Learning to reason deductively: Math word problem solving as complex relation extraction
Solving math word problems requires deductive reasoning over the quantities in the text.
Various recent research efforts mostly relied on sequence-to-sequence or sequence-to-tree …
Various recent research efforts mostly relied on sequence-to-sequence or sequence-to-tree …
Solving math word problems concerning systems of equations with gpt-3
M Zong, B Krishnamachari - Proceedings of the AAAI Conference on …, 2023 - ojs.aaai.org
Researchers have been interested in developing AI tools to help students learn various
mathematical subjects. One challenging set of tasks for school students is learning to solve …
mathematical subjects. One challenging set of tasks for school students is learning to solve …
Seeking patterns, not just memorizing procedures: Contrastive learning for solving math word problems
Math Word Problem (MWP) solving needs to discover the quantitative relationships over
natural language narratives. Recent work shows that existing models memorize procedures …
natural language narratives. Recent work shows that existing models memorize procedures …
Mwptoolkit: An open-source framework for deep learning-based math word problem solvers
Abstract While Math Word Problem (MWP) solving has emerged as a popular field of study
and made great progress in recent years, most existing methods are benchmarked solely on …
and made great progress in recent years, most existing methods are benchmarked solely on …
[HTML][HTML] Solving math word problems concerning systems of equations with GPT models
M Zong, B Krishnamachari - Machine Learning with Applications, 2023 - Elsevier
Researchers have been interested in developing AI tools to help students learn various
mathematical subjects. One challenging set of tasks for school students is learning to solve …
mathematical subjects. One challenging set of tasks for school students is learning to solve …
Mint: Boosting generalization in mathematical reasoning via multi-view fine-tuning
Reasoning in mathematical domains remains a significant challenge for relatively small
language models (LMs). Many current methods focus on specializing LMs in mathematical …
language models (LMs). Many current methods focus on specializing LMs in mathematical …
It ain't over: A multi-aspect diverse math word problem dataset
The math word problem (MWP) is a complex task that requires natural language
understanding and logical reasoning to extract key knowledge from natural language …
understanding and logical reasoning to extract key knowledge from natural language …
Analogical math word problems solving with enhanced problem-solution association
Math word problem (MWP) solving is an important task in question answering which
requires human-like reasoning ability. Analogical reasoning has long been used in …
requires human-like reasoning ability. Analogical reasoning has long been used in …
Multi-view reasoning: Consistent contrastive learning for math word problem
Math word problem solver requires both precise relation reasoning about quantities in the
text and reliable generation for the diverse equation. Current sequence-to-tree or relation …
text and reliable generation for the diverse equation. Current sequence-to-tree or relation …
Chaining simultaneous thoughts for numerical reasoning
Given that rich information is hidden behind ubiquitous numbers in text, numerical reasoning
over text should be an essential skill of AI systems. To derive precise equations to solve …
over text should be an essential skill of AI systems. To derive precise equations to solve …