mlsanityData to 14 Oct 2026

A Diverse Corpus for Evaluating and Developing English Math Word Problem Solvers

arXiv 2106.15772 ↗First posted 30 Jun 2021cs.AI cs.CLcited by 318

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Cited by 157 in LLM reasoning, but placed by its own abstract, which didn’t fit.

Abstract (arXiv)

We present ASDiv (Academia Sinica Diverse MWP Dataset), a diverse (in terms of both language patterns and problem types) English math word problem (MWP) corpus for evaluating the capability of various MWP solvers. Existing MWP corpora for studying AI progress remain limited either in language usage patterns or in problem types. We thus present a new English MWP corpus with 2,305 MWPs that cover more text patterns and most problem types taught in elementary school. Each MWP is annotated with its problem type and grade level (for indicating the level of difficulty). Furthermore, we propose a metric to measure the lexicon usage diversity of a given MWP corpus, and demonstrate that ASDiv is more diverse than existing corpora. Experiments show that our proposed corpus reflects the true capability of MWP solvers more faithfully.

Key facts. Cited by 318 papers in the map (data through 14 Oct 2026). Builds on 5 of its 20 references that are in the map. First posted on arXiv 30 Jun 2021.

Builds on

5 of 20 references.

References · 5

  1. 2019MathQA: Towards Interpretable Math Word Problem Solving with Operation-Based Formalismscited by 662
  2. 2017Program Induction by Rationale Generation : Learning to Solve and Explain Algebraic Word Problemscited by 650
  3. 2016Solving General Arithmetic Word Problemscited by 360
  4. 2016Unit Dependency Graph and its Application to Arithmetic Word Problem Solvingcited by 25
  5. 2018A Meaning-based Statistical English Math Word Problem Solvercited by 10

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2021: 6; 2022: 28; 2023: 70; 2024: 93; 2025: 75; 2026: 46.

318 papers.

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  1. 2022Chain-of-Thought Prompting Elicits Reasoning in Large Language Modelscited by 12,459
  2. 2021Training Verifiers to Solve Math Word Problemscited by 10,109
  3. 2022Self-Consistency Improves Chain of Thought Reasoning in Language Modelscited by 5,708
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38 more
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  11. 2023ToRA: A Tool-Integrated Reasoning Agent for Mathematical Problem Solvingcited by 282
  12. 2022Reasoning with Language Model Prompting: A Surveycited by 252
  13. 2025Reasoning with Latent Thoughts: On the Power of Looped Transformerscited by 240
  14. 2022Making Large Language Models Better Reasoners with Step-Aware Verifiercited by 233
  15. 2023Self-Evaluation Guided Beam Search for Reasoningcited by 196
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  21. 2022ROSCOE: A Suite of Metrics for Scoring Step-by-Step Reasoningcited by 177
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  23. 2024GSM-Plus: A Comprehensive Benchmark for Evaluating the Robustness of LLMs as Mathematical Problem Solverscited by 158
  24. 2023Active Prompting with Chain-of-Thought for Large Language Modelscited by 154
  25. 2024Orca-Math: Unlocking the potential of SLMs in Grade School Mathcited by 151
  26. 2024OpenMathInstruct-1: A 1.8 Million Math Instruction Tuning Datasetcited by 143
  27. 2024Multi-Step Reasoning with Large Language Models, a Surveycited by 143
  28. 2024Exploring the Reasoning Abilities of Multimodal Large Language Models (MLLMs): A Comprehensive Survey on Emerging Trends in Multimodal Reasoningcited by 136
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  31. 2025A Survey of Efficient Reasoning for Large Reasoning Models: Language, Multimodality, and Beyondcited by 132
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  33. 2022A Survey of Deep Learning for Mathematical Reasoningcited by 124
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  35. 2025SoftCoT: Soft Chain-of-Thought for Efficient Reasoning with LLMscited by 116
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  37. 2023Let's Sample Step by Step: Adaptive-Consistency for Efficient Reasoning and Coding with LLMscited by 115
  38. 2025OctoThinker: Mid-training Incentivizes Reinforcement Learning Scalingcited by 113

50 most cited of 318 All 318 (JSON)