diff --git a/cache/seen_urls.json b/cache/seen_urls.json index 00f78c3..e6b3646 100644 --- a/cache/seen_urls.json +++ b/cache/seen_urls.json @@ -1,5 +1,5 @@ { - "lastUpdate": "2026-03-04T15:01:07.708Z", + "lastUpdate": "2026-03-05T15:01:12.455Z", "urls": [ "http://arxiv.org/abs/2602.23360v1", "http://arxiv.org/abs/2602.23359v1", @@ -386,6 +386,95 @@ "https://github.com/sponsors/fujiwarachoki", "https://github.com/login?return_to=%2fitzcrazykns%2fperplexica", "https://github.com/login?return_to=%2fnautechsystems%2fnautilus_trader", - "https://github.com/sponsors/flowiseai" + "https://github.com/sponsors/flowiseai", + "http://arxiv.org/abs/2603.04390v1", + "http://arxiv.org/abs/2603.04385v1", + "http://arxiv.org/abs/2603.04378v1", + "http://arxiv.org/abs/2603.04370v1", + "http://arxiv.org/abs/2603.04366v1", + "http://arxiv.org/abs/2603.04364v1", + "http://arxiv.org/abs/2603.04359v1", + "http://arxiv.org/abs/2603.04356v1", + "http://arxiv.org/abs/2603.04355v1", + "http://arxiv.org/abs/2603.04348v1", + "http://arxiv.org/abs/2603.04334v1", + "http://arxiv.org/abs/2603.04333v1", + "http://arxiv.org/abs/2603.04321v1", + "http://arxiv.org/abs/2603.04317v1", + "http://arxiv.org/abs/2603.04314v1", + "http://arxiv.org/abs/2603.04309v1", + "http://arxiv.org/abs/2603.04308v1", + "http://arxiv.org/abs/2603.04293v1", + "http://arxiv.org/abs/2603.04291v1", + "http://arxiv.org/abs/2603.04289v1", + "http://arxiv.org/abs/2603.04277v1", + "http://arxiv.org/abs/2603.04276v1", + "http://arxiv.org/abs/2603.04259v1", + "http://arxiv.org/abs/2603.04247v1", + "http://arxiv.org/abs/2603.04245v1", + "http://arxiv.org/abs/2603.04244v1", + "http://arxiv.org/abs/2603.04384v1", + "http://arxiv.org/abs/2603.04380v1", + "http://arxiv.org/abs/2603.04337v1", + "http://arxiv.org/abs/2603.04319v1", + "http://arxiv.org/abs/2603.04304v1", + "http://arxiv.org/abs/2603.04299v1", + "http://arxiv.org/abs/2603.04292v1", + "http://arxiv.org/abs/2603.04257v1", + "http://arxiv.org/abs/2603.04238v1", + "http://arxiv.org/abs/2603.04217v1", + "http://arxiv.org/abs/2603.04212v1", + "http://arxiv.org/abs/2603.04162v1", + "http://arxiv.org/abs/2603.04161v1", + "http://arxiv.org/abs/2603.04145v1", + "http://arxiv.org/abs/2603.04124v1", + "http://arxiv.org/abs/2603.04123v1", + "http://arxiv.org/abs/2603.04083v1", + "http://arxiv.org/abs/2603.04069v1", + "http://arxiv.org/abs/2603.04033v1", + "http://arxiv.org/abs/2603.03915v1", + "http://arxiv.org/abs/2603.04399v1", + "http://arxiv.org/abs/2603.04395v1", + "http://arxiv.org/abs/2603.04392v1", + "http://arxiv.org/abs/2603.04383v1", + "http://arxiv.org/abs/2603.04360v1", + "http://arxiv.org/abs/2603.04354v1", + "http://arxiv.org/abs/2603.04353v1", + "http://arxiv.org/abs/2603.04343v1", + "http://arxiv.org/abs/2603.04340v1", + "http://arxiv.org/abs/2603.04328v1", + "http://arxiv.org/abs/2603.04325v1", + "http://arxiv.org/abs/2603.04323v1", + "http://arxiv.org/abs/2603.04300v1", + "https://huggingface.co/papers/2603.01236", + "https://huggingface.co/papers/2603.02924", + "https://huggingface.co/papers/2603.03282", + "https://huggingface.co/papers/2603.03197", + "https://huggingface.co/papers/2603.04124", + "https://huggingface.co/papers/2603.03646", + "https://huggingface.co/papers/2603.01847", + "https://huggingface.co/papers/2603.04254", + "https://huggingface.co/papers/2603.03985", + "https://huggingface.co/papers/2603.02482", + "https://huggingface.co/papers/2603.03790", + "https://huggingface.co/papers/2603.04291", + "https://huggingface.co/papers/2603.03823", + "https://huggingface.co/papers/2603.02604", + "https://huggingface.co/papers/2603.03379", + "https://huggingface.co/papers/2603.03447", + "https://huggingface.co/papers/2603.04257", + "https://huggingface.co/papers/2603.04338", + "https://huggingface.co/papers/2603.03975", + "https://huggingface.co/papers/2603.04379", + "https://huggingface.co/papers/2603.01375", + "https://huggingface.co/papers/2603.01563", + "https://huggingface.co/papers/2603.02510", + "https://huggingface.co/papers/2602.20629", + "https://huggingface.co/papers/2602.21773", + "https://huggingface.co/papers/2602.23546", + "https://github.com/login?return_to=%2fthecraighewitt%2fseomachine", + "https://github.com/login?return_to=%2finclusionai%2fareal", + "https://github.com/login?return_to=%2fmicrosoft%2fmcp-for-beginners", + "https://github.com/login?return_to=%2fmicrosoft%2fhve-core" ] } \ No newline at end of file diff --git a/daily/2026-03-05_en.md b/daily/2026-03-05_en.md new file mode 100644 index 0000000..85d3bf0 --- /dev/null +++ b/daily/2026-03-05_en.md @@ -0,0 +1,61 @@ +# AI Daily Brief - 2026-03-05 + +> Collected at: 3/5/2026, 11:01:12 PM +> Total items: 89 + +## 🔥 Top 10 Highlights + +1. Heterogeneous Agent Collaborative Reinforcement Learning + https://huggingface.co/papers/2603.02604 + +2. Proact-VL: A Proactive VideoLLM for Real-Time AI Companions + https://huggingface.co/papers/2603.03447 + +3. Words & Weights: Streamlining Multi-Turn Interactions via Co-Adaptation + https://huggingface.co/papers/2603.01375 + +4. LFPO: Likelihood-Free Policy Optimization for Masked Diffusion Models + https://huggingface.co/papers/2603.01563 + +5. Humans and LLMs Diverge on Probabilistic Inferences + https://huggingface.co/papers/2602.23546 + +6. login?return_to=%2FTheCraigHewitt%2Fseomachine + https://github.com/login?return_to=%2FTheCraigHewitt%2Fseomachine + +7. login?return_to=%2FinclusionAI%2FAReaL + https://github.com/login?return_to=%2FinclusionAI%2FAReaL + +8. login?return_to=%2Fmicrosoft%2Fmcp-for-beginners + https://github.com/login?return_to=%2Fmicrosoft%2Fmcp-for-beginners + +9. login?return_to=%2Fmicrosoft%2Fhve-core + https://github.com/login?return_to=%2Fmicrosoft%2Fhve-core + +10. Robustness of Agentic AI Systems via Adversarially-Aligned Jacobian Regularization + http://arxiv.org/abs/2603.04378v1 + +## 📂 Categories + +### AI Coding Tools / Code Agent + +- Code Fingerprints: Disentangled Attribution of LLM-Generated Code + http://arxiv.org/abs/2603.04212v1 + +### AI Infrastructure / Inference Optimization + +- Low-Resource Guidance for Controllable Latent Audio Diffusion + http://arxiv.org/abs/2603.04366v1 +- Dissecting Quantization Error: A Concentration-Alignment Perspective + http://arxiv.org/abs/2603.04359v1 +- Activation Outliers in Transformer Quantization: Reproduction, Statistical Analysis, and Deployment Tradeoffs + http://arxiv.org/abs/2603.04308v1 +- Online Learning for Multi-Layer Hierarchical Inference under Partial and Policy-Dependent Feedback + http://arxiv.org/abs/2603.04247v1 +- $V_1$: Unifying Generation and Self-Verification for Parallel Reasoners + http://arxiv.org/abs/2603.04304v1 +- Bielik-Q2-Sharp: A Comparative Study of Extreme 2-bit Quantization Methods for a Polish 11B Language Model + http://arxiv.org/abs/2603.04162v1 + +--- +*Generated by AINewsCollector* diff --git a/daily/2026-03-05_zh.md b/daily/2026-03-05_zh.md new file mode 100644 index 0000000..0ea53f1 --- /dev/null +++ b/daily/2026-03-05_zh.md @@ -0,0 +1,61 @@ +# AI Daily Brief - 2026-03-05 + +> 采集时间: 2026/3/5 23:00:22 +> 总条目: 89 + +## 🔥 Top 10 重要消息 + +1. 异构智能体协同强化学习:突破孤立策略优化效率瓶颈 + https://huggingface.co/papers/2603.02604 + +2. “Proact-VL:实时低延迟视频LLM主动交互伴侣技术” + https://huggingface.co/papers/2603.03447 + +3. 《基于协同适配的多轮交互流式策略调整》 + https://huggingface.co/papers/2603.01375 + +4. LFPO:基于似然无模型掩码扩散模型的强化学习 + https://huggingface.co/papers/2603.01563 + +5. 人类与LLM在概率推理上存在差异 + https://huggingface.co/papers/2602.23546 + +6. “构建长篇SEO优化博客内容的Claude Code工作空间:助力企业内容排名提升” + https://github.com/login?return_to=%2FTheCraigHewitt%2Fseomachine + +7. 闪电速RL助力LLM推理与智能体,简易灵活 + https://github.com/login?return_to=%2FinclusionAI%2FAReaL + +8. 《跨语言MCP协议开源教程:多语言实践入门》 + https://github.com/login?return_to=%2Fmicrosoft%2Fmcp-for-beginners + +9. 超高速工程组件集:助力Copilots项目高效启动与升级 + https://github.com/login?return_to=%2Fmicrosoft%2Fhve-core + +10. 基于对抗对齐雅可比正则化的代理型AI系统鲁棒性研究 + http://arxiv.org/abs/2603.04378v1 + +## 📂 分类汇总 + +### AI 编程工具 / Code Agent + +- LLM生成代码指纹:解耦大型语言模型代码归因 + http://arxiv.org/abs/2603.04212v1 + +### AI 基础设施 / 推理优化 + +- 低资源引导实现可控音频扩散生成 + http://arxiv.org/abs/2603.04366v1 +- 量化误差剖析:基于集中对齐的函数保持变换 + http://arxiv.org/abs/2603.04359v1 +- Transformer量化中激活异常的再现、统计分析与部署权衡 + http://arxiv.org/abs/2603.04308v1 +- 在线学习实现分层推理的在线学习 + http://arxiv.org/abs/2603.04247v1 +- 统一生成与自验证:并行推理器测试时扩展新方法 + http://arxiv.org/abs/2603.04304v1 +- 《Bielik-Q2-Sharp:极低比特量化在波兰11B语言模型中的比较研究》 + http://arxiv.org/abs/2603.04162v1 + +--- +*Generated by AINewsCollector*