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20222024
most citedA Meta Reinforcement Learning Approach for Predictive Autoscaling in the Cloud

48 citations · 87 across the 6 of their papers we have counts for

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cs.LG2023★ 1 cited

MFTCoder: Boosting Code LLMs with Multitask Fine-Tuning

Bingchang Liu, Chaoyu Chen, Cong Liao +9

Code LLMs have emerged as a specialized research field, with remarkable studies dedicated to enhancing model's coding capabilities through fine-tuning on pre-trained models. Previo…

cs.LG2022★ 48 cited

A Meta Reinforcement Learning Approach for Predictive Autoscaling in the Cloud

Siqiao Xue, Chao Qu, Xiaoming Shi +11

Predictive autoscaling (autoscaling with workload forecasting) is an important mechanism that supports autonomous adjustment of computing resources in accordance with fluctuating w…