论文如下:
00:26 🎨 BlenderFusion: 3D-Grounded Visual Editing and Generative Compositing(BlenderFusion:基于3D的视觉编辑和生成式合成)
00:59 ✂ LLaVA-Scissor: Token Compression with Semantic Connected Components for Video LLMs(LLaVA-Scissor:基于语义连通分量的视频LLM令牌压缩)
01:42 🖼 XVerse: Consistent Multi-Subject Control of Identity and Semantic Attributes via DiT Modulation(XVerse:通过DiT调制实现对身份和语义属性的多主体一致性控制)
02:24 🎬 ShotBench: Expert-Level Cinematic Understanding in Vision-Language Models(ShotBench:视觉-语言模型中专家级电影理解)
03:05 🖼 From Ideal to Real: Unified and Data-Efficient Dense Prediction for Real-World Scenarios(从理想到现实:面向真实场景的统一且数据高效的密集预测)
03:44 🖼 MiCo: Multi-image Contrast for Reinforcement Visual Reasoning(MiCo:用于增强视觉推理的多图像对比学习)
04:24 🧮 Pangu Pro MoE: Mixture of Grouped Experts for Efficient Sparsity(Pangu Pro MoE:用于高效稀疏性的分组专家混合模型)
05:06 🗺 Fine-Grained Preference Optimization Improves Spatial Reasoning in VLMs(细粒度偏好优化提升视觉语言模型中的空间推理能力)
05:52 🤖 Ark: An Open-source Python-based Framework for Robot Learning(Ark:一个用于机器人学习的开源Python框架)
06:36 🎨 Noise Consistency Training: A Native Approach for One-Step Generator in Learning Additional Controls(噪声一致性训练:一种在学习额外控制时用于单步生成器的原生方法)
07:20 🏎 The Automated LLM Speedrunning Benchmark: Reproducing NanoGPT Improvements(自动化LLM竞速基准:复现NanoGPT的改进)
08:01 🧠 Gazal-R1: Achieving State-of-the-Art Medical Reasoning with Parameter-Efficient Two-Stage Training(Gazal-R1:通过参数高效的两阶段训练实现最先进的医学推理)
08:45 🧮 Confucius3-Math: A Lightweight High-Performance Reasoning LLM for Chinese K-12 Mathematics Learning(Confucius3-Math:一个用于中国K-12数学学习的轻量级高性能推理大语言模型)
09:39 👁 RetFiner: A Vision-Language Refinement Scheme for Retinal Foundation Models(RetFiner:用于视网膜基础模型的视觉-语言精炼方案)

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