bojunc
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- arXiv: 改用 curl 子进程支持代理，使用 lastUpdatedDate 排序 + 代码过滤 48 小时内论文 - HuggingFace: 修正 API 端点为 /api/daily_papers（下划线） - 优化 HTTP 请求封装，稳定支持代理环境
58 lines
4.3 KiB
Markdown
58 lines
4.3 KiB
Markdown
# AI Daily Brief - 2026-02-27
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> 采集时间: 2026/2/27 23:33:33
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> 总条目: 131
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## 🔥 Top 10 重要消息
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1. [sponsors/muratcankoylan](https://github.com/sponsors/muratcankoylan) - **GitHub Trending**
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> A comprehensive collection of Agent Skills for context engineering, multi-agent architectures, and production agent systems. Use when building, optimi...
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2. [login?return_to=%2Fruvnet%2Fclaude-flow](https://github.com/login?return_to=%2Fruvnet%2Fclaude-flow) - **GitHub Trending**
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> 🌊 The leading agent orchestration platform for Claude. Deploy intelligent multi-agent swarms, coordinate autonomous workflows, and build conversation...
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3. [Search More, Think Less: Rethinking Long-Horizon Agentic Search for Efficiency and Generalization](https://huggingface.co/papers/2602.22675) - **Hugging Face**
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> Recent deep research agents primarily improve performance by scaling reasoning depth, but this leads to high inference cost and latency in search-inte...
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4. [AgentDropoutV2: Optimizing Information Flow in Multi-Agent Systems via Test-Time Rectify-or-Reject Pruning](https://huggingface.co/papers/2602.23258) - **Hugging Face**
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> While Multi-Agent Systems (MAS) excel in complex reasoning, they suffer from the cascading impact of erroneous information generated by individual par...
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5. [Accelerating Diffusion via Hybrid Data-Pipeline Parallelism Based on Conditional Guidance Scheduling](https://huggingface.co/papers/2602.21760) - **Hugging Face**
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> Diffusion models have achieved remarkable progress in high-fidelity image, video, and audio generation, yet inference remains computationally expensiv...
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6. [Exploratory Memory-Augmented LLM Agent via Hybrid On- and Off-Policy Optimization](https://huggingface.co/papers/2602.23008) - **Hugging Face**
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> Exploration remains the key bottleneck for large language model agents trained with reinforcement learning. While prior methods exploit pretrained kno...
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7. [login?return_to=%2Fruvnet%2Fwifi-densepose](https://github.com/login?return_to=%2Fruvnet%2Fwifi-densepose) - **GitHub Trending**
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> Production-ready implementation of InvisPose - a revolutionary WiFi-based dense human pose estimation system that enables real-time full-body tracking...
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8. [login?return_to=%2Fbytedance%2Fdeer-flow](https://github.com/login?return_to=%2Fbytedance%2Fdeer-flow) - **GitHub Trending**
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> An open-source SuperAgent harness that researches, codes, and creates. With the help of sandboxes, memories, tools, skills and subagents, it handles d...
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9. [login?return_to=%2Fmoonshine-ai%2Fmoonshine](https://github.com/login?return_to=%2Fmoonshine-ai%2Fmoonshine) - **GitHub Trending**
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> Fast and accurate automatic speech recognition (ASR) for edge devices
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10. [sponsors/obra](https://github.com/sponsors/obra) - **GitHub Trending**
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> An agentic skills framework & software development methodology that works.
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## 📂 分类汇总
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### Agent 框架
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- [Toward Expert Investment Teams:A Multi-Agent LLM System with Fine-Grained Trading Tasks](http://arxiv.org/abs/2602.23330v1) - arXiv
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- [AgentDropoutV2: Optimizing Information Flow in Multi-Agent Systems via Test-Time Rectify-or-Reject Pruning](http://arxiv.org/abs/2602.23258v1) - arXiv
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### AI 基础设施 / 推理优化
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- [Bitwise Systolic Array Architecture for Runtime-Reconfigurable Multi-precision Quantized Multiplication on Hardware Accelerators](http://arxiv.org/abs/2602.23334v1) - arXiv
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- [Invariant Transformation and Resampling based Epistemic-Uncertainty Reduction](http://arxiv.org/abs/2602.23315v1) - arXiv
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- [Agency and Architectural Limits: Why Optimization-Based Systems Cannot Be Norm-Responsive](http://arxiv.org/abs/2602.23239v1) - arXiv
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- [InnerQ: Hardware-aware Tuning-free Quantization of KV Cache for Large Language Models](http://arxiv.org/abs/2602.23200v1) - arXiv
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- [Assessing Deanonymization Risks with Stylometry-Assisted LLM Agent](http://arxiv.org/abs/2602.23079v1) - arXiv
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- [Rejection Mixing: Fast Semantic Propagation of Mask Tokens for Efficient DLLM Inference](http://arxiv.org/abs/2602.22868v1) - arXiv
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- [Differentiable Zero-One Loss via Hypersimplex Projections](http://arxiv.org/abs/2602.23336v1) - arXiv
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- [FairQuant: Fairness-Aware Mixed-Precision Quantization for Medical Image Classification](http://arxiv.org/abs/2602.23192v1) - arXiv
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---
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*Generated by AINewsCollector*
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