Pai 的 AI 雷达

模型与评测

今天:Large Multimodal Models(Agent 原型),Refuses When Asked(Agent 原型)。并行还有 NVIDIA Cosmos3-H-Dreams、AM-Bench、Aptamers as a。

日期
2026/10/21
今日条目
110
当前类目
29
#25

AgentStripes: An Evidence-Graded Maturity Model for AI Agents

arXiv:2610.18603v2 Announce Type: replace Abstract: Benchmarks report what an Artificial Intelligence (AI) agent can do on a task suite, but not whether one released version has been engineered with the controls that make it reliable, safe and observable, or how strongly that is

推荐理由AgentStripes: An Evidence-Graded:arXiv:2610.18603v2 Announce Type: replace Abstract: Benchmarks report what。
模型与评测arXiv cs.AI 官方
#26

Agentic Ensemble with Vision-Language Models for Visual Anomaly Detection

arXiv:2610.28560v1 Announce Type: new Abstract: Visual anomaly detection aims to detect abnormal objects, while anomaly samples are often scarce during model training. Assembling multiple pretrained detectors can help by leveraging their transferable image scores and anomaly maps

推荐理由Agentic Ensemble with Vision-Language:arXiv:2610.28560v1 Announce Type: new Abstract: Visual anomaly detection aims to detect。
模型与评测arXiv cs.AI 官方
#27

Agentic discovery of interpretable car-following laws from multi-source trajectory data

arXiv:2610.27836v1 Announce Type: new Abstract: Car-following (CF) models is a fundamental component of microscopic traffic simulation and underpin the analysis of collective traffic dynamics, while its modeling becomes more challenging due to diverse human driving behaviors and

推荐理由Agentic discovery of interpretable:arXiv:2610.27836v1 Announce Type: new Abstract: Car-following (CF) models is。
模型与评测arXiv cs.RO 官方
#28

Automated Multi-Agent Organization Design: From Architecture Search to Organizational Learning

arXiv:2610.27531v1 Announce Type: new Abstract: Agentic system design is increasingly shifting from hand-crafted prompts and workflows toward automated search over agentic programs and interaction structures, with multi-agent systems receiving growing attention. Yet a central que

推荐理由Automated Multi-Agent Organization:arXiv:2610.27531v1 Announce Type: new Abstract: Agentic system design is increasingly。
模型与评测arXiv cs.AI 官方
#29

AgenticRoboRL: Bringing Coding-Agent Post-Training to Agentic Robotics

arXiv:2610.28589v1 Announce Type: new Abstract: Agentic robotics systems combine planners with robot harnesses to perform complex manipulation tasks. Recent work improves these systems through better harnesses and external memory, but relies on powerful closed-source models as pl

推荐理由AgenticRoboRL: Bringing Coding-Agent:arXiv:2610.28589v1 Announce Type: new Abstract: Agentic robotics systems combine。
模型与评测arXiv cs.RO 官方