2025.01.23 | DeepSeek-R1强化学习提升推理能力,多智能体框架实现虚拟电影自动化

2025.01.23 | DeepSeek-R1强化学习提升推理能力,多智能体框架实现虚拟电影自动化

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本期的 9 篇论文如下:

00:24 🧠 DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning(DeepSeek-R1:通过强化学习激励大语言模型的推理能力)

01:07 🎬 FilmAgent: A Multi-Agent Framework for End-to-End Film Automation in Virtual 3D Spaces(FilmAgent:虚拟3D空间中的端到端电影自动化多智能体框架)

01:48 🔄 Test-Time Preference Optimization: On-the-Fly Alignment via Iterative Textual Feedback(测试时偏好优化:通过迭代文本反馈实现即时对齐)

02:25 👁 VideoLLaMA 3: Frontier Multimodal Foundation Models for Image and Video Understanding(VideoLLaMA 3:面向图像与视频理解的前沿多模态基础模型)

03:03 🚀 Kimi k1.5: Scaling Reinforcement Learning with LLMs(Kimi k1.5:利用大语言模型扩展强化学习)

03:40 🧠 Autonomy-of-Experts Models(专家自主模型)

04:18 🏆 Pairwise RM: Perform Best-of-N Sampling with Knockout Tournament(成对奖励模型:通过淘汰赛进行最佳N采样)

05:01 ✂ O1-Pruner: Length-Harmonizing Fine-Tuning for O1-Like Reasoning Pruning(O1-Pruner:基于长度协调的微调用于O1类推理剪枝)

05:34 🤖 IntellAgent: A Multi-Agent Framework for Evaluating Conversational AI Systems(IntellAgent:用于评估对话AI系统的多智能体框架)

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