GEARS (Generative Engine for Agentic Ranking Systems), a framework that reframes ranking optimization as an autonomous discovery process within a programmable experimentation environment, and incorporates validation hooks to enforce statistical robustness and filter out brittle policies that overfit short-term signals.
Longfei Yun, Yihang Wu, Haoran Liu et al.· arXiv.org· 2 citations
A self-evolving memory paradigm for generative recommendation is proposed, aiming to enable effective evolution across heterogeneous behavioral patterns, and three key principles for effective self-evolving recommendation systems are identified, including isolated memorization, reinforced evolution, and scalable applic...
Xin-Yu Lin, Zhuo-Song Jiang, Zi-Xiao Suo et al.· 0 citations
Self-Verified Reasoner (SVR-R1), a multi-turn RL framework that turns a model's own verification into a learning signal for multimodal reasoning, is introduced, offering a simple yet effective recipe for bootstrapping multimodal reasoning.
