23 citations · 37 across the 23 of their papers we have counts for
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MathCoder2: Better Math Reasoning from Continued Pretraining on Model-translated Mathematical Code
Zimu Lu, Aojun Zhou, Ke Wang +5
Code has been shown to be effective in enhancing the mathematical reasoning abilities of large language models due to its precision and accuracy. Previous works involving continued…
Empowering Character-level Text Infilling by Eliminating Sub-Tokens
Houxing Ren, Mingjie Zhan, Zhongyuan Wu +1
In infilling tasks, sub-tokens, representing instances where a complete token is segmented into two parts, often emerge at the boundaries of prefixes, middles, and suffixes. Tradit…
ReflectionCoder: Learning from Reflection Sequence for Enhanced One-off Code Generation
Houxing Ren, Mingjie Zhan, Zhongyuan Wu +3
Code generation plays a crucial role in various tasks, such as code auto-completion and mathematical reasoning. Previous work has proposed numerous methods to enhance code generati…
MathGenie: Generating Synthetic Data with Question Back-translation for Enhancing Mathematical Reasoning of LLMs
Zimu Lu, Aojun Zhou, Houxing Ren +5
Large language models (LLMs) have exhibited great potential in mathematical reasoning. However, there remains a performance gap in this area between existing open-source models and…