Designer-RSI: Evolving Procedural Memory from User Traffic for Agentic Graphic Design· Designer-RSI：从用户流量演化程序记忆的代理图形设计
Professional graphic design is a long-horizon agentic task in which structured, editable artifacts emerge from many interdependent actions, yet outcomes admit no reliable programmatic oracle. We introduce a continual adaptation framework in which a frozen frontier model operates professional design software through more than 230 tools, while an external procedural memory of natural-language skills accumulates and refines reusable design procedures from experience. The memory widens by acquiring procedures for recurring uncovered subtasks and deepens by revising existing procedures against their own successful and failed executions, while a matched replay gate admits only changes that repair failures without regressing observed successes. Five rounds over 1,406 real user briefs and 1,869 au
通过用户流量演化程序记忆以实现智能图形设计任务的持续适应框架。
- 核心方法
- 提出一种持续适应框架，包括一个操作超过230种工具的固定前沿模型和一个外部自然语言技能过程内存，该内存通过经验积累和优化可复用的设计流程。
- 适合谁读
- 研究者、工程师
- 要解决的问题
- 专业图形设计任务中，设计结果无法通过程序化方式可靠预测，且设计过程涉及大量相互依赖的操作。
- 关键实验
- 经过5轮迭代，处理了1,406个真实用户需求和1,869个自动设计任务，显示了框架的有效性和适应性。
- 主要贡献
- 实现了一种可以从用户实际操作中学习并改进设计流程的方法，即使面对未覆盖的子任务也能不断扩展内存。
- 意义与局限
- 此框架提升了代理图形设计过程中的人机协作效率，但在复杂设计任务的处理上仍可能存在局限。