Pai 的 AI 雷达

今日必看

含近几日仍热话题,按时间衰减排序。今天先看 ToolJet/ToolJet,其次 YouMind-OpenLab/awesome-nano-banana-pro-prompts。并行还有 GitHub Copilot app for Beginners: Using the diff, terminal, and browser、AI Scan for pull request APIs in public preview。

日期
2026/09/11
今日条目
78

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#32

Control GitHub Actions cache access with cache-mode

You can now use cache-mode to apply least-privilege access to the GitHub Actions cache at the workflow or job level. By granting each workflow or job only the cache access it needs, you can prevent unnecessary restores or saves and help protect trusted workflows from cache poison

推荐理由Control GitHub Actions cache access:You can now use cache-mode to apply least-privilege access to the GitHub Actions cache。
产品接入GitHub Changelog
#36

Refreshed repository pull requests page in public preview

A refreshed repository-level pull request listing page is now in public preview for all GitHub users. It brings powerful filtering, compact presentation mode, and more. Highlights The new page makes it easier to find and act on pull requests in a repository, with new filtering an

推荐理由Refreshed repository pull requests page:A refreshed repository-level pull request listing page is now in public preview for all。
产品接入GitHub Changelog
#39

Beyond Prompts: Measuring and Optimizing LLM Tool-Agent Harnesses

arXiv:2609.05736v2 Announce Type: replace Abstract: LLM tool agents can be improved without retraining by modifying the runtime harness around a fixed model: prompts, tool interfaces, middleware, state handling, and recovery logic. We study this setting as resource-bounded harnes

推荐理由Beyond Prompts: Measuring:arXiv:2609.05736v2 Announce Type: replace Abstract: LLM tool agents can be improved。
模型与评测arXiv cs.AI 官方
#40

Context operations to architecture modelling output from large language models and evaluation criteria for their use in systems engineering design

arXiv:2609.10132v1 Announce Type: cross Abstract: The development of generative artificial intelligence resources enables opportunities of speeding up systems and engineering design work. This contribution introduces a framework of formal operations for assembling context in LLM

推荐理由Context operations to architecture:arXiv:2609.10132v1 Announce Type: cross Abstract: The development of generative。
模型与评测arXiv cs.AI 官方
#41

KernelGenBench: Can LLMs and Agents Write Efficient Kernels Across Operator Sources and Hardware Platforms?

arXiv:2607.27231v3 Announce Type: replace Abstract: Modern AI systems depend on specialized accelerator kernels, whose development is complicated by increasingly diverse operators and hardware. LLMs and agentic systems promise to automate this work, but existing evaluations do no

推荐理由KernelGenBench: Can LLMs and Agents:arXiv:2607.27231v3 Announce Type: replace Abstract: Modern AI systems depend。
模型与评测arXiv cs.AI 官方
#42

Multi-Agent Agentic Graph Learning via Structural Signatures

arXiv:2609.09565v1 Announce Type: new Abstract: Agentic graph learning (AGL) has recently achieved promising results on graph reasoning tasks, where an agent powered by a large language model (LLM) sequentially samples the graph as evidence to support its final prediction. Existi

推荐理由Multi-Agent Agentic Graph Learning via:arXiv:2609.09565v1 Announce Type: new Abstract: Agentic graph learning (AGL) has。
模型与评测arXiv cs.AI 官方
#43

With a Thermomix You Lose the Ability to Cook: A Kitchen Machine Analogy for Applications of Generative AI in Education

arXiv:2609.09856v1 Announce Type: cross Abstract: The rapid adoption of generative AI tools such as ChatGPT has sparked intense debate about their risks and opportunities for education, as well as the ways researchers should investigate them. In this paper, we approach these disc

推荐理由With a Thermomix You Lose the Ability:arXiv:2609.09856v1 Announce Type: cross Abstract: The rapid adoption of generative AI。
模型与评测arXiv cs.AI 官方
#44

Xcode 27 runner image now runs on macOS 27

You can now validate your Apple apps against macOS 27 using the Xcode 27 runner image for GitHub-hosted macOS runners, available in public preview. The image previously ran on macOS 26. How you target the image stays the same. Keep using the following labels in your workflow’s ru

推荐理由Xcode 27 runner image now runs on macOS:You can now validate your Apple apps against macOS 27 using the Xcode 27 runner image。
产品接入GitHub Changelog
#45

StreetDiff: Multi-view Street Scenes Generation via Cross-view Consistent Multi-view Stable Diffusion with Structure Prompts

arXiv:2609.09890v1 Announce Type: new Abstract: Multi-view diffusion models have shown strong performance in scenes with strong geometric priors and sparse semantics, such as indoor rooms or simple outdoor environments (e.g., fields, courtyards). However, they often fail to maint

推荐理由StreetDiff: Multi-view Street Scenes:arXiv:2609.09890v1 Announce Type: new Abstract: Multi-view diffusion models have shown。
模型与评测arXiv cs.CV 官方
#46

Omni Interaction Agent Technical Report

arXiv:2609.08977v2 Announce Type: replace-cross Abstract: In this work, we present Gander, an end-to-end model that unifies omni perception, realtime interaction, and agentic capabilities within a single framework. In contrast to turn-based conventional paradigms, Gander continuo

推荐理由Omni Interaction Agent Technical Report:arXiv:2609.08977v2 Announce Type: replace-cross Abstract: In this work, we present。
模型与评测arXiv cs.AI 官方
#48

Enterprise managed permissions for GitHub Copilot agent operations

If you administer GitHub Copilot Business or GitHub Copilot Enterprise, you can now centrally control which agent operations are blocked, require human approval, or can proceed without a prompt. Managed permissions cover shell commands, file reads and edits, and network domains.

推荐理由Enterprise managed permissions:If you administer GitHub Copilot Business or GitHub Copilot Enterprise, you can now。
开发与开源GitHub Changelog
#49

3rd Place Solution to Human Motion Challenges in Real-World and Clinical Settings (MoCha) @ECCV2026: Language-Aligned Motion Representations for Domain-Generalizable UPDRS-Gait Sev

arXiv:2609.10187v1 Announce Type: new Abstract: In this work, we introduce language-aligned motion representations for domain-generalizable UPDRS-Gait severity estimation, aiming to learn semantically structured motion features that generalize across heterogeneous clinical domain

推荐理由3rd Place Solution to Human Motion:arXiv:2609.10187v1 Announce Type: new Abstract: In this work, we introduce。
模型与评测生信医疗arXiv cs.CV 官方
#50

A-JIT: Agentic Just-In-Time Software Construction

arXiv:2609.10248v1 Announce Type: cross Abstract: Traditional software delivery assumes a static paradigm: code is constructed prior to execution and deployed as a fixed artifact. We present Agentic Just-In-Time Software Construction (A-JIT), a paradigm that replaces static binar

推荐理由A-JIT: Agentic Just-In-Time Software:arXiv:2609.10248v1 Announce Type: cross Abstract: Traditional software delivery assumes。
模型与评测arXiv cs.AI 官方
#51

AgentAudit: An Open, Extensible Framework for Full-Lifecycle Trust Evaluation of AI Agents

arXiv:2609.09875v1 Announce Type: new Abstract: Existing evaluation frameworks mostly assess only one part of AI agents, such as task completion (AgentBench) or security robustness (AgentDojo, ASB), rather than the complete pipeline of planning, tool selection, tool execution, me

推荐理由AgentAudit: An Open, Extensible:arXiv:2609.09875v1 Announce Type: new Abstract: Existing evaluation frameworks mostly。
模型与评测arXiv cs.AI 官方
#52

Agentic AI-enabled Semantic Commissioning of a Cognitive Digital Twin for Reconfigurable Manufacturing

arXiv:2609.09503v1 Announce Type: new Abstract: Rapid bespoke commissioning of the Cognitive Digital Twin (CDT) is a major challenge in reconfigurable manufacturing. Traditional digital twin (DT) construction methods primarily focus on geometric reconstruction, often neglecting t

推荐理由Agentic AI-enabled Semantic:arXiv:2609.09503v1 Announce Type: new Abstract: Rapid bespoke commissioning of。
模型与评测arXiv cs.RO 官方
#53

An Autonomous GeoAI Agent for Arctic Eco-Navigation

arXiv:2609.09374v1 Announce Type: new Abstract: Arctic maritime navigation is becoming increasingly important as changing sea-ice conditions expand seasonal accessibility while simultaneously introducing substantial operational, environmental, and community risks. Arctic route pl

推荐理由An Autonomous GeoAI Agent for Arctic:arXiv:2609.09374v1 Announce Type: new Abstract: Arctic maritime navigation is becoming。
模型与评测arXiv cs.AI 官方
#54

An Experimental Evaluation of Multimodal Prompt Injection Attacks on Agentic AI Frameworks

arXiv:2609.09404v1 Announce Type: cross Abstract: Agentic AI frameworks let a language model plan, keep memory, and call tools that reach real files, mail, and services. Most of these agents also read images, which gives an attacker a way to put text into the agent's context with

推荐理由An Experimental Evaluation:arXiv:2609.09404v1 Announce Type: cross Abstract: Agentic AI frameworks let a language。
模型与评测arXiv cs.AI 官方
#55

Beyond Similarity: Foundation Models as an Efficient Backbone for Training-Free Composed Video Retrieval

arXiv:2609.10008v1 Announce Type: new Abstract: Composed video retrieval (CoVR) searches a gallery for the target video that realizes a natural-language modification of a source clip. However, at gallery scale, this creates a fundamental tension: compact embeddings enable efficie

推荐理由Beyond Similarity: Foundation Models as:arXiv:2609.10008v1 Announce Type: new Abstract: Composed video retrieval (CoVR)。
模型与评测arXiv cs.CV 官方