arXiv 2609.25804 · cs.AI · 2026-09-22
The Tasteful Agent: Measuring and Improving Taste in Long-Horizon Tasks
Wenbo Pan, Zhichao Liu, Shujie Liu, Jingying Zeng, Chin-Yew Lin, Xianfeng Tang, Yan Lu, Qi He 等 9 人
Microsoft
在最新榜 #34 2026-W39 第 5 名 本站收录于 2026-10-21
一句话要点
Taste-Bench 衡量 Agent 在长任务里选方向的“品味”，并探索如何提升这种决策能力。
Taste-Bench measures an agent's 'taste' for long-horizon decisions and explores ways to improve it.
阅读 arXiv 原文 PDF Hugging Face 讨论 代码仓库
主题与学科
同主题：智能体
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- BizAgentBench: Unveiling Hidden Challenges in Deploying Long-Horizon Agents for Real-World Business ▲490
- Omni-IO Skills: Harnessing Your Agent Omni-Native ▲485
- Player-1: Learning to Play from Synthetic Experience ▲348
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 2026-10-22。
要点由本站根据摘要自写，不转载摘要原文，请阅读原文。