Cong Zhang

Tug-of-War No More: Harmonizing Accuracy and Robustness in Vision-Language Models via Stability-Aware Task Vector Merging

Refining Hybrid Genetic Search for CVRP via Reinforcement Learning-Finetuned LLM

RESCHED: Rethinking Flexible Job Shop Scheduling from a Transformer-based Architecture with Simplified States

An Agentic Framework with LLMs for Solving Complex Vehicle Routing Problems

Robust SuperAlignment: Weak-to-Strong Robustness Generalization for Vision-Language Models

Graph Assisted Offline-Online Deep Reinforcement Learning for Dynamic Workflow Scheduling

Adaptive Tool Use in Large Language Models with Meta-Cognition Trigger

Decision-making with speculative opponent model-aided value function factorization

CtrlA: Adaptive Retrieval-Augmented Generation via Inherent Control