4 citations · 5 across the 3 of their papers we have counts for
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cs.CL2025
An Efficient and Precise Training Data Construction Framework for Process-supervised Reward Model in Mathematical Reasoning
Wei Sun, Qianlong Du, Fuwei Cui +1
Enhancing the mathematical reasoning capabilities of Large Language Models (LLMs) is of great scientific and practical significance. Researchers typically employ process-supervised…
cs.CL2024
ChineseWebText 2.0: Large-Scale High-quality Chinese Web Text with Multi-dimensional and fine-grained information
Wanyue Zhang, Ziyong Li, Wen Yang +5
During the development of large language models (LLMs), pre-training data play a critical role in shaping LLMs' capabilities. In recent years several large-scale and high-quality p…
cs.CL2023★ 4 cited
MoDS: Model-oriented Data Selection for Instruction Tuning
Qianlong Du, Chengqing Zong, Jiajun Zhang
Instruction tuning has become the de facto method to equip large language models (LLMs) with the ability of following user instructions. Usually, hundreds of thousands or millions…