Description
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 Open-Ended Solutions(Marco-o1:面向开放式解决方案的开放推理模型)
[02:40] 🧠 Hymba: A Hybrid-head Architecture for Small Language Models(Hymba:一种用于小语言模型的混合头架构)
[03:22] 🚀 Ultra-Sparse Memory Network(超稀疏内存网络)
[03:58] 📚 OpenScholar: Synthesizing Scientific Literature with Retrieval-augmented LMs(开放学者:利用检索增强型语言模型合成科学文献)
[04:47] 🧠 Natural Language Reinforcement Learning(自然语言强化学习)
[05:26] 🧠 Insight-V: Exploring Long-Chain Visual Reasoning with Multimodal Large Language Models(Insight-V:探索多模态大语言模型的长链视觉推理)
[06:08] 🤖 Do I Know This Entity? Knowledge Awareness and Hallucinations in Language Models(我了解这个实体吗?语言模型中的知识意识与幻觉)
[06:46] 🌊 Stable Flow: Vital Layers for Training-Free Image Editing(稳定流:无需训练的图像编辑关键层)
[07:25] 🌐 UnifiedCrawl: Aggregated Common Crawl for Affordable Adaptation of LLMs on Low-Resource Languages(统一爬取:利用Common Crawl为低资源语言的LLM提供经济适用的适应性)
[08:03] 🚗 MagicDriveDiT: High-Resolution Long Video Generation for Autonomous Driving with Adaptive Control(MagicDriveDiT:基于自适应控制的高分辨率长视频生成用于自动驾驶)
[08:44] 🧠 Patience Is The Key to Large Language Model Reasoning(耐心是大型语言模型推理的关键)
[09:18] 🌐 Baking Gaussian Splatting into Diffusion Denoiser for Fast and Scalable Single-stage Image-to-3D Generation(将高斯散射融入扩散去噪器以实现快速且可扩展的单阶段图像到3D生成)
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