Math Word Problem Solving
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Benchmarks
MATH
AIME 2025
MATH-500
SVAMP
MAWPS
Math23K
ALG514
ASDiv-A
ParaMAWPS
DRAW-1K
MathQA
SVAMP (1:N)
GSM-Plus
MATH minival
PEN
Most implemented
LLaMA: Open and Efficient Foundation Language Models
Llama 2: Open Foundation and Fine-Tuned Chat Models
DeBERTa: Decoding-enhanced BERT with Disentangled Attention
Analysing Mathematical Reasoning Abilities of Neural Models
Qwen2 Technical Report
Mixtral of Experts
Papers
A Diversity-Enhanced Knowledge Distillation Model for Practical Math Word Problem Solving
Math Word Problem (MWP) solving is a critical task in natural language processing, has garnered significant research interest in recent years. Various recent studies heavily rely on Seq2Seq models and their extensions (e…
DiversityKnowledge DistillationMathMath Word Problem SolvingLearning by Analogy: Enhancing Few-Shot Prompting for Math Word Problem Solving with Computational Graph-Based Retrieval
Large language models (LLMs) are known to struggle with complicated reasoning tasks such as math word problems (MWPs). In this paper, we present how analogy from similarly structured questions can improve LLMs' problem-s…
MathMath Word Problem SolvingRetrievalSBI-RAG: Enhancing Math Word Problem Solving for Students through Schema-Based Instruction and Retrieval-Augmented Generation
Many students struggle with math word problems (MWPs), often finding it difficult to identify key information and select the appropriate mathematical operations. Schema-based instruction (SBI) is an evidence-based strate…
GSM8KLanguage ModelingLanguage ModellingLarge Language Model+5When Not to Answer: Evaluating Prompts on GPT Models for Effective Abstention in Unanswerable Math Word Problems
Large language models (LLMs) are increasingly relied upon to solve complex mathematical word problems. However, being susceptible to hallucination, they may generate inaccurate results when presented with unanswerable qu…
HallucinationMathMath Word Problem SolvingTeaching-Inspired Integrated Prompting Framework: A Novel Approach for Enhancing Reasoning in Large Language Models
Large Language Models (LLMs) exhibit impressive performance across various domains but still struggle with arithmetic reasoning tasks. Recent work shows the effectiveness of prompt design methods in enhancing reasoning c…
Arithmetic ReasoningMathMathematical ReasoningMath Word Problem SolvingOpenMathInstruct-2: Accelerating AI for Math with Massive Open-Source Instruction Data
Mathematical reasoning continues to be a critical challenge in large language model (LLM) development with significant interest. However, most of the cutting-edge progress in mathematical reasoning with LLMs has become \…
Arithmetic ReasoningLarge Language ModelMathMathematical Reasoning+1