Y. Zhang

most citedTraining Large Language Models for Reasoning through Reverse Curriculum Reinforcement Learning

2 citations · 2 across the 3 of their papers we have counts for

collaborators

2 papers

cs.AI2024★ 2 cited

Training Large Language Models for Reasoning through Reverse Curriculum Reinforcement Learning

Zhiheng Xi, Wenxiang Chen, Boyang Hong +18

In this paper, we propose R $^{3}$ : Learning Reasoning through Reverse Curriculum Reinforcement Learning (RL), a novel method that employs only outcome supervision to achieve the bene…

hep-ex2023

Studies of the decay $D_{s}^{+} \to K^{+} K^{-} μ^{+} ν_{μ}$

BESIII Collaboration, M. Ablikim, M. N. Achasov +608

The $D_{s}^{+} \to K^{+} K^{-} μ^{+} ν_{μ}$ decay is studied based on 7.33 fb $^{- 1}$ of $e^{+} e^{-}$ collision data collected with the BESIII detector at center-of-mass energies in the range from 4.12…

Training Large Language Models for Reasoning through Reverse Curriculum Reinforcement Learning

Studies of the decay Ds+​→K+K−μ+νμ​

Studies of the decay $D_{s}^{+} \to K^{+} K^{-} μ^{+} ν_{μ}$