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cs.LG2026
From Prompts to Trees: Effective LLM-Guided Tree Generation for Few-Shot Tabular Classification
Yue Qiu, Zekang Du, Yiqun Diao +2
While Large Language Models (LLMs) possess rich world knowledge and impressive generalization capabilities, their direct application to tabular data classification is hindered by h…
cs.LG2022
HARL: Hierarchical Adaptive Reinforcement Learning Based Auto Scheduler for Neural Networks
Zining Zhang, Bingsheng He, Zhenjie Zhang
To efficiently perform inference with neural networks, the underlying tensor programs require sufficient tuning efforts before being deployed into production environments. Usually,…