📄 添加 AI 新闻简报 - 2026-03-06
This commit is contained in:
parent
12b3987f5c
commit
69a2b08373
105
cache/seen_urls.json
vendored
105
cache/seen_urls.json
vendored
@ -1,5 +1,5 @@
|
||||
{
|
||||
"lastUpdate": "2026-03-05T15:01:12.455Z",
|
||||
"lastUpdate": "2026-03-06T15:00:51.362Z",
|
||||
"urls": [
|
||||
"http://arxiv.org/abs/2602.23360v1",
|
||||
"http://arxiv.org/abs/2602.23359v1",
|
||||
@ -475,6 +475,107 @@
|
||||
"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"
|
||||
"https://github.com/login?return_to=%2fmicrosoft%2fhve-core",
|
||||
"http://arxiv.org/abs/2603.05504v1",
|
||||
"http://arxiv.org/abs/2603.05500v1",
|
||||
"http://arxiv.org/abs/2603.05498v1",
|
||||
"http://arxiv.org/abs/2603.05494v1",
|
||||
"http://arxiv.org/abs/2603.05488v1",
|
||||
"http://arxiv.org/abs/2603.05485v1",
|
||||
"http://arxiv.org/abs/2603.05483v1",
|
||||
"http://arxiv.org/abs/2603.05471v1",
|
||||
"http://arxiv.org/abs/2603.05450v1",
|
||||
"http://arxiv.org/abs/2603.05449v1",
|
||||
"http://arxiv.org/abs/2603.05448v1",
|
||||
"http://arxiv.org/abs/2603.05438v1",
|
||||
"http://arxiv.org/abs/2603.05437v1",
|
||||
"http://arxiv.org/abs/2603.05432v1",
|
||||
"http://arxiv.org/abs/2603.05425v1",
|
||||
"http://arxiv.org/abs/2603.05421v1",
|
||||
"http://arxiv.org/abs/2603.05418v1",
|
||||
"http://arxiv.org/abs/2603.05414v1",
|
||||
"http://arxiv.org/abs/2603.05399v1",
|
||||
"http://arxiv.org/abs/2603.05392v1",
|
||||
"http://arxiv.org/abs/2603.05370v1",
|
||||
"http://arxiv.org/abs/2603.05361v1",
|
||||
"http://arxiv.org/abs/2603.05352v1",
|
||||
"http://arxiv.org/abs/2603.05344v1",
|
||||
"http://arxiv.org/abs/2603.05318v1",
|
||||
"http://arxiv.org/abs/2603.05314v1",
|
||||
"http://arxiv.org/abs/2603.05310v1",
|
||||
"http://arxiv.org/abs/2603.05308v1",
|
||||
"http://arxiv.org/abs/2603.05301v1",
|
||||
"http://arxiv.org/abs/2603.04384v2",
|
||||
"http://arxiv.org/abs/2603.05462v1",
|
||||
"http://arxiv.org/abs/2603.05459v1",
|
||||
"http://arxiv.org/abs/2603.05451v1",
|
||||
"http://arxiv.org/abs/2603.05400v1",
|
||||
"http://arxiv.org/abs/2603.05369v1",
|
||||
"http://arxiv.org/abs/2603.05357v1",
|
||||
"http://arxiv.org/abs/2603.05354v1",
|
||||
"http://arxiv.org/abs/2603.05345v1",
|
||||
"http://arxiv.org/abs/2603.05299v1",
|
||||
"http://arxiv.org/abs/2603.05293v1",
|
||||
"http://arxiv.org/abs/2603.05275v1",
|
||||
"http://arxiv.org/abs/2603.05272v1",
|
||||
"http://arxiv.org/abs/2603.05262v1",
|
||||
"http://arxiv.org/abs/2603.05210v1",
|
||||
"http://arxiv.org/abs/2603.05207v1",
|
||||
"http://arxiv.org/abs/2603.05198v1",
|
||||
"http://arxiv.org/abs/2603.05197v1",
|
||||
"http://arxiv.org/abs/2603.05193v1",
|
||||
"http://arxiv.org/abs/2603.05171v1",
|
||||
"http://arxiv.org/abs/2603.05168v1",
|
||||
"http://arxiv.org/abs/2603.05167v1",
|
||||
"http://arxiv.org/abs/2603.05143v1",
|
||||
"http://arxiv.org/abs/2603.05136v1",
|
||||
"http://arxiv.org/abs/2603.05134v1",
|
||||
"http://arxiv.org/abs/2603.05121v1",
|
||||
"http://arxiv.org/abs/2603.05099v1",
|
||||
"http://arxiv.org/abs/2603.05495v1",
|
||||
"http://arxiv.org/abs/2603.05480v1",
|
||||
"http://arxiv.org/abs/2603.05468v1",
|
||||
"http://arxiv.org/abs/2603.05440v1",
|
||||
"http://arxiv.org/abs/2603.05433v1",
|
||||
"http://arxiv.org/abs/2603.05423v1",
|
||||
"http://arxiv.org/abs/2603.05396v1",
|
||||
"http://arxiv.org/abs/2603.05395v1",
|
||||
"http://arxiv.org/abs/2603.05375v1",
|
||||
"http://arxiv.org/abs/2603.05371v1",
|
||||
"http://arxiv.org/abs/2603.05353v1",
|
||||
"http://arxiv.org/abs/2603.05343v1",
|
||||
"http://arxiv.org/abs/2603.05340v1",
|
||||
"http://arxiv.org/abs/2603.05335v1",
|
||||
"http://arxiv.org/abs/2603.05327v1",
|
||||
"http://arxiv.org/abs/2603.05317v1",
|
||||
"https://huggingface.co/papers/2603.04737",
|
||||
"https://huggingface.co/papers/2603.03942",
|
||||
"https://huggingface.co/papers/2603.00695",
|
||||
"https://huggingface.co/papers/2603.04448",
|
||||
"https://huggingface.co/papers/2603.04800",
|
||||
"https://huggingface.co/papers/2603.03655",
|
||||
"https://huggingface.co/papers/2603.05504",
|
||||
"https://huggingface.co/papers/2602.23229",
|
||||
"https://huggingface.co/papers/2602.23166",
|
||||
"https://huggingface.co/papers/2603.02170",
|
||||
"https://huggingface.co/papers/2603.00466",
|
||||
"https://huggingface.co/papers/2603.04743",
|
||||
"https://huggingface.co/papers/2603.05433",
|
||||
"https://huggingface.co/papers/2603.05484",
|
||||
"https://huggingface.co/papers/2603.04892",
|
||||
"https://huggingface.co/papers/2603.05312",
|
||||
"https://huggingface.co/papers/2603.03756",
|
||||
"https://huggingface.co/papers/2603.05449",
|
||||
"https://huggingface.co/papers/2603.02210",
|
||||
"https://huggingface.co/papers/2603.04736",
|
||||
"https://huggingface.co/papers/2603.04791",
|
||||
"https://huggingface.co/papers/2603.05218",
|
||||
"https://huggingface.co/papers/2603.04304",
|
||||
"https://github.com/login?return_to=%2fqwenlm%2fqwen-agent",
|
||||
"https://github.com/login?return_to=%2fed1s0nz%2fcyberstrikeai",
|
||||
"https://github.com/login?return_to=%2flingfengqaq%2fwebnovel-writer",
|
||||
"https://github.com/login?return_to=%2fopenai%2fskills",
|
||||
"https://github.com/login?return_to=%2fvirattt%2fai-hedge-fund",
|
||||
"https://github.com/sponsors/aidenybai"
|
||||
]
|
||||
}
|
||||
63
daily/2026-03-06_en.md
Normal file
63
daily/2026-03-06_en.md
Normal file
@ -0,0 +1,63 @@
|
||||
# AI Daily Brief - 2026-03-06
|
||||
|
||||
> Collected at: 3/6/2026, 11:00:51 PM
|
||||
> Total items: 101
|
||||
|
||||
## 🔥 Top 10 Highlights
|
||||
|
||||
1. login?return_to=%2FQwenLM%2FQwen-Agent
|
||||
https://github.com/login?return_to=%2FQwenLM%2FQwen-Agent
|
||||
|
||||
2. Balancing Coverage and Draft Latency in Vocabulary Trimming for Faster Speculative Decoding
|
||||
http://arxiv.org/abs/2603.05210v1
|
||||
|
||||
3. MASQuant: Modality-Aware Smoothing Quantization for Multimodal Large Language Models
|
||||
https://huggingface.co/papers/2603.04800
|
||||
|
||||
4. SageBwd: A Trainable Low-bit Attention
|
||||
https://huggingface.co/papers/2603.02170
|
||||
|
||||
5. MOOSE-Star: Unlocking Tractable Training for Scientific Discovery by Breaking the Complexity Barrier
|
||||
https://huggingface.co/papers/2603.03756
|
||||
|
||||
6. V_1: Unifying Generation and Self-Verification for Parallel Reasoners
|
||||
https://huggingface.co/papers/2603.04304
|
||||
|
||||
7. login?return_to=%2FEd1s0nZ%2FCyberStrikeAI
|
||||
https://github.com/login?return_to=%2FEd1s0nZ%2FCyberStrikeAI
|
||||
|
||||
8. login?return_to=%2Fopenai%2Fskills
|
||||
https://github.com/login?return_to=%2Fopenai%2Fskills
|
||||
|
||||
9. sponsors/aidenybai
|
||||
https://github.com/sponsors/aidenybai
|
||||
|
||||
10. Dissociating Direct Access from Inference in AI Introspection
|
||||
http://arxiv.org/abs/2603.05414v1
|
||||
|
||||
## 📂 Categories
|
||||
|
||||
### AI Coding Tools / Code Agent
|
||||
|
||||
- Building AI Coding Agents for the Terminal: Scaffolding, Harness, Context Engineering, and Lessons Learned
|
||||
http://arxiv.org/abs/2603.05344v1
|
||||
|
||||
### AI Infrastructure / Inference Optimization
|
||||
|
||||
- DiSCTT: Consensus-Guided Self-Curriculum for Efficient Test-Time Adaptation in Reasoning
|
||||
http://arxiv.org/abs/2603.05357v1
|
||||
- Sparse-BitNet: 1.58-bit LLMs are Naturally Friendly to Semi-Structured Sparsity
|
||||
http://arxiv.org/abs/2603.05168v1
|
||||
- Cheap Thrills: Effective Amortized Optimization Using Inexpensive Labels
|
||||
http://arxiv.org/abs/2603.05495v1
|
||||
- Harnessing Synthetic Data from Generative AI for Statistical Inference
|
||||
http://arxiv.org/abs/2603.05396v1
|
||||
- InfoFlow KV: Information-Flow-Aware KV Recomputation for Long Context
|
||||
http://arxiv.org/abs/2603.05353v1
|
||||
- Preserving Continuous Symmetry in Discrete Spaces: Geometric-Aware Quantization for SO(3)-Equivariant GNNs
|
||||
http://arxiv.org/abs/2603.05343v1
|
||||
- Bayes with No Shame: Admissibility Geometries of Predictive Inference
|
||||
http://arxiv.org/abs/2603.05335v1
|
||||
|
||||
---
|
||||
*Generated by AINewsCollector*
|
||||
63
daily/2026-03-06_zh.md
Normal file
63
daily/2026-03-06_zh.md
Normal file
@ -0,0 +1,63 @@
|
||||
# AI Daily Brief - 2026-03-06
|
||||
|
||||
> 采集时间: 2026/3/6 23:00:28
|
||||
> 总条目: 101
|
||||
|
||||
## 🔥 Top 10 重要消息
|
||||
|
||||
1. Qwen-Agent：基于Qwen>=3.0的智能代理框架与应用
|
||||
https://github.com/login?return_to=%2FQwenLM%2FQwen-Agent
|
||||
|
||||
2. 平衡覆盖与草稿延迟：词汇剪枝加速推测解码
|
||||
http://arxiv.org/abs/2603.05210v1
|
||||
|
||||
3. MASQuant：多模态大语言模型模态感知平滑量化
|
||||
https://huggingface.co/papers/2603.04800
|
||||
|
||||
4. SageBwd：可训练的低比特注意力加速模型训练
|
||||
https://huggingface.co/papers/2603.02170
|
||||
|
||||
5. MOOSE-Star：突破复杂壁垒，实现科学发现的可处理训练
|
||||
https://huggingface.co/papers/2603.03756
|
||||
|
||||
6. 统一生成与自验证：并行推理器测试时缩放新方法
|
||||
https://huggingface.co/papers/2603.04304
|
||||
|
||||
7. 基于Go的CyberStrikeAI：集成百款工具的智能安全测试平台
|
||||
https://github.com/login?return_to=%2FEd1s0nZ%2FCyberStrikeAI
|
||||
|
||||
8. 《Codex技能目录：构建智能编程助手》
|
||||
https://github.com/login?return_to=%2Fopenai%2Fskills
|
||||
|
||||
9. 从网站直接选择编码代理的上下文选择技术
|
||||
https://github.com/sponsors/aidenybai
|
||||
|
||||
10. AI内省机制解析：区分直接访问与推理
|
||||
http://arxiv.org/abs/2603.05414v1
|
||||
|
||||
## 📂 分类汇总
|
||||
|
||||
### AI 编程工具 / Code Agent
|
||||
|
||||
- 构建终端原生AI编码助手：构建框架、工具整合、上下文工程与经验总结
|
||||
http://arxiv.org/abs/2603.05344v1
|
||||
|
||||
### AI 基础设施 / 推理优化
|
||||
|
||||
- DiSCTT：共识引导的自适应推理测试时高效自学习课程
|
||||
http://arxiv.org/abs/2603.05357v1
|
||||
- 稀疏比特网：1.58比特LLMs天然适应半结构化稀疏
|
||||
http://arxiv.org/abs/2603.05168v1
|
||||
- 低成本优化：基于廉价标签的高效折衷优化
|
||||
http://arxiv.org/abs/2603.05495v1
|
||||
- 利用生成式AI合成数据提升统计推断
|
||||
http://arxiv.org/abs/2603.05396v1
|
||||
- 信息流感知KV重计算：长文本问答RAG加速
|
||||
http://arxiv.org/abs/2603.05353v1
|
||||
- SO(3)等变GNN几何感知量化：离散空间中连续对称性保护
|
||||
http://arxiv.org/abs/2603.05343v1
|
||||
- 贝叶斯无羞愧：预测推理的可接受性几何
|
||||
http://arxiv.org/abs/2603.05335v1
|
||||
|
||||
---
|
||||
*Generated by AINewsCollector*
|
||||
Loading…
x
Reference in New Issue
Block a user