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概念

什么是 Test-Time Scaling？

也叫：测试时扩展、TTS

在推理阶段动态分配更多计算资源以提升模型输出的技术范式。

为什么现在值得关注？

最近变化

2026-06-04 · Instructed-Retriever-1使搜索延迟降低3倍以上，TTFT降至约2秒，无需重新配置。

Test-Time Scaling 被反复提及时，通常意味着它正在影响产品路线、开发者工作流或 AI 产业判断。这个页面把分散材料合并成一个可持续更新的观察入口。

如果只读 3 篇

3x Faster Search: Parallel Test-Time Scaling with Instructed-Retriever-1

Databricks · 9.2 分

// LLMs Improving LLMs // Interesting progress the past of couple of weeks around self-improving AI...

elvis(@omarsar0) · 8.7 分

📰 Test-Time Scaling 最新动态

已收录 2 篇与「Test-Time Scaling」相关的 AI 资讯和分析。

Databricks 图标

Databricks' Instructed-Retriever-1 cuts search latency by 3x and TTFT to ~2s via parallel test-time scaling without quality loss. The unified model handles query generation and reranking in parallel using multi-pivot groupwise reranking, achieving Pareto-optimal recall-precision tradeoffs for enterprise RAG systems.

入选理由：Instructed-Retriever-1使搜索延迟降低3倍以上，TTFT降至约2秒，无需重新配置。

FeaturedArticle#RAG#Test-Time Scaling#Instructed-Retriever-1#Databricks#Retrieval英文
// LLMs Improving LLMs // Interesting progress the past of couple of weeks around self-improving AI...

// LLMs Improving LLMs //

elvis(@omarsar0)289 字 (约 2 分钟)
87

The AutoTTS framework enables LLMs to autonomously search test-time scaling strategies, discovering controllers superior to human-designed ones in just $39.9 and 160 minutes, achieving better accuracy-cost Pareto frontiers on math reasoning tasks.

入选理由：AutoTTS将测试时扩展策略搜索成本降至39.9美元和160分钟，显著低于传统人工调参。

FeaturedTweet#LLM#AutoTTS#AI agent#test-time scaling#arXiv paper英文

🔗 相关术语

与「Test-Time Scaling」经常一起出现的 AI 术语。

Agent Bricks Knowledge AssistantClaude Sonnet 4.5DatabricksKARLBenchInstructed-Retriever-1AutoTTSLLMarXiv:2605.08083

💡 想追踪「Test-Time Scaling」的长期趋势？去 实体雷达 · Test-Time Scaling 查看详细分析和跨材料问答。

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