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2024 ICML ICML 2024

Training Large Language Models for Reasoning through Reverse Curriculum Reinforcement Learning

Abstract

No abstract available. No abstract was captured for this paper when its proceedings were scraped - most often an older edition published without one online. How the corpus is built.

👥 Mega-Team - 21 authors
🌉 Interdisciplinary Bridge - Artificial Intelligence and Reinforcement Learning
🐣 Hot Topic Early Bird - reasoning task

Authors

Zhiheng Xi, Wenxiang Chen, Boyang Hong, Senjie Jin, Rui Zheng, Wei He, Yiwen Ding, Shichun Liu, Xin Guo, Junzhe Wang, Honglin Guo, Wei Shen, Xiaoran Fan, Yuhao Zhou, Shihan Dou, Xiao Wang, Xinbo Zhang, peng sun, Tao Gui, Qi Zhang, Xuanjing Huang

Topics

Reinforcement Learning > Methods > Policy Learning Artificial Intelligence > Core AI > Large Language Models Artificial Intelligence > Core AI > Reasoning

Keywords

process supervision reasoning task large language model outcome supervision demonstrations reverse curriculum reinforcement learning
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