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Disambiguation of "Ji, Kaixuan"

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P-Tuning: Prompt Tuning Can Be Comparable to Fine-tuning Across Scales and Tasks.

, , , , , , and . ACL (2), page 61-68. Association for Computational Linguistics, (2022)

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Hui Ji

Ji Haas

Ji Vymer

Ji Prokop

Yanbin Ji

 

Other publications of authors with the same name

Eco-friendly Dynamic Task Scheduling for Regional Data Center., , , , , and . e-Energy, page 566-571. ACM, (2020)Reinforcement Learning from Human Feedback with Active Queries., , and . CoRR, (2024)An Energy Saving-Oriented Incentive Mechanism in Colocation Data Centers., , , , , and . ICCCN, page 1-6. IEEE, (2020)Horizon-free Reinforcement Learning in Adversarial Linear Mixture MDPs., , , , and . CoRR, (2023)A new meta-heuristic task scheduling algorithm for optimizing energy efficiency in data centers., , , , , , , , and . ISPA/BDCloud/SocialCom/SustainCom, page 947-954. IEEE, (2021)A joint energy efficiency optimization scheme based on marginal cost and workload prediction in data centers., , , , , , and . Sustain. Comput. Informatics Syst., (2021)P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks., , , , , and . CoRR, (2021)Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models., , , , and . CoRR, (2024)A Deep Reinforcement Learning-based Task Scheduling Algorithm for Energy Efficiency in Data Centers., , , , , , , and . ICCCN, page 1-9. IEEE, (2021)An Incentive Mechanism for Improving Energy Efficiency of Colocation Data Centers Based on Power Prediction., , , , , and . ISCC, page 1-6. IEEE, (2020)