CRAMER: Control via Request-Aware Masking for Editing Recommenders

Published in ICML 2026

Zhiyuan Su, Naihe Feng, Luther Qin, Ga Wu

TL;DR: Adapts a frozen sequential recommender to natural-language requests using request-conditioned parameter masks, without retraining the recommendation backbone.

Paper | Code

Recommended citation: Zhiyuan Su, Naihe Feng, Luther Qin, and Ga Wu. 2026. CRAMER: Control via Request-Aware Masking for Editing Recommenders. Proceedings of the 43rd International Conference on Machine Learning, PMLR 306:115995–116015.