Archived
2026-09-21Designer-RSI: Evolving Procedural Memory from User Traffic for Agentic Graphic Design
Hongyang Du, Lan Yan, Christian Flores, Asim Kadav
arXiv:2609.22086v1Today’s paper is about making AI design agents improve from real user traffic without retraining their weights. Graphic design is a long-horizon task: an agent has to open professional software, use hundreds of tools, and produce editable artifacts, but there is no clean automatic answer key for whether a design is good. The authors tackle that by giving a frozen frontier model an external procedural memory written in natural language. When the agent repeatedly encounters a subtask, it can add a new skill; when a stored procedure succeeds or fails, it can revise that procedure and keep only changes that improve failures without harming past successes. Over five rounds on more than 1,400 real briefs, the skill library grew from 76 to 139 procedures and dramatically improved execution success and design quality. Why this matters is simple: it shows a practical path for continual learning in messy, real-world environments where human feedback is noisy and labels are unavailable.
Also spotted that day
Cross-sector generalization of accident-process role classification in occupational accident narrativesCodeMidas: Scaling Agentic Coding RL Environments from Code ItselfValue-Sensitive Delegation in Everyday AI Agent Use: Evidence from OpenClawBrainWideBench: Benchmarking large-scale pretraining and across-animal transfer in multi-region neural recordingsPredictable Failure in Multi-Hop Retrieval: Score-Distributional Confidence Scoring and AbstentionBenchmarking World Models for Continual Learning on Compositional TasksParticle Competition and Cooperation for Robust Graph Convolutional Network Learning Under Label NoiseAvailable Guardrails: Certifying Selective Prediction across ML SystemsAn Interpretable Memory Decision Controller for LLM Agents Based on Three-Signal Complementarity: Decoupling Confidence and Consistency$λ$-Controlled GRPO: Turning Flow-Matching Ratio Instability into a Budgeted ResourceGricea: An Open Science Platform for Conversational AI ResearchQuranicMMLU: A Cognitively-Aware Benchmark for Evaluating Generative AI Solutions on Quranic Linguistic KnowledgeCOMPLEX: A Closed-Form Certified Embedding of Multiparameter Persistence ModulesDiaVLo: Diagnosing Behaviours of Vision-Language Models
Previous daily papers
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