4 papers
When Should a World Model Move? Loss-Conditioned State Execution
Jintao Xu, Zhengyu Chen, Ben Zhang +2
We introduce loss-conditioned state execution, a model-agnostic method that decides whether to execute a world model's fixed feasible proposal or retain the current state. Predicti…
SSPO: Structure-Aware Similarity-Weighted Preference Optimization for Neural Combinatorial Optimization
Yuanyu Li, Jintao Xu, Zijiang Liu +6
Neural combinatorial optimization (NCO) relies on parallel solution sampling for training, yet existing methods fail to fully exploit the rich information latent in a co-sampled so…
Large Language Model for Operations Research Formulation Selection in Multi-Warehouse Inventory Allocation
Jintao Xu, Yingzheng Ma, Jiong Dong +2
Multi-warehouse inventory allocation is typically formulated as a mixed-integer programming (MIP) problem, yet no single formulation consistently matches heterogeneous instance-lev…
Solver-Verified Formulation Generation and Selection for Multi-Warehouse Inventory Allocation Using Large Language Models
Jintao Xu, Yingzheng Ma, Jiong Dong +4
Balance-oriented multi-warehouse inventory allocation is a recurring decision problem in large-scale e-commerce supply chains, in which a fixed replenishment quantity is distribute…