2025.10.09 | Ming-UniVision统一视觉词表；KV-Cache直连让大模型秒聊

本期的 15 篇论文如下：

[00:21] 🔄 Ming-UniVision: Joint Image Understanding and Generation with a Unified Continuous Tokenizer（Ming-UniVision：用统一连续视觉词表打通图像理解与生成）

[00:59] 🧠 Cache-to-Cache: Direct Semantic Communication Between Large Language Models（缓存到缓存：大模型间的直接语义通信）

[01:32] 🌀 Lumina-DiMOO: An Omni Diffusion Large Language Model for Multi-Modal Generation and Understanding（Lumina-DiMOO：面向多模态生成与理解的离散扩散大模型）

[02:07] 🧠 SHANKS: Simultaneous Hearing and Thinking for Spoken Language Models（SHANKS：口语模型边听边想的同步推理框架）

[03:06] 🤖 RLinf-VLA: A Unified and Efficient Framework for VLA+RL Training（RLinf-VLA：面向VLA模型强化学习训练的统一高效框架）

[04:02] 🎬 MATRIX: Mask Track Alignment for Interaction-aware Video Generation（MATRIX：面向交互感知视频生成的掩码轨迹对齐）

[04:51] 🎯 Vibe Checker: Aligning Code Evaluation with Human Preference（Vibe Checker：让代码评估对齐人类偏好）

[05:44] 🤖 Multi-Agent Tool-Integrated Policy Optimization（多智能体工具集成策略优化）

[06:24] 🧠 CALM Before the STORM: Unlocking Native Reasoning for Optimization Modeling（风暴前夜：解锁优化建模原生推理潜能的轻量化矫正框架）

[06:59] ✂ OBS-Diff: Accurate Pruning For Diffusion Models in One-Shot（OBS-Diff：一次性精准剪枝扩散模型）

[07:52] 🧠 Artificial Hippocampus Networks for Efficient Long-Context Modeling（面向高效长上下文建模的人工海马网络）

[08:30] 🔍 Revisiting Long-context Modeling from Context Denoising Perspective（基于上下文降噪视角的长文本建模再审视）

[09:11] 🧠 Pushing on Multilingual Reasoning Models with Language-Mixed Chain-of-Thought（推动多语言推理模型：语言混合思维链新范式）

[09:51] 💥 Why Low-Precision Transformer Training Fails: An Analysis on Flash Attention（低精度Transformer训练为何失败：Flash Attention失效机理剖析）

[10:37] ⚡ Native Hybrid Attention for Efficient Sequence Modeling（原生混合注意力高效序列建模）

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