【周末特辑】11月第3周最火AI论文 | Add-it提升图像插入性能，LLMs实现长上下文自我改进。
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本期的 5 篇论文如下：
[00:44] TOP1(🔥54) | 🖼 Add-it: Training-Free Object Insertion in Images With Pretrained Diffusion Models（Add-it：基于预训练扩散模型的图像无训练对象插入）
[02:31] TOP2(🔥44) | 🤖 Large Language Models Can Self-Improve in Long-context Reasoning（大型语言模型在长上下文推理中的自我改进）
[04:15] TOP3(🔥43) | 🌐 LLaMA-Mesh: Unifying 3D Mesh Generation with Language Models（LLaMA-Mesh：将3D网格生成与语言模型统一）
[06:12] TOP4(🔥42) | 🎨 OmniEdit: Building Image Editing Generalist Models Through Specialist Supervision（全能编辑器：通过专家监督构建图像编辑通用模型）
[08:01] TOP5(🔥42) | 📚 M-Longdoc: A Benchmark For Multimodal Super-Long Document Understanding And A Retrieval-Aware Tuning Framework（M-Longdoc：多模态超长文档理解和检索感知调优框架的基准）
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小红书: AI速递
More Episodes
本期的 5 篇论文如下：
[00:41] TOP1(🔥93) | 🧠 LLaVA-o1: Let Vision Language Models Reason Step-by-Step（LLaVA-o1：让视觉语言模型逐步推理）
[02:41] TOP2(🔥55) | 🌍 Generative World Explorer（生成世界探索者）
[05:00] TOP3(🔥44) | 🧠 Enhancing the Reasoning Ability of Multimodal Large Language Models via Mixed Preference...
Published 11/23/24
Published 11/23/24
本期的 14 篇论文如下：
[00:26] 🧠 Enhancing the Reasoning Ability of Multimodal Large Language Models via Mixed Preference Optimization（通过混合偏好优化提升多模态大语言模型的推理能力）
[01:12] 🌐 Multimodal Autoregressive Pre-training of Large Vision Encoders（大规模视觉编码器多模态自回归预训练）
[01:55] 🧠 Marco-o1: Towards Open Reasoning Models for...
Published 11/22/24
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