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Found 2 papers, 1 papers with code
Enhancing Courier Scheduling in Crowdsourced Last-Mile Delivery through Dynamic Shift Extensions: A Deep Reinforcement Learning Approach
In this study, we focus on the problem of dynamically adjusting the offline schedule through shift extensions for committed couriers.
CIDAR: Culturally Relevant Instruction Dataset For Arabic
Instruction tuning has emerged as a prominent methodology for teaching Large Language Models (LLMs) to follow instructions.
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