研究與工具
來源原文的標題與連結，未經本站改寫；英文標題附機器翻譯。已排除與 AI 無關的條目；主題由本站地端模型自動分類，可能分錯。
- 針對無監督專利請求項分類，評估嵌入幾何結構與聚類演算法機器翻譯Benchmarking Embedding Geometries and Clustering Algorithms for Unsupervised Patent Claim Classification
arXiv:2610.12997v1 Announce Type: new Abstract: Prior-art retrieval systems are structurally organized around classification codes, making cross-code discovery difficult. This paper asks if an unsupervised representatio
論文基準arXiv cs.AI · 10/13 下午12:00 · 當天共 7 則 - GeoFitBench-LLM：評估大型語言模型在地理分析任務中提煉地理空間資料需求的基準機器翻譯GeoFitBench-LLM: A Benchmark for Assessing Large Language Models' Capabilities in Geospatial Data Requirements Elicitation for Geo-Analytic Tasks
arXiv:2610.12669v1 Announce Type: new Abstract: Large language models are becoming central to GeoAI systems, yet their evaluation rarely considers the elicitation of geospatial data requirements. This omission is critic
論文基準arXiv cs.CL · 10/13 下午12:00 · 當天共 6 則 - WorkRover：透過遞迴環境演化擴展長程協作代理訓練機器翻譯WorkRover: Scaling Long-Horizon Cowork Agent Training Via Recursive Environment Evolution
Scaling interactive environments is important for training long-horizon agents through reinforcement learning. These environments often require further testing and refinement after initial generation, and correcting defe
論文基準Hugging Face 每日精選論文 · 10/13 上午08:00 · 當天共 8 則 - 在泰國、馬來西亞、新加坡、印尼及台灣，透過 Amazon Bedrock 存取 OpenAI GPT 模型並進行全球跨區域推論機器翻譯Accessing OpenAI GPT models on Amazon Bedrock with global cross-Region inference in Thailand, Malaysia, Singapore, Indonesia, and Taiwan
Learn how to run OpenAI GPT-6 Sol, Luna, and Astra on Amazon Bedrock through global cross-Region inference from Singapore, Jakarta, Thailand, Malaysia, and Taipei. This post covers the Converse and OpenAI-compatible APIs
產品應用AWS ML Blog · 10/13 上午01:52 - 在 Amazon SageMaker AI 上透過 llama.cpp 部署決策模型機器翻譯Deploy decision models with llama.cpp on Amazon SageMaker AI
Learn how to deploy decision models with llama.cpp on Amazon SageMaker AI. This technical how-to serves OpenAI-compatible chat completions with the AWS Deep Learning Container for llama.cpp, then extends the runtime with
產品應用AWS ML Blog · 10/12 下午11:51 · 當天共 2 則展開同日其他 1 則
- TPPO：用於語言模型推理的追蹤價值PPO機器翻譯TPPO: Tracking-Value PPO For Language Model Reasoning
Proximal Policy Optimization (PPO) is widely used in reinforcement learning with verifiable rewards for language-model reasoning. While value evolution along trajectory characterizes relative token-level credit, yet stan
論文基準Hugging Face 每日精選論文 · 10/12 上午08:00 · 當天共 2 則展開同日其他 1 則
- ExeWorldBench：程式碼驅動的可執行3D世界建模基準測試機器翻譯ExeWorldBench: Benchmarking Code-Based Executable 3D World Modeling
Coding agents are increasingly evolving beyond reproducing what a world looks like toward constructing executable worlds that capture how a world works. This shift calls for executable world modeling, which integrates tw
論文基準Hugging Face 每日精選論文 · 10/10 上午08:00 · 當天共 3 則 - 別錯過：2026年9月AI開發者有哪些新進展機器翻譯ICYMI: What landed for AI builders in September 2026
A monthly recap of the latest Amazon Bedrock, Amazon Bedrock AgentCore, and Strands updates from September 2026: broader model choice, faster serverless agents with built-in evaluation, and automated knowledge base synci
產品應用AWS ML Blog · 10/09 下午11:38 · 當天共 4 則 - AgentSWE：程式碼代理能打造你真正想要的代理嗎？機器翻譯AgentSWE: Can Coding Agents Build the Agent You Actually Want?
As the production of software passes into the hands of software itself, coding agents are increasingly commissioned to build agents fitted to their users' own workflows. This delegation carries a quiet assumption, that t
論文基準Hugging Face 每日精選論文 · 10/09 上午08:00 · 當天共 2 則展開同日其他 1 則
- 歡迎來到 Gemini at Work 2026：推出 Gemini 代理機器翻譯Welcome to Gemini at Work 2026: Introducing the Gemini agent
Editor’s note: This article is adapted from Thomas Kurian’s keynote address at Gemini at Work 2026. It includes a number of announcements: Gemini , a single, universal agent for work that answers your questio
產品應用Google Cloud Blog (AI) · 10/08 下午08:00 · 當天共 2 則展開同日其他 1 則