4 papers
MT-R1-Zero: Advancing LLM-based Machine Translation via R1-Zero-like Reinforcement Learning
Zhaopeng Feng, Shaosheng Cao, Jiahan Ren +7
Large-scale reinforcement learning (RL) methods have proven highly effective in enhancing the reasoning abilities of large language models (LLMs), particularly for tasks with verif…
Dynamic Topic Analysis in Academic Journals using Convex Non-negative Matrix Factorization Method
Yang Yang, Tong Zhang, Jian Wu +1
With the rapid advancement of large language models, academic topic identification and topic evolution analysis are crucial for enhancing AI's understanding capabilities. Dynamic t…
Prediction of Mode Structure Using A Novel Physics-Embedded Neural ODE Method
Bowen Zhu, Hao Wang, Jian Wu +1
We designed a new artificial neural network by modifying the neural ordinary differential equation (NODE) framework to successfully predict the time evolution of the 2D mode profil…
Enhancing Semi-Supervised Learning via Representative and Diverse Sample Selection
Qian Shao, Jiangrui Kang, Qiyuan Chen +5
Semi-Supervised Learning (SSL) has become a preferred paradigm in many deep learning tasks, which reduces the need for human labor. Previous studies primarily focus on effectively…