arXiv 2610.28601 · cs.AI · 2026-10-20
Evolving Agent Interfaces
Saaket Agashe, Yuzhe Yang, Gonzalo Gonzalez-Pumariega, Bhuvan Chandra Koduru, Chih-Lun Li, Jiachen Yang, Ang Li, Xin Eric Wang
机构待核实
在最新榜 #383 本站收录于 2026-10-24
一句话要点
Agent S4 是自主的“电脑操作科学家”:元智能体在合成训练任务上查看任务智能体的轨迹(不需要成功标签),自动构建和修订更合适的操作接口,比如用一行代码代替逐格输入表格,主张接口设计本身应成为智能体的能力。
Agent S4 is an autonomous computer-use scientist: a meta-agent examines task agents' trajectories on synthetic tasks, without success labels, and builds and revises Evolving Agent Interfaces — e.g. one line of code instead of typing a spreadsheet cell by cell — treating interface design as an agent capability.
阅读 arXiv 原文 PDF Hugging Face 讨论
主题与学科
同主题:智能体
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- False Frontiers: Diagnosing and Mitigating Co-Cheating in Self-Evolving Search Agents ▲642
- Omni-IO Skills: Harnessing Your Agent Omni-Native ▲485
- BizAgentBench: Unveiling Hidden Challenges in Deploying Long-Horizon Agents for Real-World Business ▲388
- Player-1: Learning to Play from Synthetic Experience ▲347
同主题:代码与软件工程
- MaLiang-Harness: A Programmable Path to Image and Video Generation 2026-09-28 · ▲367
- OpenGCUA: Toward a Fully Open Stack for Generalist Computer Use 2026-10-15 · ▲325
- HexaShell: A Thin Harness for Exploring the Limits of VLM Agents as Robot Coding Agents 2026-10-16 · ▲294
- AgentSWE: Can Coding Agents Build the Agent You Actually Want? 2026-10-09 · ▲233
- CodeMidas: Scaling Agentic Coding RL Environments from Code Itself 2026-09-18 · ▲138
数据说明
元数据来自 arXiv API(已核实);点赞来自 Hugging Face 每日论文;引用来自 Semantic Scholar。最近刷新 2026-10-26。
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