2 papers
cs.LG2026
Predictive Bandit Curriculum Reinforcement Learning via Gradient-Based Sample Group Discovery
Liang Xu, Shufan Shen, Zhongni Hou +5
Curriculum learning, which organizes training samples according to their learning priority, has been widely adopted in reinforcement learning to improve training efficiency. Howeve…
cs.IR2026
WeGR: Towards Unified Generative Retrieval via Behavior-aware Tokenization and Preference Alignment
Jiajun Han, Guoxin Ma, Felix +9
Generative retrieval (GR) offers a promising paradigm for industrial search by unifying candidate generation within an autoregressive framework. However, effectively leveraging use…