53 citations · 62 across the 8 of their papers we have counts for
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cs.CL2024
LogicPro: Improving Complex Logical Reasoning via Program-Guided Learning
Jin Jiang, Yuchen Yan, Yang Liu +6
In this paper, we propose a new data synthesis method called \textbf{LogicPro}, which leverages LeetCode-style algorithm \underline{Pro}blems and their corresponding \underline{Pro…
cs.CL2024★ 1 cited
MultiMath: Bridging Visual and Mathematical Reasoning for Large Language Models
Shuai Peng, Di Fu, Liangcai Gao +3
The rapid development of large language models (LLMs) has spurred extensive research into their domain-specific capabilities, particularly mathematical reasoning. However, most ope…
cs.CL2021★ 53 cited
MathBERT: A Pre-Trained Model for Mathematical Formula Understanding
Shuai Peng, Ke Yuan, Liangcai Gao +1
Large-scale pre-trained models like BERT, have obtained a great success in various Natural Language Processing (NLP) tasks, while it is still a challenge to adapt them to the math-…